diff --git a/404.html b/404.html index 8021a67..cd1c035 100644 --- a/404.html +++ b/404.html @@ -26,7 +26,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/authors.html b/authors.html index 92f991f..7838318 100644 --- a/authors.html +++ b/authors.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 @@ -78,7 +78,7 @@ Citation Hyndman R (2024). fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition). -R package version 0.5.0.9000, +R package version 1.0.0, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/, https://pkg.robjhyndman.com/fpp3package/. @@ -86,7 +86,7 @@ Citation title = {fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition)}, author = {Rob Hyndman}, year = {2024}, - note = {R package version 0.5.0.9000, + note = {R package version 1.0.0, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/}, url = {https://pkg.robjhyndman.com/fpp3package/}, diff --git a/index.html b/index.html index c0e0c42..203ff61 100644 --- a/index.html +++ b/index.html @@ -28,7 +28,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/news/index.html b/news/index.html index dabd680..8196dfa 100644 --- a/news/index.html +++ b/news/index.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 @@ -45,7 +45,7 @@ -fpp3 (development version) +fpp3 1.0.0 Many more data sets added: aus_births aus_fertility diff --git a/pkgdown.yml b/pkgdown.yml index 512f796..d12c2af 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.11 pkgdown: 2.0.9 pkgdown_sha: ~ articles: {} -last_built: 2024-06-25T07:44Z +last_built: 2024-06-25T07:46Z urls: reference: https://pkg.robjhyndman.com/fpp3package/reference article: https://pkg.robjhyndman.com/fpp3package/articles diff --git a/reference/aus_accommodation.html b/reference/aus_accommodation.html index 4dabf32..241fb9e 100644 --- a/reference/aus_accommodation.html +++ b/reference/aus_accommodation.html @@ -20,7 +20,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_airpassengers.html b/reference/aus_airpassengers.html index 7d9b0cd..e3189e9 100644 --- a/reference/aus_airpassengers.html +++ b/reference/aus_airpassengers.html @@ -14,7 +14,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_arrivals.html b/reference/aus_arrivals.html index c0547a1..41e89eb 100644 --- a/reference/aus_arrivals.html +++ b/reference/aus_arrivals.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_births.html b/reference/aus_births.html index 5894a91..15215d1 100644 --- a/reference/aus_births.html +++ b/reference/aus_births.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_fertility.html b/reference/aus_fertility.html index 2898607..939d793 100644 --- a/reference/aus_fertility.html +++ b/reference/aus_fertility.html @@ -18,7 +18,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_inbound.html b/reference/aus_inbound.html index 0fdcfd2..f220c71 100644 --- a/reference/aus_inbound.html +++ b/reference/aus_inbound.html @@ -18,7 +18,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_migration.html b/reference/aus_migration.html index 8c835a1..5deb868 100644 --- a/reference/aus_migration.html +++ b/reference/aus_migration.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_mortality.html b/reference/aus_mortality.html index 613171a..024f505 100644 --- a/reference/aus_mortality.html +++ b/reference/aus_mortality.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_outbound.html b/reference/aus_outbound.html index 3284717..576d67f 100644 --- a/reference/aus_outbound.html +++ b/reference/aus_outbound.html @@ -18,7 +18,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_tobacco.html b/reference/aus_tobacco.html index c8a13ba..1e0f04d 100644 --- a/reference/aus_tobacco.html +++ b/reference/aus_tobacco.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/aus_vehicle_sales.html b/reference/aus_vehicle_sales.html index 0803832..3940ecd 100644 --- a/reference/aus_vehicle_sales.html +++ b/reference/aus_vehicle_sales.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/bank_calls.html b/reference/bank_calls.html index 12e7537..8dcee66 100644 --- a/reference/bank_calls.html +++ b/reference/bank_calls.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/boston_marathon.html b/reference/boston_marathon.html index abb20bc..a589f1c 100644 --- a/reference/boston_marathon.html +++ b/reference/boston_marathon.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/canadian_gas.html b/reference/canadian_gas.html index 6754f6c..cb9a43d 100644 --- a/reference/canadian_gas.html +++ b/reference/canadian_gas.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/fpp3-package.html b/reference/fpp3-package.html index 49ad01d..f2aa449 100644 --- a/reference/fpp3-package.html +++ b/reference/fpp3-package.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/fpp3_conflicts.html b/reference/fpp3_conflicts.html index 7f01f89..662b44e 100644 --- a/reference/fpp3_conflicts.html +++ b/reference/fpp3_conflicts.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/fpp3_packages.html b/reference/fpp3_packages.html index cc24bc8..9c04d57 100644 --- a/reference/fpp3_packages.html +++ b/reference/fpp3_packages.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/guinea_rice.html b/reference/guinea_rice.html index 6970b67..ffce464 100644 --- a/reference/guinea_rice.html +++ b/reference/guinea_rice.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/index.html b/reference/index.html index ae86b66..a104485 100644 --- a/reference/index.html +++ b/reference/index.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/insurance.html b/reference/insurance.html index 951179c..d5cde75 100644 --- a/reference/insurance.html +++ b/reference/insurance.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/melb_walkers.html b/reference/melb_walkers.html index d47a17a..9a5b3d1 100644 --- a/reference/melb_walkers.html +++ b/reference/melb_walkers.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/nsw_offences.html b/reference/nsw_offences.html index 6ec4cca..be3a706 100644 --- a/reference/nsw_offences.html +++ b/reference/nsw_offences.html @@ -18,7 +18,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/ny_childcare.html b/reference/ny_childcare.html index a1cbf23..0a83b55 100644 --- a/reference/ny_childcare.html +++ b/reference/ny_childcare.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/otexts_views.html b/reference/otexts_views.html index 4c9b64f..9c00134 100644 --- a/reference/otexts_views.html +++ b/reference/otexts_views.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/prices.html b/reference/prices.html index 8813793..c87c622 100644 --- a/reference/prices.html +++ b/reference/prices.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/souvenirs.html b/reference/souvenirs.html index 1dd8522..ed604d1 100644 --- a/reference/souvenirs.html +++ b/reference/souvenirs.html @@ -10,7 +10,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/us_change.html b/reference/us_change.html index ec0c546..e4581c5 100644 --- a/reference/us_change.html +++ b/reference/us_change.html @@ -16,7 +16,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/us_employment.html b/reference/us_employment.html index 68f8621..204584e 100644 --- a/reference/us_employment.html +++ b/reference/us_employment.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/reference/us_gasoline.html b/reference/us_gasoline.html index f6307ff..fba1fc5 100644 --- a/reference/us_gasoline.html +++ b/reference/us_gasoline.html @@ -12,7 +12,7 @@ fpp3 - 0.5.0.9000 + 1.0.0 diff --git a/search.json b/search.json index ec24519..f60e4a0 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"https://pkg.robjhyndman.com/fpp3package/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Rob Hyndman. Author, maintainer, copyright holder. George Athanasopoulos. Contributor. Mitchell O'Hara-Wild. Contributor. Nuwani Palihawadana. Contributor. Shanika Wickramasuriya. Contributor. RStudio. Copyright holder.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Hyndman R (2024). fpp3: Data \"Forecasting: Principles Practice\" (3rd Edition). R package version 0.5.0.9000, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/, https://pkg.robjhyndman.com/fpp3package/.","code":"@Manual{, title = {fpp3: Data for \"Forecasting: Principles and Practice\" (3rd Edition)}, author = {Rob Hyndman}, year = {2024}, note = {R package version 0.5.0.9000, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/}, url = {https://pkg.robjhyndman.com/fpp3package/}, }"},{"path":[]},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Data for ","text":"fpp3 package contains data used book Forecasting: Principles Practice (3rd edition) Rob J Hyndman George Athanasopoulos. also loads several packages needed analysis described book. packages work tidyverse set packages, sharing common data representations API design. Additional data sets used book also included.