From 9e04f9e509fdd839803a3a31286e37b85eb8f2af Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Thu, 22 Jan 2015 12:32:47 +0100 Subject: [PATCH 1/6] small changes in README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3d15f15..84f8b74 100755 --- a/README.md +++ b/README.md @@ -13,10 +13,10 @@ How to install The package now is available from CRAN by usual installing procedure. It can be also installed from sources, just [download](https://github.com/svkucheryavski/mdatools/releases) a source package archive from GitHub and install it using -the `install.packages` command, e.g. if the downloaded file is `mdatools_0.6.0.tar.gz` and it is located in a current working directory, just run the following: +the `install.packages` command, e.g. if the downloaded file is `mdatools_0.6.1.tar.gz` and it is located in a current working directory, just run the following: ``` -install.packages('mdatools_0.6.0.tar.gz') +install.packages('mdatools_0.6.1.tar.gz') ``` If you have `devtools` package installed, the following command will install the latest release from the GitHub (do not forget to load the `devtools` package first): From bf484ddad63893dec6020390b1a4e3ef47fbb088 Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Mon, 2 May 2016 13:38:50 +0200 Subject: [PATCH 2/6] fixing issues with filenames --- data/People.RData | Bin 1023 -> 0 bytes man/People.Rd | 40 ---------------------------------------- man/Simdata.Rd | 29 ----------------------------- 3 files changed, 69 deletions(-) delete mode 100755 data/People.RData delete mode 100755 man/People.Rd delete mode 100755 man/Simdata.Rd diff --git a/data/People.RData b/data/People.RData deleted file mode 100755 index df44f922d5674082a5e83c99a0b16476e69b3a2b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1023 zcmV4-vNrPR# z(ewI$e%&*8Ytvwexb%Ttj3a&vT#f*p{KXCUKo|PiJYpUB^&soR`irbL;^fmmaQu-k zIS=ZX4_ye|H1HbmD(aO`=X1m_bKJo)bmtlOv-xGjC%~_EvpRCtcl9OKhrSA4?Pc}E zE7WrwJ`+wJ_`~1+9nU)WrsHmWxBR{Q_R4$P`s8+9#vLpI&k?%@$H2$BSzXZ?ck?;! z))_~<V9hpMF3e@sq$)PF~T8pKg{7Qee|@R_-Q{BO|Lx9H;qbX(B<976xK!Jk^$ z{B_jtY#MB1U0UD?)-8c<4e>Sb2-u>}R|cB_#-VQ^zWNDp!(fbl;s*wK-YoPC&ZD2D z5%{7Xo?8O`0sI=M%X4KOesl0q7@vdBEPQ6bYrsizj86gi9KM9{De!CHyq|fl1jxGy z&gcCU(4J@T;W?%^vh(M8WzRLtPawX4Jf4$0PXq7<>MTKz^?TRn@c;Gs|EB%f{pNmg zpLtIH?VJYZdClvD$bG%SxR>>t0_XL@y3@UX*3*Z2*5~gO>Z;vrpZtB|`f)zc@3kNA z8+Y69{|fyXVBj0P*)uqc_>C@fKmp`^#p{PY*Bzf3@Ei04pY^kR4*Foz;CwF|=W~G1 zE7oCO0kG!w(aq-bxrhFpw}Zh@HB&h3^)zgV$O!o~wvB z!T0@_Wn0F4^QelX*-5NSYDw8e*=}1>QrjeVUTT{$7OQ27D$$ON38_NG8C(!c)=9>p zV0J;RVa&*Zii~s=TjP@ItSF&(@Mu+N&FK#Hl? tjH29L&}n72VQ^BeF+BN2df~A%Syzz;8z}eRX#VVf{sLv31!Ub0004tgA|?O; diff --git a/man/People.Rd b/man/People.Rd deleted file mode 100755 index 71754df..0000000 --- a/man/People.Rd +++ /dev/null @@ -1,40 +0,0 @@ -\name{people} -\alias{people} -\docType{data} - -\title{ -People data -} - -\description{ -Dataset for exploratory analysis with 32 objects (male and female persons) and 12 variables. -} - -\usage{data(people)} -\format{ - a matrix with 32 observations (persons) and 12 variables. - \tabular{rlll}{ - \code{[, 1]} \tab Height in cm. \cr - \code{[, 2]} \tab Weight in kg. \cr - \code{[, 3]} \tab Hair length (-1 for short, +1 for long). \cr - \code{[, 4]} \tab Shoe size (EU standard). \cr - \code{[, 5]} \tab Age, years. \cr - \code{[, 6]} \tab Income, euro per year. \cr - \code{[, 7]} \tab Beer consumption, liters per year. \cr - \code{[, 8]} \tab Wine