Package: bpca 1.3-7

bpca: Biplot of Multivariate Data Based on Principal Components Analysis

Implements biplot (2d and 3d) of multivariate data based on principal components analysis and diagnostic tools of the quality of the reduction.

Authors:José C. Faria [aut, cre], Ivan B. Allaman [aut], Clarice G. B. Demétrio [aut]

bpca_1.3-7.tar.gz
bpca_1.3-7.zip(r-4.5)bpca_1.3-7.zip(r-4.4)bpca_1.3-7.zip(r-4.3)
bpca_1.3-7.tgz(r-4.4-any)bpca_1.3-7.tgz(r-4.3-any)
bpca_1.3-7.tar.gz(r-4.5-noble)bpca_1.3-7.tar.gz(r-4.4-noble)
bpca_1.3-7.tgz(r-4.4-emscripten)bpca_1.3-7.tgz(r-4.3-emscripten)
bpca.pdf |bpca.html
bpca/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jcfaria/bpca/issues

Datasets:
  • gabriel1971 - Percentages of households having various facilities and appliances in East Jerusalem Arab areas, by quarters of the town
  • gge2003 - A didactic matrix of genotypes
  • marina - Films shown at five festivals in Brazil from 2007 to 2011
  • ontario - Ontario winter wheat

On CRAN:

5.79 score 4 stars 34 scripts 360 downloads 9 mentions 13 exports 31 dependencies

Last updated 1 years agofrom:76fe1436bf. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:bpcabpca.defaultbpca.prcompdt.toolsplot.bpca.2dplot.bpca.3dplot.qbpcaprint.xtable.bpcaqbpcasummary.bpcavar.rbfvar.rdfxtable.bpca

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeR6rappdirsrglrlangrmarkdownsassscatterplot3dtinytexxfunxtableyaml

Latex tables for bpca objects

Rendered fromlatex-bpca.Rnwusingutils::Sweaveon Nov 17 2024.

Last update: 2023-11-23
Started: 2018-07-06