AsbestosData            Asbestos data
AttachmentData          van Ijzendoorn's attachment data
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
NishData                Nishisato's Singapore data
OsteoData               Osteoarchaeological data with categories given
                        as numbers
OsteoDataNames          Osteoarchaeological data with named categories
SuicideData             Suicide data
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
cabasicresults-class    A class containing the basic results from CA
cabootcrs               Calculate category point variances using
                        bootstrapping
cabootcrs-package       Bootstrap Confidence Regions for Simple and
                        Multiple Correspondence Analysis
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
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.
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
summaryca               Prints brief 2-d results, with standard
                        deviations
