Crossvalidated linear discriminant calculations determine the optimum number of features. Test and training scores from successive crossvalidation steps determine, via a principal components calculation, a lowdimensional global space onto which test scores are projected, in order to plot them. Further functions are included that serve didactic purposes.
Author  John Maindonald 
Date of publication  20161103 23:09:33 
Maintainer  John Maindonald <john.maindonald@anu.edu.au> 
License  GPL (>= 2) 
Version  0.572 
URL  http://www.maths.anu.edu.au/~johnm 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

All man pages Function index File listing
Man pages  

accTrainTest: Two subsets of data each take in turn the role of test set  
aovFbyrow: calculate aov Fstatistic for each row of a matrix  
cvdisc: Crossvalidated accuracy, in linear discriminant calculations  
cvscores: For highdimensional data with known groups, derive scores...  
defectiveCVdisc: defective accuracy assessments from linear discriminant...  
divideUp: Partition data into mutiple nearly equal subsets  
Golub: Golub data (7129 rows by 72 columns), after normalization  
golubInfo: Classifying factors for the 72 columns of the Golub data set  
hddplot.package: For highdimensional data with known groups, derive scores...  
orderFeatures: Order features, based on their ability to discriminate  
pcp: convenience version of the singular value decomposition  
plotTrainTest: Plot predictions for both a I/II train/test split, and the...  
qqthin: a version of qqplot() that thins out points that overplot  
scoreplot: Plot discriminant function scores, with various...  
simulateScores: Generate linear discriminant scores from random data, after... 
Functions  

Golub  Man page 
accTrainTest  Man page 
aovFbyrow  Man page 
cvdisc  Man page 
cvscores  Man page 
defectiveCVdisc  Man page 
divideUp  Man page 
golubInfo  Man page 
hddplot  Man page 
hddplotpackage  Man page 
orderFeatures  Man page 
pcp  Man page 
plotTrainTest  Man page 
qqthin  Man page 
scoreplot  Man page Source code 
simulateScores  Man page Source code 
Files  

inst
 
inst/CITATION
 
inst/doc
 
inst/doc/QUICKhddplot.pdf
 
inst/doc/QUICKhddplot.R  
inst/doc/hddplot.pdf
 
inst/doc/QUICKhddplot.Rnw
 
NAMESPACE
 
demo
 
demo/classifyRandom.R  
demo/00Index
 
demo/biasedPlots.R  
demo/CVscoreplot.R  
data
 
data/golubInfo.rda
 
data/Golub.rda
 
data/datalist
 
R
 
R/aovFbyrow.R  
R/cvdisc.R  
R/defectiveCVdisc.R  
R/qqthin.R  
R/scoreplot.R  
R/orderFeatures.R  
R/plotTrainTest.R  
R/divideUp.R  
R/simulateScores.R  
R/pcp.R  
R/accTrainTest.R  
R/cvscores.R  
vignettes
 
vignettes/QUICKhddplot.Rnw
 
MD5
 
README
 
build
 
build/vignette.rds
 
DESCRIPTION
 
man
 
man/golubInfo.Rd  
man/orderFeatures.Rd  
man/cvdisc.Rd  
man/pcp.Rd  
man/defectiveCVdisc.Rd  
man/simulateScores.Rd  
man/Golub.Rd  
man/hddplot.package.Rd  
man/scoreplot.Rd  
man/plotTrainTest.Rd  
man/aovFbyrow.Rd  
man/cvscores.Rd  
man/accTrainTest.Rd  
man/divideUp.Rd  
man/qqthin.Rd 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs in the GitHub issue tracker.
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