Functions for the Courses Multivariate Analysis and Computer Intensive Methods

Documentation for package ‘multiUS’ version 1.2.3

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