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Data for ","text":"can install stable version CRAN. can install development version Github","code":"install.packages('fpp3', dependencies = TRUE) # install.packages(\"remotes\") remotes::install_github(\"robjhyndman/fpp3package\")"},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Data for ","text":"library(fpp3) load following packages: tibble, tibbles, modern re-imagining data frames. dplyr, data manipulation. tidyr, easily tidy data using spread() gather(). lubridate, date/times. ggplot2, data visualisation. tsibble, tsibbles, time series version tibble. tsibbledata, various time series data sets form tsibbles. feasts, features statistics time series. fable, fitting models producing forecasts. also get condensed summary conflicts packages loaded:","code":"library(fpp3) #> ── Attaching packages ─────────────────────────────────────── fpp3 0.5.0.9000 ── #> ✔ tibble 3.2.1 ✔ tsibble 1.1.4 #> ✔ dplyr 1.1.4 ✔ tsibbledata 0.4.1 #> ✔ tidyr 1.3.1 ✔ feasts 0.3.2 #> ✔ lubridate 1.9.3 ✔ fable 0.3.4 #> ✔ ggplot2 3.5.1 ✔ fabletools 0.4.2 #> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ── #> ✖ lubridate::date() masks base::date() #> ✖ dplyr::filter() masks stats::filter() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ dplyr::lag() masks stats::lag() #> ✖ tsibble::setdiff() masks base::setdiff() #> ✖ tsibble::union() masks base::union()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian accommodation data — aus_accommodation","title":"Australian accommodation data — aus_accommodation","text":"aus_accommodation quarterly `tsibble` containing data Australian tourist accommodation short-term non-residential accommodation 15 rooms, 1998 Q1 - 2016 Q2. data set also contains Australian Consumer Price Index (CPI) period. Takings millions Australian dollars, Occupancy percentage rooms occupied, CPI index value 100 2012 Q1.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian accommodation data — aus_accommodation","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian accommodation data — aus_accommodation","text":"Australian Bureau Statistics, Cat 8635.0, Table 10, Cat 6401.0, Table 1.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian accommodation data — aus_accommodation","text":"","code":"aus_accommodation #> # A tsibble: 592 x 5 [1Q] #> # Key: State [8] #> Date State Takings Occupancy CPI #> #> 1 1998 Q1 Australian Capital Territory 24.3 65 67 #> 2 1998 Q2 Australian Capital Territory 22.3 59 67.4 #> 3 1998 Q3 Australian Capital Territory 22.5 58 67.5 #> 4 1998 Q4 Australian Capital Territory 24.4 59 67.8 #> 5 1999 Q1 Australian Capital Territory 23.7 58 67.8 #> 6 1999 Q2 Australian Capital Territory 25.4 61 68.1 #> 7 1999 Q3 Australian Capital Territory 28.2 66 68.7 #> 8 1999 Q4 Australian Capital Territory 25.8 60 69.1 #> 9 2000 Q1 Australian Capital Territory 27.3 60.9 69.7 #> 10 2000 Q2 Australian Capital Territory 30.1 64.7 70.2 #> # ℹ 582 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":null,"dir":"Reference","previous_headings":"","what":"Air Transport Passengers Australia — aus_airpassengers","title":"Air Transport Passengers Australia — aus_airpassengers","text":"Total annual air passengers (millions) including domestic international aircraft passengers air carriers registered Australia. 1970-2016.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Air Transport Passengers Australia — aus_airpassengers","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Air Transport Passengers Australia — aus_airpassengers","text":"World Bank.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Air Transport Passengers Australia — aus_airpassengers","text":"","code":"aus_airpassengers #> # A tsibble: 47 x 2 [1Y] #> Year Passengers #> #> 1 1970 7.32 #> 2 1971 7.33 #> 3 1972 7.80 #> 4 1973 9.38 #> 5 1974 10.7 #> 6 1975 11.1 #> 7 1976 10.9 #> 8 1977 11.3 #> 9 1978 12.1 #> 10 1979 13.0 #> # ℹ 37 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":null,"dir":"Reference","previous_headings":"","what":"International Arrivals to Australia — aus_arrivals","title":"International Arrivals to Australia — aus_arrivals","text":"Quarterly international arrivals Australia Japan, New Zealand, UK US. 1981Q1 - 2012Q3.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"International Arrivals to Australia — aus_arrivals","text":"Quarterly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"International Arrivals to Australia — aus_arrivals","text":"Tourism Research Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"International Arrivals to Australia — aus_arrivals","text":"","code":"aus_arrivals #> # A tsibble: 508 x 3 [1Q] #> # Key: Origin [4] #> Quarter Origin Arrivals #> #> 1 1981 Q1 Japan 14763 #> 2 1981 Q2 Japan 9321 #> 3 1981 Q3 Japan 10166 #> 4 1981 Q4 Japan 19509 #> 5 1982 Q1 Japan 17117 #> 6 1982 Q2 Japan 10617 #> 7 1982 Q3 Japan 11737 #> 8 1982 Q4 Japan 20961 #> 9 1983 Q1 Japan 20671 #> 10 1983 Q2 Japan 12235 #> # ℹ 498 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian births data — aus_births","title":"Australian births data — aus_births","text":"Number births Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian births data — aus_births","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian births data — aus_births","text":"Australian Bureau Statistics. https://www.abs.gov.au/statistics/people/population/births-australia/2022","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian births data — aus_births","text":"aus_births monthly `tsibble` one measured variable: January 1975 December 2021 6 states 2 territories Australia, indexed : #' series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian births data — aus_births","text":"","code":"aus_births #> # A tsibble: 4,512 x 3 [1M] #> # Key: State [8] #> State Month Births #> #> 1 ACT 1975 Jan 320 #> 2 ACT 1975 Feb 333 #> 3 ACT 1975 Mar 342 #> 4 ACT 1975 Apr 348 #> 5 ACT 1975 May 336 #> 6 ACT 1975 Jun 374 #> 7 ACT 1975 Jul 372 #> 8 ACT 1975 Aug 354 #> 9 ACT 1975 Sep 361 #> 10 ACT 1975 Oct 337 #> # ℹ 4,502 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian women fertility rate — aus_fertility","title":"Australian women fertility rate — aus_fertility","text":"aus_fertility yearly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian women fertility rate — aus_fertility","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian women fertility rate — aus_fertility","text":"Australian Bureau Statistics. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian women fertility rate — aus_fertility","text":"series uniquely identified using two keys: based calendar year registration data. covers period 1975--2022.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian women fertility rate — aus_fertility","text":"","code":"aus_fertility #> # A tsibble: 15,120 x 4 [1Y] #> # Key: Age, Region [315] #> Year Region Age Rate #> #> 1 1975 Australia 15 7 #> 2 1976 Australia 15 6.6 #> 3 1977 Australia 15 5.7 #> 4 1978 Australia 15 5.5 #> 5 1979 Australia 15 5.1 #> 6 1980 Australia 15 4.8 #> 7 1981 Australia 15 4.8 #> 8 1982 Australia 15 4.7 #> 9 1983 Australia 15 4.9 #> 10 1984 Australia 15 3.8 #> # ℹ 15,110 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"aus_inbound monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"Tourism Research Australia","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"series uniquely identified using two keys: covering period Jan 2005--Feb 2020.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"","code":"aus_inbound #> # A tsibble: 20,748 x 4 [1M] #> # Key: Country, Purpose [114] #> Month Country Purpose Count #> #> 1 2005 Jan Canada Business 0.924 #> 2 2005 Feb Canada Business 1.04 #> 3 2005 Mar Canada Business 1.30 #> 4 2005 Apr Canada Business 1.29 #> 5 2005 May Canada Business 1.12 #> 6 2005 Jun Canada Business 0.813 #> 7 2005 Jul Canada Business 0.881 #> 8 2005 Aug Canada Business 1.45 #> 9 2005 Sep Canada Business 1.24 #> 10 2005 Oct Canada Business 1.24 #> # ℹ 20,738 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian migration data — aus_migration","title":"Australian migration data — aus_migration","text":"Net Overseas Migration (NOM) Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian migration data — aus_migration","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian migration data — aus_migration","text":"Australian Bureau Statistics. . Cat . 310102.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian migration data — aus_migration","text":"aus_migration quarterly `tsibble` one measured variable: 1981 Q2 2023 Q3 6 states 2 territories Australia, indexed : NOM based international traveller's duration stay Australia 12 months , 16 month period. series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian migration data — aus_migration","text":"","code":"aus_migration #> # A tsibble: 1,360 x 3 [1Q] #> # Key: State [8] #> Quarter State NOM #> #> 1 1981 Q2 ACT -131 #> 2 1981 Q3 ACT 152 #> 3 1981 Q4 ACT 383 #> 4 1982 Q1 ACT 419 #> 5 1982 Q2 ACT 271 #> 6 1982 Q3 ACT 80 #> 7 1982 Q4 ACT 209 #> 8 1983 Q1 ACT 283 #> 9 1983 Q2 ACT -31 #> 10 1983 Q3 ACT 199 #> # ℹ 1,350 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian mortality data — aus_mortality","title":"Australian mortality data — aus_mortality","text":"Weekly death counts mortality rates Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian mortality data — aus_mortality","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian mortality data — aus_mortality","text":"https://mortality.org/Data/STMF (Downloaded 29 May 2024)","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian mortality data — aus_mortality","text":"aus_mortality weekly `tsibble` two measured variables: 2015 week 01 2023 week 12 five different age groups plus total, categorised sex. series uniquely identified using three keys: mortality rate defined number deaths per thousand people Australia week.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian mortality data — aus_mortality","text":"","code":"aus_mortality #> # A tsibble: 7,740 x 5 [1W] #> # Key: Sex, Age [18] #> Week Sex Age Deaths Mortality #> #> 1 2015 W01 Both 0-14 31.1 0.000360 #> 2 2015 W02 Both 0-14 29.0 0.000334 #> 3 2015 W03 Both 0-14 27.5 0.000318 #> 4 2015 W04 Both 0-14 27.8 0.000321 #> 5 2015 W05 Both 0-14 26.0 0.000300 #> 6 2015 W06 Both 0-14 28.5 0.000330 #> 7 2015 W07 Both 0-14 29.4 0.000339 #> 8 2015 W08 Both 0-14 31.2 0.000361 #> 9 2015 W09 Both 0-14 27.9 0.000322 #> 10 2015 W10 Both 0-14 29.0 0.000334 #> # ℹ 7,730 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"aus_outbound monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"Tourism Research Australia","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"series uniquely identified using two keys: covering period Jan 2005--Jun 2017.