R: Functions for the Courses Multivariate Analysis and Computer Intensive Methods

# Functions for the Courses Multivariate Analysis and Computer Intensive Methods

## Documentation for package ‘multiUS’ version 1.2.3

- DESCRIPTION file

## Help Pages

antiImage | Anti-image matrix
BoxMTest | Box's test for equivalence of covariance matrices
breakString | Break a string
cancorPlus | Canonical correlations
compLoad | Compare factor loadings
corTestDf | Compute correlations and test their statistical significance
discretize | Transform continuous variable to a discrete variable
freqTab | Create a frequency table
histNorm | Histogram with normal curve
KNNimp | KNN-imputation method
ldaPlus | Linear discriminant analysis
makeFactorLabels | Make factor labels
mapLda | LDA mapping
Omega | Simple version of omega coefficient - measure of measurement internal consistency based on factor analysis
plotCCA | Plot a solution of canonical correlations
plotMeans | Plot the means
predict.ldaPlus | Predict the values of a categorical variable based on a linear discriminant function
print.corTestDf | Compute correlations and test their statistical significance
printCorTestDf | Compute correlations and test their statistical significance
printP | Print p-value
renameVar | Rename variables
seqKNNimp | Sequential KNN imputation method
small2other | Recoding the smallest categories to "other" value in case of too many or too small categories.
testCC | Test of canonical correlations
Theta | Theta coefficient - measure of measurement internal consistency based on principal component analysis
wardCF | Calculate the value of the Ward criterion function
wardKF | Calculate the value of the Ward criterion function