Functions for the Courses Multivariate Analysis and Computer Intensive Methods

Documentation for package ‘multiUS’ version 1.1.0

antiImage	Anti-image matrix
BoxMTest	Box's test for equivalence of covariance matrices
cancorPlus	Canonical correlations
compLoad	Compare factor loadings
corTestDf	Compute correlations and test their statistical significance
discretize	Transform continous 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
plotMeans	Plot the means
predict.ldaPlus	Predict the values of a categorical variable based on a linear discriminant function
printCorTestDf	Print the results of the 'CorTestDf' function
printP	Print p-value
renameVar	Rename variables
seqKNNimp	Sequential KNN imputation method
testCC	Test of canonical correlations
wardKF	Calculate the value of the Ward criterion function