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"","code":"aus_outbound #> # A tsibble: 11,700 x 4 [1M] #> # Key: Country, Purpose [78] #> Month Country Purpose Count #> #> 1 2005 Jan China (excl SARs and Taiwan province) Business 5.75 #> 2 2005 Feb China (excl SARs and Taiwan province) Business 4.48 #> 3 2005 Mar China (excl SARs and Taiwan province) Business 7.05 #> 4 2005 Apr China (excl SARs and Taiwan province) Business 9.84 #> 5 2005 May China (excl SARs and Taiwan province) Business 6.05 #> 6 2005 Jun China (excl SARs and Taiwan province) Business 7.11 #> 7 2005 Jul China (excl SARs and Taiwan province) Business 6.56 #> 8 2005 Aug China (excl SARs and Taiwan province) Business 8.35 #> 9 2005 Sep China (excl SARs and Taiwan province) Business 7.97 #> 10 2005 Oct China (excl SARs and Taiwan province) Business 8.68 #> # ℹ 11,690 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian cigarette and tobacco expenditure — aus_tobacco","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"total household expenditure cigarette tobacco consumption (CTC) Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"Australian Bureau Statistics. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"aus_tobacco quarterly `tsibble` one value: 1985 Q3 2023 Q4 6 states 2 territories Australia, indexed : prices represented chain volume measure (representation constant prices) billions dollars. series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"","code":"aus_tobacco |> autoplot(Expenditure) + scale_y_log10()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian vehicle sales — aus_vehicle_sales","title":"Australian vehicle sales — aus_vehicle_sales","text":"number new motor vehicles sold Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian vehicle sales — aus_vehicle_sales","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian vehicle sales — aus_vehicle_sales","text":"Australian Bureau Statistics. . Cat . 931401.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian vehicle sales — aus_vehicle_sales","text":"aus_vehicle_sales monthly `tsibble` one measured variable: January 1994 December 2017 Australia, indexed : series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian vehicle sales — aus_vehicle_sales","text":"","code":"aus_vehicle_sales #> # A tsibble: 864 x 3 [1M] #> # Key: Type [3] #> Month Type Count #> #> 1 1994 Jan Other 5.46 #> 2 1994 Feb Other 7.42 #> 3 1994 Mar Other 10.3 #> 4 1994 Apr Other 8.02 #> 5 1994 May Other 10.2 #> 6 1994 Jun Other 15.8 #> 7 1994 Jul Other 7.36 #> 8 1994 Aug Other 8.40 #> 9 1994 Sep Other 8.13 #> 10 1994 Oct Other 9.17 #> # ℹ 854 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":null,"dir":"Reference","previous_headings":"","what":"Call volume for a large North American commercial bank — bank_calls","title":"Call volume for a large North American commercial bank — bank_calls","text":"Five-minute call volume handled weekdays 7:00am 9:05pm, beginning 3 March 24 October 2003 (164 days).","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Call volume for a large North American commercial bank — bank_calls","text":"Time series class `tsibble` 5 minute intervals.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Call volume for a large North American commercial bank — bank_calls","text":"Jonathan Weinberg","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Call volume for a large North American commercial bank — bank_calls","text":"Weinberg, Brown & Stroud (2007) \"Bayesian forecasting inhomogeneous Poisson process applications call center data\" Journal American Statistical Associiation, 102:480, 1185-1198.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Call volume for a large North American commercial bank — bank_calls","text":"","code":"bank_calls #> # A tsibble: 27,716 x 2 [5m] #> DateTime Calls #> #> 1 2003-03-03 07:00:00 111 #> 2 2003-03-03 07:05:00 113 #> 3 2003-03-03 07:10:00 76 #> 4 2003-03-03 07:15:00 82 #> 5 2003-03-03 07:20:00 91 #> 6 2003-03-03 07:25:00 87 #> 7 2003-03-03 07:30:00 75 #> 8 2003-03-03 07:35:00 89 #> 9 2003-03-03 07:40:00 99 #> 10 2003-03-03 07:45:00 125 #> # ℹ 27,706 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":null,"dir":"Reference","previous_headings":"","what":"Boston marathon winning times since 1897 — boston_marathon","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Winning times events Boston Marathon. 1897-2019.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Boston Athletic Association. https://www.baa.org/races/boston-marathon/results/champions","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Boston marathon winning times since 1897 — boston_marathon","text":"","code":"boston_marathon #> # A tsibble: 265 x 5 [1Y] #> # Key: Event [5] #> Event Year Champion Country Time #> #> 1 Men's open division 1897 John J. McDermott United States 10510 secs #> 2 Men's open division 1898 Ronald J. MacDonald Canada 9720 secs #> 3 Men's open division 1899 Lawrence Brignolia United States 10478 secs #> 4 Men's open division 1900 John P. Caffery Canada 9584 secs #> 5 Men's open division 1901 John P. Caffery Canada 8963 secs #> 6 Men's open division 1902 Sammy A. Mellor United States 9792 secs #> 7 Men's open division 1903 John C. Lorden United States 9689 secs #> 8 Men's open division 1904 Michael Spring United States 9484 secs #> 9 Men's open division 1905 Frederick Lorz United States 9505 secs #> 10 Men's open division 1906 Timothy Ford United States 9945 secs #> # ℹ 255 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly Canadian gas production — canadian_gas","title":"Monthly Canadian gas production — canadian_gas","text":"Monthly Canadian gas production, billions cubic metres, January 1960 - February 2005","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly Canadian gas production — canadian_gas","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly Canadian gas production — canadian_gas","text":"Hyndman, R.J., Koehler, .B., Ord, J.K., Snyder, R.D., (2008) Forecasting exponential smoothing: state space approach, Springer.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Monthly Canadian gas production — canadian_gas","text":"http://www.exponentialsmoothing.net","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly Canadian gas production — canadian_gas","text":"","code":"canadian_gas #> # A tsibble: 542 x 2 [1M] #> Month Volume #> #> 1 1960 Jan 1.43 #> 2 1960 Feb 1.31 #> 3 1960 Mar 1.40 #> 4 1960 Apr 1.17 #> 5 1960 May 1.12 #> 6 1960 Jun 1.01 #> 7 1960 Jul 0.966 #> 8 1960 Aug 0.977 #> 9 1960 Sep 1.03 #> 10 1960 Oct 1.25 #> # ℹ 532 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3-package.html","id":null,"dir":"Reference","previous_headings":"","what":"fpp3: Data for ","title":"fpp3: Data for ","text":"data sets required examples exercises book \"Forecasting: principles practice\" Rob J Hyndman George Athanasopoulos https://OTexts.com/fpp3/. packages required run examples also loaded. Additional data sets used book also included.","code":""},{"path":[]},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"fpp3: Data for ","text":"Maintainer: Rob Hyndman Rob.Hyndman@monash.edu (ORCID) [copyright holder] contributors: George Athanasopoulos [contributor] Mitchell O'Hara-Wild [contributor] Nuwani Palihawadana [contributor] Shanika Wickramasuriya [contributor] RStudio [copyright holder]","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":null,"dir":"Reference","previous_headings":"","what":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"function lists conflicts packages fpp3 collection packages loaded.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"","code":"fpp3_conflicts()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"list object class fpp3_conflicts.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"conflicts deliberately ignored: intersect, union, setequal, setdiff dplyr; intersect, union, setdiff, .difftime lubridate. functions make base equivalents generic, negatively affect existing code.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"","code":"fpp3_conflicts() #> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ── #> ✖ lubridate::date() masks base::date() #> ✖ dplyr::filter() masks stats::filter() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ dplyr::lag() masks stats::lag() #> ✖ tsibble::setdiff() masks base::setdiff() #> ✖ tsibble::union() masks base::union()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":null,"dir":"Reference","previous_headings":"","what":"List all packages loaded by fpp3 — fpp3_packages","title":"List all packages loaded by fpp3 — fpp3_packages","text":"List packages loaded fpp3","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List all packages loaded by fpp3 — fpp3_packages","text":"","code":"fpp3_packages(include_self = FALSE)"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List all packages loaded by fpp3 — fpp3_packages","text":"include_self Include fpp3 list?","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List all packages loaded by fpp3 — fpp3_packages","text":"character vector package names.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List all packages loaded by fpp3 — fpp3_packages","text":"","code":"fpp3_packages() #> [1] \"cli\" \"crayon\" \"dplyr\" \"fable\" \"fabletools\" #> [6] \"feasts\" \"ggplot2\" \"lubridate\" \"purrr\" \"rstudioapi\" #> [11] \"tibble\" \"tidyr\" \"tsibble\" \"tsibbledata\""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":null,"dir":"Reference","previous_headings":"","what":"Rice production (Guinea) — guinea_rice","title":"Rice production (Guinea) — guinea_rice","text":"Total annual rice production (million metric tons) Guinea. 