consumption, liters per year. \cr - \code{[, 9]} \tab Sex (-1 for male, +1 for female). \cr - \code{[, 10]} \tab Swimming ability (index, based on 500 m swimming time). \cr - \code{[, 11]} \tab Region (-1 for Scandinavia, +1 for Mediterranean. \cr - \code{[, 12]} \tab IQ (European standardized test). \cr - } -} - -\details{ -The data was taken from the book [1] and is in fact a small subset of a pan-European demographic survey. It includes information about 32 persons, 16 represent northern Europe (Scandinavians) and 16 are from the Mediterranean regions. In both groups there are 8 male and 8 female persons. The data includes both quantitative and qualitative variables and is particularly useful for benchmarking exploratory data analysis methods. -} - -\source{ -1. K. Esbensen. Multivariate Data Analysis in Practice. Camo, 2002. -} - -\keyword{datasets} diff --git a/man/Simdata.Rd b/man/Simdata.Rd deleted file mode 100755 index 7f3c8ec..0000000 --- a/man/Simdata.Rd +++ /dev/null @@ -1,29 +0,0 @@ -\name{simdata} -\alias{simdata} -\docType{data} -\title{ -Spectral data of polyaromatic hydrocarbons mixing -} -\description{ -Simdata contains training and test set with spectra and concentration values of polyaromatic hydrocarbons mixings. -} - -\usage{data(simdata)} -\format{ - The data is a list with following fields: - \tabular{rlll}{ - \code{$spectra.c} \tab a matrix (100x150) with spectral values for the training set. \cr - \code{$spectra.t} \tab a matrix (100x150) with spectral values for the test set. \cr - \code{$conc.c} \tab a matrix (100x3) with concentration of components for the training set. \cr - \code{$conc.t} \tab a matrix (100x3) with concentration of components for the test set. \cr - \code{$wavelength} \tab a vector with spectra wavelength in nm. \cr - } -} - -\details{ -This is a simulated data containing UV/Vis spectra of three component (polyaromatic hydrocarbons) mixings - C1, C2 and C3. The spectral range is betwen 210 and 360 nm. The spectra were simulated as a linear combination of pure component spectra plus 5\% of random noise. The concentration range is (in moles): C1 [0, 1], C2 [0, 0.5], C3 [0, 0.1]. - -There are 100 mixings in a training set and 50 mixings in a test set. The data can be used for multivariate regression examples. -} - -\keyword{datasets} From b9fea41ef116e4538067e058f550fa60aa525706 Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Sun, 30 Oct 2016 07:58:05 +0100 Subject: [PATCH 3/6] fixed a bug when expvar was calculated incorrectly when some rows are excluded --- R/ldecomp.R | 4 +++- R/pca.R | 6 +++++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/R/ldecomp.R b/R/ldecomp.R index 2f9a4d4..1792098 100755 --- a/R/ldecomp.R +++ b/R/ldecomp.R @@ -238,11 +238,13 @@ ldecomp.getVariances = function(Q, totvar) { cumresvar = colSums(Q) / totvar * 100 cumexpvar = 100 - cumresvar expvar = c(cumexpvar[1], diff(cumexpvar)) - + res = list( expvar = expvar, cumexpvar = cumexpvar ) + + res } #' Statistical limits for Q and T2 residuals diff --git a/R/pca.R b/R/pca.R index a58340e..4cab0ab 100755 --- a/R/pca.R +++ b/R/pca.R @@ -685,13 +685,17 @@ predict.pca = function(object, x, cal = FALSE, ...) { x = prep.autoscale(x, center = object$center, scale = object$scale) scores = x %*% object$loadings residuals = x - tcrossprod(scores, object$loadings) - + # compute total variance if (length(object$exclcols) > 0){ x = x[, -object$exclcols, drop = F] attrs$exclcols = object$exclcols } + if (length(attrs$exclrows) > 0){ + x = x[-object$exclrows, ,drop = F] + } + totvar = sum(x^2) # create and return the results object From c151b29f86a4034a4a7142519d9f9037d4142fba Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Sun, 30 Oct 2016 07:58:42 +0100 Subject: [PATCH 4/6] improved cross-validation for SIMCA --- R/simca.R | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/R/simca.R b/R/simca.R index bdb58f1..c503c34 100755 --- a/R/simca.R +++ b/R/simca.R @@ -324,20 +324,14 @@ simca.crossval = function(model, x, cv, center = T, scale = F) { Q[ind, ] = Q[ind, ] + res$Q T2[ind, ] = T2[ind, ] + res$T2 - # compute limits - lim = ldecomp.getResLimits(m$eigenvals, nrow(x.cal), ncomp, model$alpha) - Qlim = Qlim + lim$Qlim - T2lim = T2lim + lim$T2lim } } } Q = Q / nrep; T2 = T2 / nrep; - Qlim = Qlim / nrep; - T2lim = T2lim / nrep; - m = list(Qlim = Qlim, T2lim = T2lim, classname = model$classname, ncomp = model$ncomp) + m = list(Qlim = model$Qlim, T2lim = model$T2lim, classname = model$classname, ncomp = model$ncomp) r = list(Q = Q, T2 = T2, classname = model$classname) c.pred = simca.classify(m, r) From 8523d2b2edd62ebc17d447eceb60f05dfe952924 Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Sun, 30 Oct 2016 07:58:55 +0100 Subject: [PATCH 5/6] fixed a but in Cooman's plot --- R/simcamres.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/simcamres.R b/R/simcamres.R index 8baf644..fdbf7eb 100755 --- a/R/simcamres.R +++ b/R/simcamres.R @@ -179,7 +179,7 @@ plotCooman.simcamres = function(obj, nc = c(1, 2), type = 'p', main = "Cooman's attrs = mda.getattr(obj$c.pred) res1 = obj$pred.res[[nc[1]]] res2 = obj$pred.res[[nc[2]]] - data = cbind(sqrt(res1$Q[, res1$ncomp.selected]), sqrt(res2$Q[, res2$ncomp.selected])) + data = cbind(res1$Q[, res1$ncomp.selected], res2$Q[, res2$ncomp.selected]) rownames(data) = rownames(obj$c.pred) data = mda.setattr(data, attrs, 'row') if (show.limits == T) From 1e2af9142e10a823e3eeb11c69d93d48e877283c Mon Sep 17 00:00:00 2001 From: Sergey Kucheryavskiy Date: Sun, 30 Oct 2016 08:40:24 +0100 Subject: [PATCH 6/6] chapter about SIMCA added to the tutorial --- DESCRIPTION | 4 +- NEWS | 6 + NEWS.md | 6 + R/simcam.R | 1 - .../figure-html/unnamed-chunk-43-1.png | Bin 381308 -> 378406 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 0 -> 191313 bytes .../figure-html/unnamed-chunk-61-1.png | Bin 279922 -> 280490 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 0 -> 145948 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 0 -> 155697 bytes .../figure-html/unnamed-chunk-88-1.png | Bin 0 -> 223137 bytes .../figure-html/unnamed-chunk-89-1.png | Bin 0 -> 191313 bytes .../figure-html/unnamed-chunk-91-1.png | Bin 0 -> 145948 bytes .../figure-html/unnamed-chunk-92-1.png | Bin 0 -> 155697 bytes .../figure-html/unnamed-chunk-95-1.png | Bin 0 -> 96112 bytes .../figure-html/unnamed-chunk-97-1.png | Bin 0 -> 73250 bytes .../figure-html/unnamed-chunk-98-1.png | Bin 0 -> 94685 bytes .../figure-html/unnamed-chunk-99-1.png | Bin 0 -> 174927 bytes docs/attributes-and-factors.html | 10 +- docs/calibration-and-validation.html | 349 ++++++++++++++++++ docs/datasets-and-plots.html | 10 +- docs/how-to-install.html | 10 +- docs/index.html | 12 +- docs/models-and-results-1.html | 14 +- docs/models-and-results.html | 10 +- docs/multiclass-classification.html | 330 +++++++++++++++++ docs/overview.html | 10 +- docs/partial-least-squares-regression.html | 10 +- docs/plots-for-groups-of-objects.html | 10 +- docs/plotting-methods-1.html | 10 +- docs/plotting-methods.html | 10 +- docs/preprocessing.html | 10 +- docs/principal-component-analysis.html | 10 +- docs/search_index.json | 11 +- docs/simca-classification.html | 249 +++++++++++++ docs/simple-plots.html | 10 +- docs/variable-selection.html | 16 +- docs/what-is-new.html | 20 +- docs/what-mdatools-can-do.html | 10 +- docs/working-with-images.html | 10 +- 39 files changed, 1107 insertions(+), 51 deletions(-) create mode 100644 docs/_main_files/figure-html/unnamed-chunk-5-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-7-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-8-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-88-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-89-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-91-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-92-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-95-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-97-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-98-1.png create mode 100644 docs/_main_files/figure-html/unnamed-chunk-99-1.png create mode 100644 docs/calibration-and-validation.html create mode 100644 docs/multiclass-classification.html create mode 100644 docs/simca-classification.html diff --git a/DESCRIPTION b/DESCRIPTION index cd6d9e6..19399d9 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: mdatools Title: Multivariate Data Analysis for Chemometrics -Version: 0.8.0 -Date: 2016-10-07 +Version: 0.8.1 +Date: 2016-10-30 Author: Sergey Kucheryavskiy Maintainer: Sergey Kucheryavskiy Description: Package implements projection based methods for preprocessing, diff --git a/NEWS b/NEWS index 300271f..4175b92 100755 --- a/NEWS +++ b/NEWS @@ -1,3 +1,9 @@ +v.0.8.1 +======= +* fixed a bug in PCA when explained variance was calculated incorrectly for data with excluded rows +* fixed several issues with SIMCA (cross-validation) and SIMCAM (Cooman's plot) +* added a chapter about SIMCA to the tutorial + v.0.8.0 ======= * tutorial has been moved from GitBook to Bookdown and fully rewritten diff --git a/NEWS.md b/NEWS.md index 300271f..4175b92 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,9 @@ +v.0.8.1 +======= +* fixed a bug in PCA when explained variance was calculated incorrectly for data with excluded rows +* fixed several issues with SIMCA (cross-validation) and SIMCAM (Cooman's plot) +* added a chapter about SIMCA to the tutorial + v.0.8.0 ======= * tutorial has been moved from GitBook to Bookdown and fully rewritten diff --git a/R/simcam.R b/R/simcam.R index 8691be7..fa5873c 100755 --- a/R/simcam.R +++ b/R/simcam.R @@ -166,7 +166,6 @@ predict.simcam = function(object, x, c.ref = NULL, cv = F, ...) { pred.res[[i]] = predict(object$models[[i]], x, c.ref) c.pred[, , i] = pred.res[[i]]$c.pred[, object$models[[i]]$ncomp.selected, ] } - dimnames(c.pred) = list(rownames(x), paste('Comp'), object$classnames) c.pred = mda.setattr(c.pred, attrs, 'row') attr(c.pred, 'name') = 'SIMCAM predictions' diff --git 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@@ -274,8 +280,8 @@

Variable selection

- - + + diff --git a/docs/what-is-new.html b/docs/what-is-new.html index b8febce..9f37217 100644 --- a/docs/what-is-new.html +++ b/docs/what-is-new.html @@ -25,7 +25,7 @@ - +