R: Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis

# Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis

## Documentation for package ‘cabootcrs’ version 2.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

cabootcrs-package | Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis
addsupplementary | Calculate coordinates for supplementary points, with option to add to the currently selected plot.
allvarscovs | Extract all variances and covariances in readable form as a data frame
AsbestosData | Asbestos data
AttachmentData | van Ijzendoorn's attachment data
cabasicresults-class | A class containing the basic results from CA
cabootcrs | Calculate category point variances using bootstrapping
cabootcrsresults-class | A class containing the results from CA with bootstrapping
convert | Converting a data matrix from one format into another
covmat | Extract a single 2 by 2 covariance matrix
DreamData | Maxwell's dream data set, with simplified labels
DreamData223by3 | Maxwell's dream data set with added totally random column
DreamDataNames | Maxwell's dream data set, using full original labels
getBurt | Converting a data matrix into a Burt matrix
getCT | Converting a data matrix into a contingency table
getdoubled | Converting a data matrix into a doubled matrix
getindicator | Converting a data matrix into an indicator matrix
myresamplefn | Example of a user-generated resampling routine.
NishData | Nishisato's Singapore data
OsteoData | Osteoarchaeological data with categories given as numbers
OsteoDataNames | Osteoarchaeological data with named categories
plotca | Plotting results with confidence regions
printca | Prints reasonably full results, including variances
rearrange | Rearranges bootstrap axes by comparing to sample axes
rearrange_old | Old and rubbish algorithm to rearrange bootstrap axes by comparing to sample axes
reflectaxes | Reflect coordinates for chosen axes
reordercategories | Reorder categories for chosen variable in MCA case only
sca | Performs standard Correspondence Analysis calculations
settingsinertias | Internal function to be used by printca and summaryca
SuicideData | Suicide data
summaryca | Prints brief 2-d results, with standard deviations