1970-2011.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Rice production (Guinea) — guinea_rice","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Rice production (Guinea) — guinea_rice","text":"World Bank.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rice production (Guinea) — guinea_rice","text":"","code":"guinea_rice #> # A tsibble: 42 x 2 [1Y] #> Year Production #> #> 1 1970 0.311 #> 2 1971 0.325 #> 3 1972 0.340 #> 4 1973 0.355 #> 5 1974 0.370 #> 6 1975 0.387 #> 7 1976 0.404 #> 8 1977 0.422 #> 9 1978 0.440 #> 10 1979 0.460 #> # ℹ 32 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":null,"dir":"Reference","previous_headings":"","what":"Insurance quotations and advertising expenditure — insurance","title":"Insurance quotations and advertising expenditure — insurance","text":"Monthly quotations monthly television advertising expenditure US insurance company. January 2002 April 2005","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Insurance quotations and advertising expenditure — insurance","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Insurance quotations and advertising expenditure — insurance","text":"Kindly provided Dave Reilly, Automatic Forecasting Systems.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Insurance quotations and advertising expenditure — insurance","text":"","code":"insurance |> ggplot(aes(x=TVadverts, y=Quotes)) + geom_point()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":null,"dir":"Reference","previous_headings":"","what":"Average daily total pedestrian count in Melbourne — melb_walkers","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Daily average total pedestrian count (across different sensors) thousands 2019-01-01 2024-05-29.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Melbourne Open Data Portal. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"","code":"autoplot(melb_walkers) #> Plot variable not specified, automatically selected `.vars = Count`"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly offences in NSW — nsw_offences","title":"Monthly offences in NSW — nsw_offences","text":"nsw_offences monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly offences in NSW — nsw_offences","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly offences in NSW — nsw_offences","text":"NSW Bureau Crime Statistics Research. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly offences in NSW — nsw_offences","text":"series uniquely identified using one key: covering period Apr 1995--Dec 2023.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly offences in NSW — nsw_offences","text":"","code":"nsw_offences #> # A tsibble: 7,308 x 3 [1M] #> # Key: Type [21] #> Month Type Count #> #> 1 1995 Jan Abduction and kidnapping 15 #> 2 1995 Feb Abduction and kidnapping 16 #> 3 1995 Mar Abduction and kidnapping 23 #> 4 1995 Apr Abduction and kidnapping 22 #> 5 1995 May Abduction and kidnapping 14 #> 6 1995 Jun Abduction and kidnapping 13 #> 7 1995 Jul Abduction and kidnapping 19 #> 8 1995 Aug Abduction and kidnapping 23 #> 9 1995 Sep Abduction and kidnapping 13 #> 10 1995 Oct Abduction and kidnapping 21 #> # ℹ 7,298 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":null,"dir":"Reference","previous_headings":"","what":"New York childcare data — ny_childcare","title":"New York childcare data — ny_childcare","text":"number employees (thousands) child day care services New York City period period January 1990 April 2024.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"New York childcare data — ny_childcare","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"New York childcare data — ny_childcare","text":"U.S. Bureau Labor Statistics Federal Reserve Bank St. Louis, Employees: Education Health Services: Child Care Services New York City, NY retrieved FRED, Federal Reserve Bank St. Louis; , 30 May 2024.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"New York childcare data — ny_childcare","text":"ny_childcare monthly `tsibble` two columns:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"New York childcare data — ny_childcare","text":"","code":"ny_childcare #> # A tsibble: 412 x 2 [1M] #> Month Count #> #> 1 1990 Jan 14.1 #> 2 1990 Feb 14.1 #> 3 1990 Mar 14.2 #> 4 1990 Apr 14 #> 5 1990 May 14 #> 6 1990 Jun 14 #> 7 1990 Jul 13.3 #> 8 1990 Aug 13.2 #> 9 1990 Sep 13.9 #> 10 1990 Oct 14.1 #> # ℹ 402 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":null,"dir":"Reference","previous_headings":"","what":"OTexts page views — otexts_views","title":"OTexts page views — otexts_views","text":"Daily page views OTexts website recorded Google analytics.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"OTexts page views — otexts_views","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"OTexts page views — otexts_views","text":"otexts_views daily `tsibble` two columns:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"OTexts page views — otexts_views","text":"","code":"otexts_views #> # A tsibble: 1,561 x 2 [1D] #> Date Pageviews #> #> 1 2018-01-01 2.13 #> 2 2018-01-02 4.07 #> 3 2018-01-03 6.27 #> 4 2018-01-04 5.96 #> 5 2018-01-05 6.34 #> 6 2018-01-06 4.13 #> 7 2018-01-07 3.70 #> 8 2018-01-08 5.92 #> 9 2018-01-09 7.38 #> 10 2018-01-10 7.81 #> # ℹ 1,551 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":null,"dir":"Reference","previous_headings":"","what":"Price series for various commodities — prices","title":"Price series for various commodities — prices","text":"Annual prices eggs, chicken, copper, nails, oil wheat. Eggs, chicken, nails, oil copper $US; wheat British pounds. prices adjusted inflation.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Price series for various commodities — prices","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Price series for various commodities — prices","text":"Makridakis, Wheelwright Hyndman (1998) *Forecasting: methods applications*, John Wiley & Sons: New York. Chapter 9.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Price series for various commodities — prices","text":"","code":"prices |> autoplot(wheat) #> Warning: Removed 1 row containing missing values or values outside the scale range #> (`geom_line()`)."},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":null,"dir":"Reference","previous_headings":"","what":"Sales for a souvenir shop — souvenirs","title":"Sales for a souvenir shop — souvenirs","text":"Monthly sales souvenir shop wharf beach resort town Queensland, Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Sales for a souvenir shop — souvenirs","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Sales for a souvenir shop — souvenirs","text":"Makridakis, Wheelwright Hyndman (1998) *Forecasting: methods applications*, John Wiley & Sons: New York. Exercise 5.8.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sales for a souvenir shop — souvenirs","text":"","code":"souvenirs |> autoplot(Sales)"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":null,"dir":"Reference","previous_headings":"","what":"Percentage changes in economic variables in the USA. — us_change","title":"Percentage changes in economic variables in the USA. — us_change","text":"us_change quarterly `tsibble` containing percentage changes quarterly personal consumption expenditure, personal disposable income, production, savings unemployment rate US, 1970 2016. Original $ values chained 2012 US dollars.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Percentage changes in economic variables in the USA. — us_change","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Percentage changes in economic variables in the USA. — us_change","text":"Federal Reserve Bank St Louis.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Percentage changes in economic variables in the USA. — us_change","text":"","code":"us_change #> # A tsibble: 198 x 6 [1Q] #> Quarter Consumption Income Production Savings Unemployment #> #> 1 1970 Q1 0.619 1.04 -2.45 5.30 0.9 #> 2 1970 Q2 0.452 1.23 -0.551 7.79 0.5 #> 3 1970 Q3 0.873 1.59 -0.359 7.40 0.5 #> 4 1970 Q4 -0.272 -0.240 -2.19 1.17 0.700 #> 5 1971 Q1 1.90 1.98 1.91 3.54 -0.100 #> 6 1971 Q2 0.915 1.45 0.902 5.87 -0.100 #> 7 1971 Q3 0.794 0.521 0.308 -0.406 0.100 #> 8 1971 Q4 1.65 1.16 2.29 -1.49 0 #> 9 1972 Q1 1.31 0.457 4.15 -4.29 -0.200 #> 10 1972 Q2 1.89 1.03 1.89 -4.69 -0.100 #> # ℹ 188 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":null,"dir":"Reference","previous_headings":"","what":"US monthly employment data — us_employment","title":"US monthly employment data — us_employment","text":"us_employment monthly `tsibble` containing US employment data January 1939 June 2019. `Series_ID` represents different sectors economy.