removed data that were relocated to modeldata

DESCRIPTION

@@ -31,7 +31,8 @@ Suggests:
     recipes (>= 0.1.4),
     broom,
     xml2,
-    covr
+    covr,
+    modeldata
 URL: https://rsample.tidymodels.org, https://github.com/tidymodels/rsample
 BugReports: https://github.com/tidymodels/rsample/issues
 License: GPL-2

NEWS.md

@@ -2,6 +2,10 @@
 
 * Lower threshold for pooling strata to 10% (from 15%) (#149).
 
+* The `print()` methods for `rsplit` and `val_split` objects were adjusted to show `"<Analysis/Assess/Total>"` and `<Training/Validation/Total>`, respectively. 
+
+* The `drinks`, `attrition`, and `two_class_dat` data sets were removed. They are in the `modeldata` package. 
+
 * Compatability with `dplyr` 1.0.0.
 
 # `rsample` 0.0.6

R/data.R

@@ -9,18 +9,9 @@
 #'  fictional data set created by IBM data scientists.}. There
 #'  are 1470 rows.
 #'
-#' @name attrition
-#' @aliases attrition
-#' @docType data
-#' @return \item{attrition}{a data frame}
-#'
-#' @source The IBM Watson Analytics Lab website https://www.ibm.com/communities/analytics/watson-analytics-blog/hr-employee-attrition/
+#' These data are now in the `modeldata` package.
 #'
-#'
-#' @keywords datasets
-#' @examples
-#' data(attrition)
-#' str(attrition)
+#' @name attrition
 NULL
 
 
@@ -29,15 +20,9 @@ NULL
 #' @details There are artifical data with two predictors (`A` and `B`) and
 #'  a factor outcome variable (`Class`).
 #'
+#' These data are now in the `modeldata` package.
+#'
 #' @name two_class_dat
-#' @aliases two_class_dat
-#' @docType data
-#' @return \item{two_class_dat}{a data frame}
-#'
-#' @keywords datasets
-#' @examples
-#' data(two_class_dat)
-#' str(two_class_dat)
 NULL
 
 #' Sample Time Series Data
@@ -46,15 +31,6 @@ NULL
 #' "Merchant Wholesalers, Except Manufacturers' Sales Branches and Offices
 #' Sales: Nondurable Goods: Beer, Wine, and Distilled Alcoholic Beverages Sales"
 #'
+#' These data are now in the `modeldata` package.
 #' @name drinks
-#' @aliases drinks
-#' @docType data
-#' @return \item{drinks}{a data frame}
-#'
-#' @source The Federal Reserve Bank of St. Louis website https://fred.stlouisfed.org/series/S4248SM144NCEN
-#'
-#' @keywords datasets
-#' @examples
-#' data(drinks)
-#' str(drinks)
 NULL