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:

13 exports 4 stars 2.54 score 31 dependencies 9 mentions 34 scripts 370 downloads

Last updated 10 months agofrom:76fe1436bf. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-winNOTESep 18 2024
R-4.5-linuxNOTESep 18 2024
R-4.4-winOKSep 18 2024
R-4.4-macOKSep 18 2024
R-4.3-winOKSep 18 2024
R-4.3-macOKSep 18 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 Sep 18 2024.

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