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"US monthly employment data — us_employment","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"US monthly employment data — us_employment","text":"U.S. Bureau Labor Statistics","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"US monthly employment data — us_employment","text":"","code":"us_employment #> # A tsibble: 143,412 x 4 [1M] #> # Key: Series_ID [148] #> Month Series_ID Title Employed #> #> 1 1939 Jan CEU0500000001 Total Private 25338 #> 2 1939 Feb CEU0500000001 Total Private 25447 #> 3 1939 Mar CEU0500000001 Total Private 25833 #> 4 1939 Apr CEU0500000001 Total Private 25801 #> 5 1939 May CEU0500000001 Total Private 26113 #> 6 1939 Jun CEU0500000001 Total Private 26485 #> 7 1939 Jul CEU0500000001 Total Private 26481 #> 8 1939 Aug CEU0500000001 Total Private 26848 #> 9 1939 Sep CEU0500000001 Total Private 27468 #> 10 1939 Oct CEU0500000001 Total Private 27830 #> # ℹ 143,402 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":null,"dir":"Reference","previous_headings":"","what":"US finished motor gasoline product supplied. — us_gasoline","title":"US finished motor gasoline product supplied. — us_gasoline","text":"Weekly data beginning Week 6, 1991, ending Week 3, 2017. Units \"million barrels per day\".","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"US finished motor gasoline product supplied. — us_gasoline","text":"Time series object class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"US finished motor gasoline product supplied. — us_gasoline","text":"US Energy Information Administration.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"US finished motor gasoline product supplied. — us_gasoline","text":"","code":"us_gasoline #> # A tsibble: 1,355 x 2 [1W] #> Week Barrels #> #> 1 1991 W06 6.62 #> 2 1991 W07 6.43 #> 3 1991 W08 6.58 #> 4 1991 W09 7.22 #> 5 1991 W10 6.88 #> 6 1991 W11 6.95 #> 7 1991 W12 7.33 #> 8 1991 W13 6.78 #> 9 1991 W14 7.50 #> 10 1991 W15 6.92 #> # ℹ 1,345 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-development-version","dir":"Changelog","previous_headings":"","what":"fpp3 (development version)","title":"fpp3 (development version)","text":"aus_births aus_fertility aus_inbound aus_mortality aus_migration aus_outbound aus_tobacco aus_vehicle_sales melb_walkers nsw_offences ny_childcare otexts_views","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-03","dir":"Changelog","previous_headings":"","what":"fpp3 0.3","title":"fpp3 0.3","text":"CRAN release: 2020-06-07 Updated objects work tsibble v0.9.0 Added series titles us_employment","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-02","dir":"Changelog","previous_headings":"","what":"fpp3 0.2","title":"fpp3 0.2","text":"CRAN release: 2020-03-15 Added aus_arrivals data set.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-01","dir":"Changelog","previous_headings":"","what":"fpp3 0.1","title":"fpp3 0.1","text":"CRAN release: 2019-10-09 Initial version based tidyverse package Hadley Wickham. data ported fpp2. New data sets include us_employment.","code":""}] +[{"path":"https://pkg.robjhyndman.com/fpp3package/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Rob Hyndman. Author, maintainer, copyright holder. George Athanasopoulos. Contributor. Mitchell O'Hara-Wild. Contributor. Nuwani Palihawadana. Contributor. Shanika Wickramasuriya. Contributor. RStudio. Copyright holder.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Hyndman R (2024). fpp3: Data \"Forecasting: Principles Practice\" (3rd Edition). R package version 1.0.0, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/, https://pkg.robjhyndman.com/fpp3package/.","code":"@Manual{, title = {fpp3: Data for \"Forecasting: Principles and Practice\" (3rd Edition)}, author = {Rob Hyndman}, year = {2024}, note = {R package version 1.0.0, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/}, url = {https://pkg.robjhyndman.com/fpp3package/}, }"},{"path":[]},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Data for ","text":"fpp3 package contains data used book Forecasting: Principles Practice (3rd edition) Rob J Hyndman George Athanasopoulos. also loads several packages needed analysis described book. packages work tidyverse set packages, sharing common data representations API design. Additional data sets used book also included.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Data for ","text":"can install stable version CRAN. can install development version Github","code":"install.packages('fpp3', dependencies = TRUE) # install.packages(\"remotes\") remotes::install_github(\"robjhyndman/fpp3package\")"},{"path":"https://pkg.robjhyndman.com/fpp3package/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Data for ","text":"library(fpp3) load following packages: tibble, tibbles, modern re-imagining data frames. dplyr, data manipulation. tidyr, easily tidy data using spread() gather(). lubridate, date/times. ggplot2, data visualisation. tsibble, tsibbles, time series version tibble. tsibbledata, various time series data sets form tsibbles. feasts, features statistics time series. fable, fitting models producing forecasts. also get condensed summary conflicts packages loaded:","code":"library(fpp3) #> ── Attaching packages ─────────────────────────────────────── fpp3 0.5.0.9000 ── #> ✔ tibble 3.2.1 ✔ tsibble 1.1.4 #> ✔ dplyr 1.1.4 ✔ tsibbledata 0.4.1 #> ✔ tidyr 1.3.1 ✔ feasts 0.3.2 #> ✔ lubridate 1.9.3 ✔ fable 0.3.4 #> ✔ ggplot2 3.5.1 ✔ fabletools 0.4.2 #> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ── #> ✖ lubridate::date() masks base::date() #> ✖ dplyr::filter() masks stats::filter() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ dplyr::lag() masks stats::lag() #> ✖ tsibble::setdiff() masks base::setdiff() #> ✖ tsibble::union() masks base::union()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian accommodation data — aus_accommodation","title":"Australian accommodation data — aus_accommodation","text":"aus_accommodation quarterly `tsibble` containing data Australian tourist accommodation short-term non-residential accommodation 15 rooms, 1998 Q1 - 2016 Q2. data set also contains Australian Consumer Price Index (CPI) period. Takings millions Australian dollars, Occupancy percentage rooms occupied, CPI index value 100 2012 Q1.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian accommodation data — aus_accommodation","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian accommodation data — aus_accommodation","text":"Australian Bureau Statistics, Cat 8635.0, Table 10, Cat 6401.0, Table 1.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_accommodation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian accommodation data — aus_accommodation","text":"","code":"aus_accommodation #> # A tsibble: 592 x 5 [1Q] #> # Key: State [8] #> Date State Takings Occupancy CPI #> #> 1 1998 Q1 Australian Capital Territory 24.3 65 67 #> 2 1998 Q2 Australian Capital Territory 22.3 59 67.4 #> 3 1998 Q3 Australian Capital Territory 22.5 58 67.5 #> 4 1998 Q4 Australian Capital Territory 24.4 59 67.8 #> 5 1999 Q1 Australian Capital Territory 23.7 58 67.8 #> 6 1999 Q2 Australian Capital Territory 25.4 61 68.1 #> 7 1999 Q3 Australian Capital Territory 28.2 66 68.7 #> 8 1999 Q4 Australian Capital Territory 25.8 60 69.1 #> 9 2000 Q1 Australian Capital Territory 27.3 60.9 69.7 #> 10 2000 Q2 Australian Capital Territory 30.1 64.7 70.2 #> # ℹ 582 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":null,"dir":"Reference","previous_headings":"","what":"Air Transport Passengers Australia — aus_airpassengers","title":"Air Transport Passengers Australia — aus_airpassengers","text":"Total annual air passengers (millions) including domestic international aircraft passengers air carriers registered Australia. 1970-2016.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Air Transport Passengers Australia — aus_airpassengers","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Air Transport Passengers Australia — aus_airpassengers","text":"World Bank.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_airpassengers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Air Transport Passengers Australia — aus_airpassengers","text":"","code":"aus_airpassengers #> # A tsibble: 47 x 2 [1Y] #> Year Passengers #> #> 1 1970 7.32 #> 2 1971 7.33 #> 3 1972 7.80 #> 4 1973 9.38 #> 5 1974 10.7 #> 6 1975 11.1 #> 7 1976 10.9 #> 8 1977 11.3 #> 9 1978 12.1 #> 10 1979 13.0 #> # ℹ 37 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":null,"dir":"Reference","previous_headings":"","what":"International Arrivals to Australia — aus_arrivals","title":"International Arrivals to Australia — aus_arrivals","text":"Quarterly international arrivals Australia Japan, New Zealand, UK US. 1981Q1 - 2012Q3.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"International Arrivals to Australia — aus_arrivals","text":"Quarterly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"International Arrivals to Australia — aus_arrivals","text":"Tourism Research Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_arrivals.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"International Arrivals to Australia — aus_arrivals","text":"","code":"aus_arrivals #> # A tsibble: 508 x 3 [1Q] #> # Key: Origin [4] #> Quarter Origin Arrivals #> #> 1 1981 Q1 Japan 14763 #> 2 1981 Q2 Japan 9321 #> 3 1981 Q3 Japan 10166 #> 4 1981 Q4 Japan 19509 #> 5 1982 Q1 Japan 17117 #> 6 1982 Q2 Japan 10617 #> 7 1982 Q3 Japan 11737 #> 8 1982 Q4 Japan 20961 #> 9 1983 Q1 Japan 20671 #> 10 1983 Q2 Japan 12235 #> # ℹ 498 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian births data — aus_births","title":"Australian births data — aus_births","text":"Number births Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian births data — aus_births","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian births data — aus_births","text":"Australian Bureau Statistics. https://www.abs.gov.au/statistics/people/population/births-australia/2022","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian births data — aus_births","text":"aus_births monthly `tsibble` one measured variable: January 1975 December 2021 6 states 2 territories Australia, indexed : #' series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_births.