Learn R Programming

Correlplot (version 1.1.3)

A Collection of Functions for Graphing Correlation Matrices

Description

Routines for the graphical representation of correlation matrices by means of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted alternating least squares); See Graffelman & De Leeuw (2023) .

Copy Link

Version

Install

install.packages('Correlplot')

Monthly Downloads

461

Version

1.1.3

License

GPL (>= 2)

Homepage

https://www.r-project.org

Maintainer

Jan Graffelman

Last Published

April 2nd, 2026

Functions in Correlplot (1.1.3)

Plot a correlogram

Correlation matrix for height and length

Create a correlogram as a ggplot object.

Correlations for 10 generated variables

Correlations between characteristics of aircraft

Function for obtaining a weighted least squares low-rank approximation of a symmetric matrix

Linearized cosine function

Correlations between size measurements of archeological goblets

Convert angles to correlations.

Correlations between sources of protein

Principal Coordinate Analysis

Low-rank matrix approximation by weighted alternating least squares

Principal factor analysis

Correlations between marks for 5 exams

Marks for 5 student exams

Compute the trace of a matrix

Create a tally on a biplot vector

Correlations between three variables

Correlation matrix of characteristics of Australian athletes

Calculate the root mean squared error

Create a correlation tally stick on a biplot vector

Correlations between sources of protein

Correlations between national track records for men

Calculate RMSE of a Low-rank Approximation to the Between-set Correlation Matrix

Generate a table of root mean square error (RMSE) statistics for principal component analysis (PCA) and weighted alternating least squares (WALS).

FitRwithPCAandWALS

Calculate a low-rank approximation to the correlation matrix with four methods

Correlations between thirtheen fysiological variables

Wheat kernel data

Create a biplot with ggplot2

Program Keller calculates a rank p approximation to a correlation matrix according to Keller's method.

Heights of mothers and daughters

Myocardial infarction or Heart attack data

Psychological Variables and Academic Performance

Characteristics of aircraft

Correlations between educational and demographic variables

FitAllModelsRxy

Fit all Models for the Between-Set Correlation Matrix

Fit angles to a correlation matrix

Low rank approximation of the between-set correlation matrix

Approximation of a correlation matrix with column adjustment and symmetric low rank factorization

Swiss banknote data

Correlation matrix for boys of the Berkeley Guidance Study

Establish limits for x and y axis