Package: Correlplot 1.1.0

Correlplot: A Collection of Functions for Graphing Correlation Matrices

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) <doi:10.1080/00031305.2023.2186952>.

Authors:Jan Graffelman [aut, cre], Jan De Leeuw [aut]

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Correlplot.pdf |Correlplot.html✨
Correlplot/json (API)

# Install 'Correlplot' in R:
install.packages('Correlplot', repos = c('https://jangraffelman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • HeartAttack - Myocardial infarction or Heart attack data
  • Kernels - Wheat kernel data
  • PearsonLee - Heights of mothers and daughters
  • aircraft - Characteristics of aircraft
  • aircraftR - Correlations between characteristics of aircraft
  • artificialR - Correlations for 10 generated variables
  • athletesR - Correlation matrix of characteristics of Australian athletes
  • banknotes - Swiss banknote data
  • berkeleyR - Correlation matrix for boys of the Berkeley Guidance Study
  • cathedralsR - Correlation matrix for height and length
  • countriesR - Correlations between educational and demographic variables
  • fysiologyR - Correlations between thirtheen fysiological variables
  • gobletsR - Correlations between size measurements of archeological goblets
  • proteinR - Correlations between sources of protein
  • recordsR - Correlations between national track records for men
  • storksR - Correlations between three variables
  • students - Marks for 5 student exams
  • studentsR - Correlations between marks for 5 exams

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

20 exports 0.09 score 32 dependencies 11 scripts 498 downloads

Last updated 8 months agofrom:eaa1925a48. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:angleToRcorrelogramfit_anglesFitRDeltaQSymFitRwithPCAandWALSggbplotggcorrelogramggtallyipSymLSjointlimKellerlinangplotlincospcopfarmsermsePCAandWALStallytrwAddPCA

Dependencies:calibrateclicolorspacecorrplotfansifarverggplot2gluegtableisobandlabelinglatticelifecyclelseimagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithrxtable

Visualization of a correlation matrix with the Correlplot package

Jan Graffelman - Universitat Politecnica de Catalunya; University of Washington, Jan de Leeuw - University of California Los Angeles

Rendered fromCorrelplotManual.Rmdusingknitr::rmarkdownon Aug 21 2024.

Last update: 2024-01-24
Started: 2024-01-22

Readme and manuals

Help Manual

Help pageTopics
Characteristics of aircraftaircraft
Correlations between characteristics of aircraftaircraftR
Convert angles to correlations.angleToR
Correlations for 10 generated variablesartificialR
Correlation matrix of characteristics of Australian athletesathletesR
Swiss banknote databanknotes
Correlation matrix for boys of the Berkeley Guidance StudyberkeleyR
Correlation matrix for height and lengthcathedralsR
Plot a correlogramcorrelogram
Correlations between educational and demographic variablescountriesR
Fit angles to a correlation matrixfit_angles
Approximation of a correlation matrix with column adjustment and symmetric low rank factorizationFitRDeltaQSym
Calculate a low-rank approximation to the correlation matrix with four methodsFitRwithPCAandWALS
Correlations between thirtheen fysiological variablesfysiologyR
Create a biplot with ggplot2ggbplot
Create a correlogram as a ggplot object.ggcorrelogram
Create a correlation tally stick on a biplot vectorggtally
Correlations between size measurements of archeological gobletsgobletsR
Myocardial infarction or Heart attack dataHeartAttack
Function for obtaining a weighted least squares low-rank approximation of a symmetric matrixipSymLS
Establish limits for x and y axisjointlim
Program 'Keller' calculates a rank p approximation to a correlation matrix according to Keller's method.Keller
Wheat kernel dataKernels
Linang plotlinangplot
Linearized cosine functionlincos
Principal Coordinate Analysispco
Heights of mothers and daughtersPearsonLee
Principal factor analysispfa
Correlations between sources of proteinproteinR
Correlations between sources of proteinproteinsR
Correlations between national track records for menrecordsR
Calculate the root mean squared errorrmse
Generate a table of root mean square error (RMSE) statistics for principal component analysis (PCA) and weighted alternating least squares (WALS).rmsePCAandWALS
Correlations between three variablesstorksR
Marks for 5 student examsstudents
Correlations between marks for 5 examsstudentsR
Create a tally on a biplot vectortally
Compute the trace of a matrixtr
Low-rank matrix approximation by weighted alternating least squareswAddPCA