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian births data — aus_births","text":"","code":"aus_births #> # A tsibble: 4,512 x 3 [1M] #> # Key: State [8] #> State Month Births #> #> 1 ACT 1975 Jan 320 #> 2 ACT 1975 Feb 333 #> 3 ACT 1975 Mar 342 #> 4 ACT 1975 Apr 348 #> 5 ACT 1975 May 336 #> 6 ACT 1975 Jun 374 #> 7 ACT 1975 Jul 372 #> 8 ACT 1975 Aug 354 #> 9 ACT 1975 Sep 361 #> 10 ACT 1975 Oct 337 #> # ℹ 4,502 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian women fertility rate — aus_fertility","title":"Australian women fertility rate — aus_fertility","text":"aus_fertility yearly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian women fertility rate — aus_fertility","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian women fertility rate — aus_fertility","text":"Australian Bureau Statistics. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian women fertility rate — aus_fertility","text":"series uniquely identified using two keys: based calendar year registration data. covers period 1975--2022.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_fertility.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian women fertility rate — aus_fertility","text":"","code":"aus_fertility #> # A tsibble: 15,120 x 4 [1Y] #> # Key: Age, Region [315] #> Year Region Age Rate #> #> 1 1975 Australia 15 7 #> 2 1976 Australia 15 6.6 #> 3 1977 Australia 15 5.7 #> 4 1978 Australia 15 5.5 #> 5 1979 Australia 15 5.1 #> 6 1980 Australia 15 4.8 #> 7 1981 Australia 15 4.8 #> 8 1982 Australia 15 4.7 #> 9 1983 Australia 15 4.9 #> 10 1984 Australia 15 3.8 #> # ℹ 15,110 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"aus_inbound monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"Tourism Research Australia","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"series uniquely identified using two keys: covering period Jan 2005--Feb 2020.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_inbound.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly short term (<1 year) visitor arrivals to Australia — aus_inbound","text":"","code":"aus_inbound #> # A tsibble: 20,748 x 4 [1M] #> # Key: Country, Purpose [114] #> Month Country Purpose Count #> #> 1 2005 Jan Canada Business 0.924 #> 2 2005 Feb Canada Business 1.04 #> 3 2005 Mar Canada Business 1.30 #> 4 2005 Apr Canada Business 1.29 #> 5 2005 May Canada Business 1.12 #> 6 2005 Jun Canada Business 0.813 #> 7 2005 Jul Canada Business 0.881 #> 8 2005 Aug Canada Business 1.45 #> 9 2005 Sep Canada Business 1.24 #> 10 2005 Oct Canada Business 1.24 #> # ℹ 20,738 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian migration data — aus_migration","title":"Australian migration data — aus_migration","text":"Net Overseas Migration (NOM) Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian migration data — aus_migration","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian migration data — aus_migration","text":"Australian Bureau Statistics. . Cat . 310102.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian migration data — aus_migration","text":"aus_migration quarterly `tsibble` one measured variable: 1981 Q2 2023 Q3 6 states 2 territories Australia, indexed : NOM based international traveller's duration stay Australia 12 months , 16 month period. series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_migration.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian migration data — aus_migration","text":"","code":"aus_migration #> # A tsibble: 1,360 x 3 [1Q] #> # Key: State [8] #> Quarter State NOM #> #> 1 1981 Q2 ACT -131 #> 2 1981 Q3 ACT 152 #> 3 1981 Q4 ACT 383 #> 4 1982 Q1 ACT 419 #> 5 1982 Q2 ACT 271 #> 6 1982 Q3 ACT 80 #> 7 1982 Q4 ACT 209 #> 8 1983 Q1 ACT 283 #> 9 1983 Q2 ACT -31 #> 10 1983 Q3 ACT 199 #> # ℹ 1,350 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian mortality data — aus_mortality","title":"Australian mortality data — aus_mortality","text":"Weekly death counts mortality rates Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian mortality data — aus_mortality","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian mortality data — aus_mortality","text":"https://mortality.org/Data/STMF (Downloaded 29 May 2024)","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian mortality data — aus_mortality","text":"aus_mortality weekly `tsibble` two measured variables: 2015 week 01 2023 week 12 five different age groups plus total, categorised sex. series uniquely identified using three keys: mortality rate defined number deaths per thousand people Australia week.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_mortality.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian mortality data — aus_mortality","text":"","code":"aus_mortality #> # A tsibble: 7,740 x 5 [1W] #> # Key: Sex, Age [18] #> Week Sex Age Deaths Mortality #> #> 1 2015 W01 Both 0-14 31.1 0.000360 #> 2 2015 W02 Both 0-14 29.0 0.000334 #> 3 2015 W03 Both 0-14 27.5 0.000318 #> 4 2015 W04 Both 0-14 27.8 0.000321 #> 5 2015 W05 Both 0-14 26.0 0.000300 #> 6 2015 W06 Both 0-14 28.5 0.000330 #> 7 2015 W07 Both 0-14 29.4 0.000339 #> 8 2015 W08 Both 0-14 31.2 0.000361 #> 9 2015 W09 Both 0-14 27.9 0.000322 #> 10 2015 W10 Both 0-14 29.0 0.000334 #> # ℹ 7,730 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"aus_outbound monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"Tourism Research Australia","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"series uniquely identified using two keys: covering period Jan 2005--Jun 2017.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_outbound.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly short term (<1 year) resident departures in Australia — aus_outbound","text":"","code":"aus_outbound #> # A tsibble: 11,700 x 4 [1M] #> # Key: Country, Purpose [78] #> Month Country Purpose Count #> #> 1 2005 Jan China (excl SARs and Taiwan province) Business 5.75 #> 2 2005 Feb China (excl SARs and Taiwan province) Business 4.48 #> 3 2005 Mar China (excl SARs and Taiwan province) Business 7.05 #> 4 2005 Apr China (excl SARs and Taiwan province) Business 9.84 #> 5 2005 May China (excl SARs and Taiwan province) Business 6.05 #> 6 2005 Jun China (excl SARs and Taiwan province) Business 7.11 #> 7 2005 Jul China (excl SARs and Taiwan province) Business 6.56 #> 8 2005 Aug China (excl SARs and Taiwan province) Business 8.35 #> 9 2005 Sep China (excl SARs and Taiwan province) Business 7.97 #> 10 2005 Oct China (excl SARs and Taiwan province) Business 8.68 #> # ℹ 11,690 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian cigarette and tobacco expenditure — aus_tobacco","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"total household expenditure cigarette tobacco consumption (CTC) Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"Australian Bureau Statistics. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"aus_tobacco quarterly `tsibble` one value: 1985 Q3 2023 Q4 6 states 2 territories Australia, indexed : prices represented chain volume measure (representation constant prices) billions dollars. series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_tobacco.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian cigarette and tobacco expenditure — aus_tobacco","text":"","code":"aus_tobacco |> autoplot(Expenditure) + scale_y_log10()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":null,"dir":"Reference","previous_headings":"","what":"Australian vehicle sales — aus_vehicle_sales","title":"Australian vehicle sales — aus_vehicle_sales","text":"number new motor vehicles sold Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Australian vehicle sales — aus_vehicle_sales","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Australian vehicle sales — aus_vehicle_sales","text":"Australian Bureau Statistics. . Cat . 931401.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Australian vehicle sales — aus_vehicle_sales","text":"aus_vehicle_sales monthly `tsibble` one measured variable: January 1994 December 2017 Australia, indexed : series uniquely identified using key:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/aus_vehicle_sales.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Australian vehicle sales — aus_vehicle_sales","text":"","code":"aus_vehicle_sales #> # A tsibble: 864 x 3 [1M] #> # Key: Type [3] #> Month Type Count #> #> 1 1994 Jan Other 5.46 #> 2 1994 Feb Other 7.42 #> 3 1994 Mar Other 10.3 #> 4 1994 Apr Other 8.02 #> 5 1994 May Other 10.2 #> 6 1994 Jun Other 15.8 #> 7 1994 Jul Other 7.36 #> 8 1994 Aug Other 8.40 #> 9 1994 Sep Other 8.13 #> 10 1994 Oct Other 9.17 #> # ℹ 854 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":null,"dir":"Reference","previous_headings":"","what":"Call volume for a large North American commercial bank — bank_calls","title":"Call volume for a large North American commercial bank — bank_calls","text":"Five-minute call volume handled weekdays 7:00am 9:05pm, beginning 3 March 24 October 2003 (164 days).","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Call volume for a large North American commercial bank — bank_calls","text":"Time series class `tsibble` 5 minute intervals.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Call volume for a large North American commercial bank — bank_calls","text":"Jonathan Weinberg","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Call volume for a large North American commercial bank — bank_calls","text":"Weinberg, Brown & Stroud (2007) \"Bayesian forecasting inhomogeneous Poisson process applications call center data\" Journal American Statistical Associiation, 102:480, 1185-1198.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/bank_calls.