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RSCABS (version 0.9.5)

Rao-Scott Cochran-Armitage by Slices Trend Test

Description

Performs the Rao-Scott Cochran-Armitage by Slices trend test (RSCABS) used in analysis of histopathological endpoints, built to be used with either a GUI or by a command line. The RSCABS method is detailed in "Statistical analysis of histopathological endpoints" by John Green et. al. (2014) .

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Version

Install

install.packages('RSCABS')

Monthly Downloads

25

Version

0.9.5

License

CC0

Maintainer

Joe Swintek

Last Published

May 1st, 2020

Functions in RSCABS (0.9.5)

detailedResults2HTML

Saves results as an HTML file
convert2Score

Converts any object that is not zero or a positive number to NA
checkSelction

Checks user inputs
detailedResults2Output

Print results to the GUI window
RSCABSMain

Cleans data and runs RSCABS when called from the GUI interface
checkPlot

Check the selection for plotting
Histopath

GUI for analysis of histopathological data
addHistoSpec

Specify data parameters
RSCABS-package

Runs the Rao-Scott adjusted Cochran-Armitage trend test by slices (RSCABS) analysis
otherPath

Other analyses for histopathological endpoints
plotRSCABS

Plots histopathological data.
filterData

Filters problematic data
selectPara

Window to declare the names of variables and values
saveFile

Saves a data set
RSCABK

Runs the kth slice of RSCABS
exampleHistData

Example histology data
plotPath

Plot histopathological data
getDir

Attain the name of a directory
prepDataRSCABS

Prepares data for an RSCABS analysis
openCB

Open a csv file
runDetailedResults

Attain detailed results on an endpoint
popMessage

Pops up a message
stepKRSCABS

Steps through the severity score for a given effect
setPlotParms

Sets the default plotting parameters for RSCABS
stepDownRSCABS

Performs the step down aspect of RSCABS
subsetDataKeep

Subsets data
runStdSubset

Subset the data used in Histopath
saveCB

Attain the name of a file to be saved
runEffectSelect

Runs a detailed analysis on an endpoint
runRSCABS

Runs RSCABS