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multiUS (version 1.2.3)

Functions for the Courses Multivariate Analysis and Computer Intensive Methods

Description

Provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.

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Version

Install

install.packages('multiUS')

Monthly Downloads

241

Version

1.2.3

License

GPL (>= 2)

Maintainer

Marjan Cugmas

Last Published

January 23rd, 2023

Functions in multiUS (1.2.3)

makeFactorLabels

Make factor labels

Plot a solution of canonical correlations

Linear discriminant analysis

Create a frequency table

Histogram with normal curve

Rename variables

predict.ldaPlus

Predict the values of a categorical variable based on a linear discriminant function

Calculate the value of the Ward criterion function

Test of canonical correlations

Recoding the smallest categories to "other" value in case of too many or too small categories.

Sequential KNN imputation method

Box's test for equivalence of covariance matrices

Theta coefficient - measure of measurement internal consistency based on principal component analysis

KNN-imputation method

Compare factor loadings

Compute correlations and test their statistical significance

Transform continuous variable to a discrete variable

Anti-image matrix

Canonical correlations

Simple version of omega coefficient - measure of measurement internal consistency based on factor analysis