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Call volume for a large North American commercial bank — bank_calls","text":"","code":"bank_calls #> # A tsibble: 27,716 x 2 [5m] #> DateTime Calls #> #> 1 2003-03-03 07:00:00 111 #> 2 2003-03-03 07:05:00 113 #> 3 2003-03-03 07:10:00 76 #> 4 2003-03-03 07:15:00 82 #> 5 2003-03-03 07:20:00 91 #> 6 2003-03-03 07:25:00 87 #> 7 2003-03-03 07:30:00 75 #> 8 2003-03-03 07:35:00 89 #> 9 2003-03-03 07:40:00 99 #> 10 2003-03-03 07:45:00 125 #> # ℹ 27,706 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":null,"dir":"Reference","previous_headings":"","what":"Boston marathon winning times since 1897 — boston_marathon","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Winning times events Boston Marathon. 1897-2019.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Boston marathon winning times since 1897 — boston_marathon","text":"Boston Athletic Association. https://www.baa.org/races/boston-marathon/results/champions","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/boston_marathon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Boston marathon winning times since 1897 — boston_marathon","text":"","code":"boston_marathon #> # A tsibble: 265 x 5 [1Y] #> # Key: Event [5] #> Event Year Champion Country Time #> #> 1 Men's open division 1897 John J. McDermott United States 10510 secs #> 2 Men's open division 1898 Ronald J. MacDonald Canada 9720 secs #> 3 Men's open division 1899 Lawrence Brignolia United States 10478 secs #> 4 Men's open division 1900 John P. Caffery Canada 9584 secs #> 5 Men's open division 1901 John P. Caffery Canada 8963 secs #> 6 Men's open division 1902 Sammy A. Mellor United States 9792 secs #> 7 Men's open division 1903 John C. Lorden United States 9689 secs #> 8 Men's open division 1904 Michael Spring United States 9484 secs #> 9 Men's open division 1905 Frederick Lorz United States 9505 secs #> 10 Men's open division 1906 Timothy Ford United States 9945 secs #> # ℹ 255 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly Canadian gas production — canadian_gas","title":"Monthly Canadian gas production — canadian_gas","text":"Monthly Canadian gas production, billions cubic metres, January 1960 - February 2005","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly Canadian gas production — canadian_gas","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly Canadian gas production — canadian_gas","text":"Hyndman, R.J., Koehler, .B., Ord, J.K., Snyder, R.D., (2008) Forecasting exponential smoothing: state space approach, Springer.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Monthly Canadian gas production — canadian_gas","text":"http://www.exponentialsmoothing.net","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/canadian_gas.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly Canadian gas production — canadian_gas","text":"","code":"canadian_gas #> # A tsibble: 542 x 2 [1M] #> Month Volume #> #> 1 1960 Jan 1.43 #> 2 1960 Feb 1.31 #> 3 1960 Mar 1.40 #> 4 1960 Apr 1.17 #> 5 1960 May 1.12 #> 6 1960 Jun 1.01 #> 7 1960 Jul 0.966 #> 8 1960 Aug 0.977 #> 9 1960 Sep 1.03 #> 10 1960 Oct 1.25 #> # ℹ 532 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3-package.html","id":null,"dir":"Reference","previous_headings":"","what":"fpp3: Data for ","title":"fpp3: Data for ","text":"data sets required examples exercises book \"Forecasting: principles practice\" Rob J Hyndman George Athanasopoulos https://OTexts.com/fpp3/. packages required run examples also loaded. Additional data sets used book also included.","code":""},{"path":[]},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"fpp3: Data for ","text":"Maintainer: Rob Hyndman Rob.Hyndman@monash.edu (ORCID) [copyright holder] contributors: George Athanasopoulos [contributor] Mitchell O'Hara-Wild [contributor] Nuwani Palihawadana [contributor] Shanika Wickramasuriya [contributor] RStudio [copyright holder]","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":null,"dir":"Reference","previous_headings":"","what":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"function lists conflicts packages fpp3 collection packages loaded.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"","code":"fpp3_conflicts()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"list object class fpp3_conflicts.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"conflicts deliberately ignored: intersect, union, setequal, setdiff dplyr; intersect, union, setdiff, .difftime lubridate. functions make base equivalents generic, negatively affect existing code.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_conflicts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Conflicts between fpp3 packages and other packages — fpp3_conflicts","text":"","code":"fpp3_conflicts() #> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ── #> ✖ lubridate::date() masks base::date() #> ✖ dplyr::filter() masks stats::filter() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ dplyr::lag() masks stats::lag() #> ✖ tsibble::setdiff() masks base::setdiff() #> ✖ tsibble::union() masks base::union()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":null,"dir":"Reference","previous_headings":"","what":"List all packages loaded by fpp3 — fpp3_packages","title":"List all packages loaded by fpp3 — fpp3_packages","text":"List packages loaded fpp3","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List all packages loaded by fpp3 — fpp3_packages","text":"","code":"fpp3_packages(include_self = FALSE)"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List all packages loaded by fpp3 — fpp3_packages","text":"include_self Include fpp3 list?","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List all packages loaded by fpp3 — fpp3_packages","text":"character vector package names.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/fpp3_packages.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List all packages loaded by fpp3 — fpp3_packages","text":"","code":"fpp3_packages() #> [1] \"cli\" \"crayon\" \"dplyr\" \"fable\" \"fabletools\" #> [6] \"feasts\" \"ggplot2\" \"lubridate\" \"purrr\" \"rstudioapi\" #> [11] \"tibble\" \"tidyr\" \"tsibble\" \"tsibbledata\""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":null,"dir":"Reference","previous_headings":"","what":"Rice production (Guinea) — guinea_rice","title":"Rice production (Guinea) — guinea_rice","text":"Total annual rice production (million metric tons) Guinea. 1970-2011.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Rice production (Guinea) — guinea_rice","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Rice production (Guinea) — guinea_rice","text":"World Bank.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/guinea_rice.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rice production (Guinea) — guinea_rice","text":"","code":"guinea_rice #> # A tsibble: 42 x 2 [1Y] #> Year Production #> #> 1 1970 0.311 #> 2 1971 0.325 #> 3 1972 0.340 #> 4 1973 0.355 #> 5 1974 0.370 #> 6 1975 0.387 #> 7 1976 0.404 #> 8 1977 0.422 #> 9 1978 0.440 #> 10 1979 0.460 #> # ℹ 32 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":null,"dir":"Reference","previous_headings":"","what":"Insurance quotations and advertising expenditure — insurance","title":"Insurance quotations and advertising expenditure — insurance","text":"Monthly quotations monthly television advertising expenditure US insurance company. January 2002 April 2005","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Insurance quotations and advertising expenditure — insurance","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Insurance quotations and advertising expenditure — insurance","text":"Kindly provided Dave Reilly, Automatic Forecasting Systems.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/insurance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Insurance quotations and advertising expenditure — insurance","text":"","code":"insurance |> ggplot(aes(x=TVadverts, y=Quotes)) + geom_point()"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":null,"dir":"Reference","previous_headings":"","what":"Average daily total pedestrian count in Melbourne — melb_walkers","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Daily average total pedestrian count (across different sensors) thousands 2019-01-01 2024-05-29.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"Melbourne Open Data Portal. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/melb_walkers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Average daily total pedestrian count in Melbourne — melb_walkers","text":"","code":"autoplot(melb_walkers) #> Plot variable not specified, automatically selected `.vars = Count`"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":null,"dir":"Reference","previous_headings":"","what":"Monthly offences in NSW — nsw_offences","title":"Monthly offences in NSW — nsw_offences","text":"nsw_offences monthly `tsibble` one measured variable:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Monthly offences in NSW — nsw_offences","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Monthly offences in NSW — nsw_offences","text":"NSW Bureau Crime Statistics Research. ","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Monthly offences in NSW — nsw_offences","text":"series uniquely identified using one key: covering period Apr 1995--Dec 2023.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/nsw_offences.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Monthly offences in NSW — nsw_offences","text":"","code":"nsw_offences #> # A tsibble: 7,308 x 3 [1M] #> # Key: Type [21] #> Month Type Count #> #> 1 1995 Jan Abduction and kidnapping 15 #> 2 1995 Feb Abduction and kidnapping 16 #> 3 1995 Mar Abduction and kidnapping 23 #> 4 1995 Apr Abduction and kidnapping 22 #> 5 1995 May Abduction and kidnapping 14 #> 6 1995 Jun Abduction and kidnapping 13 #> 7 1995 Jul Abduction and kidnapping 19 #> 8 1995 Aug Abduction and kidnapping 23 #> 9 1995 Sep Abduction and kidnapping 13 #> 10 1995 Oct Abduction and kidnapping 21 #> # ℹ 7,298 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":null,"dir":"Reference","previous_headings":"","what":"New York childcare data — ny_childcare","title":"New York childcare data — ny_childcare","text":"number employees (thousands) child day care services New York City period period January 1990 April 2024.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"New York childcare data — ny_childcare","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"New York childcare data — ny_childcare","text":"U.S. Bureau Labor Statistics Federal Reserve Bank St. Louis, Employees: Education Health Services: Child Care Services New York City, NY retrieved FRED, Federal Reserve Bank St. Louis; , 30 May 2024.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"New York childcare data — ny_childcare","text":"ny_childcare monthly `tsibble` two columns:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/ny_childcare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"New York childcare data — ny_childcare","text":"","code":"ny_childcare #> # A tsibble: 412 x 2 [1M] #> Month Count #> #> 1 1990 Jan 14.1 #> 2 1990 Feb 14.1 #> 3 1990 Mar 14.2 #> 4 1990 Apr 14 #> 5 1990 May 14 #> 6 1990 Jun 14 #> 7 1990 Jul 13.3 #> 8 1990 Aug 13.2 #> 9 1990 Sep 13.9 #> 10 1990 Oct 14.1 #> # ℹ 402 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":null,"dir":"Reference","previous_headings":"","what":"OTexts page views — otexts_views","title":"OTexts page views — otexts_views","text":"Daily page views OTexts website recorded Google analytics.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"OTexts page views — otexts_views","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"OTexts page views — otexts_views","text":"otexts_views daily `tsibble` two columns:","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/otexts_views.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"OTexts page views — otexts_views","text":"","code":"otexts_views #> # A tsibble: 1,561 x 2 [1D] #> Date Pageviews #> #> 1 2018-01-01 2.13 #> 2 2018-01-02 4.07 #> 3 2018-01-03 6.27 #> 4 2018-01-04 5.96 #> 5 2018-01-05 6.34 #> 6 2018-01-06 4.13 #> 7 2018-01-07 3.70 #> 8 2018-01-08 5.92 #> 9 2018-01-09 7.38 #> 10 2018-01-10 7.81 #> # ℹ 1,551 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":null,"dir":"Reference","previous_headings":"","what":"Price series for various commodities — prices","title":"Price series for various commodities — prices","text":"Annual prices eggs, chicken, copper, nails, oil wheat. Eggs, chicken, nails, oil copper $US; wheat British pounds. prices adjusted inflation.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Price series for various commodities — prices","text":"Annual time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Price series for various commodities — prices","text":"Makridakis, Wheelwright Hyndman (1998) *Forecasting: methods applications*, John Wiley & Sons: New York. Chapter 9.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/prices.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Price series for various commodities — prices","text":"","code":"prices |> autoplot(wheat) #> Warning: Removed 1 row containing missing values or values outside the scale range #> (`geom_line()`)."},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":null,"dir":"Reference","previous_headings":"","what":"Sales for a souvenir shop — souvenirs","title":"Sales for a souvenir shop — souvenirs","text":"Monthly sales souvenir shop wharf beach resort town Queensland, Australia.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Sales for a souvenir shop — souvenirs","text":"Monthly time series class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Sales for a souvenir shop — souvenirs","text":"Makridakis, Wheelwright Hyndman (1998) *Forecasting: methods applications*, John Wiley & Sons: New York. Exercise 5.8.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/souvenirs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sales for a souvenir shop — souvenirs","text":"","code":"souvenirs |> autoplot(Sales)"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":null,"dir":"Reference","previous_headings":"","what":"Percentage changes in economic variables in the USA. — us_change","title":"Percentage changes in economic variables in the USA. — us_change","text":"us_change quarterly `tsibble` containing percentage changes quarterly personal consumption expenditure, personal disposable income, production, savings unemployment rate US, 1970 2016. Original $ values chained 2012 US dollars.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Percentage changes in economic variables in the USA. — us_change","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Percentage changes in economic variables in the USA. — us_change","text":"Federal Reserve Bank St Louis.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_change.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Percentage changes in economic variables in the USA. — us_change","text":"","code":"us_change #> # A tsibble: 198 x 6 [1Q] #> Quarter Consumption Income Production Savings Unemployment #> #> 1 1970 Q1 0.619 1.04 -2.45 5.30 0.9 #> 2 1970 Q2 0.452 1.23 -0.551 7.79 0.5 #> 3 1970 Q3 0.873 1.59 -0.359 7.40 0.5 #> 4 1970 Q4 -0.272 -0.240 -2.19 1.17 0.700 #> 5 1971 Q1 1.90 1.98 1.91 3.54 -0.100 #> 6 1971 Q2 0.915 1.45 0.902 5.87 -0.100 #> 7 1971 Q3 0.794 0.521 0.308 -0.406 0.100 #> 8 1971 Q4 1.65 1.16 2.29 -1.49 0 #> 9 1972 Q1 1.31 0.457 4.15 -4.29 -0.200 #> 10 1972 Q2 1.89 1.03 1.89 -4.69 -0.100 #> # ℹ 188 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":null,"dir":"Reference","previous_headings":"","what":"US monthly employment data — us_employment","title":"US monthly employment data — us_employment","text":"us_employment monthly `tsibble` containing US employment data January 1939 June 2019. `Series_ID` represents different sectors economy.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"US monthly employment data — us_employment","text":"Time series class `tsibble`","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"US monthly employment data — us_employment","text":"U.S. Bureau Labor Statistics","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_employment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"US monthly employment data — us_employment","text":"","code":"us_employment #> # A tsibble: 143,412 x 4 [1M] #> # Key: Series_ID [148] #> Month Series_ID Title Employed #> #> 1 1939 Jan CEU0500000001 Total Private 25338 #> 2 1939 Feb CEU0500000001 Total Private 25447 #> 3 1939 Mar CEU0500000001 Total Private 25833 #> 4 1939 Apr CEU0500000001 Total Private 25801 #> 5 1939 May CEU0500000001 Total Private 26113 #> 6 1939 Jun CEU0500000001 Total Private 26485 #> 7 1939 Jul CEU0500000001 Total Private 26481 #> 8 1939 Aug CEU0500000001 Total Private 26848 #> 9 1939 Sep CEU0500000001 Total Private 27468 #> 10 1939 Oct CEU0500000001 Total Private 27830 #> # ℹ 143,402 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":null,"dir":"Reference","previous_headings":"","what":"US finished motor gasoline product supplied. — us_gasoline","title":"US finished motor gasoline product supplied. — us_gasoline","text":"Weekly data beginning Week 6, 1991, ending Week 3, 2017. Units \"million barrels per day\".","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"US finished motor gasoline product supplied. — us_gasoline","text":"Time series object class `tsibble`.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"US finished motor gasoline product supplied. — us_gasoline","text":"US Energy Information Administration.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/reference/us_gasoline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"US finished motor gasoline product supplied. — us_gasoline","text":"","code":"us_gasoline #> # A tsibble: 1,355 x 2 [1W] #> Week Barrels #> #> 1 1991 W06 6.62 #> 2 1991 W07 6.43 #> 3 1991 W08 6.58 #> 4 1991 W09 7.22 #> 5 1991 W10 6.88 #> 6 1991 W11 6.95 #> 7 1991 W12 7.33 #> 8 1991 W13 6.78 #> 9 1991 W14 7.50 #> 10 1991 W15 6.92 #> # ℹ 1,345 more rows"},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-100","dir":"Changelog","previous_headings":"","what":"fpp3 1.0.0","title":"fpp3 1.0.0","text":"aus_births aus_fertility aus_inbound aus_mortality aus_migration aus_outbound aus_tobacco aus_vehicle_sales melb_walkers nsw_offences ny_childcare otexts_views","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-03","dir":"Changelog","previous_headings":"","what":"fpp3 0.3","title":"fpp3 0.3","text":"CRAN release: 2020-06-07 Updated objects work tsibble v0.9.0 Added series titles us_employment","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-02","dir":"Changelog","previous_headings":"","what":"fpp3 0.2","title":"fpp3 0.2","text":"CRAN release: 2020-03-15 Added aus_arrivals data set.","code":""},{"path":"https://pkg.robjhyndman.com/fpp3package/news/index.html","id":"fpp3-01","dir":"Changelog","previous_headings":"","what":"fpp3 0.1","title":"fpp3 0.1","text":"CRAN release: 2019-10-09 Initial version based tidyverse package Hadley Wickham. data ported fpp2. New data sets include us_employment.","code":""}]
Hyndman R (2024). fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition). -R package version 0.5.0.9000, +R package version 1.0.0, https://github.com/robjhyndman/fpp3package, https://OTexts.com/fpp3/, https://pkg.robjhyndman.com/fpp3package/.