bpca is an R package for biplot analysis based on principal components.
hj, sqrt, jk, gh) for different interpretations.xtable(bpca(...)) and print(..., type = "html").Install from CRAN:
install.packages("bpca")
Install the development version from GitHub:
# install.packages("remotes")
# remotes::install_github("jcfaria/bpca")
install.packages("bpca", repos = c('https://jcfaria.r-universe.dev', 'https://cloud.r-project.org'))
library(bpca)
# Example with the classic iris dataset
bp <- bpca(iris[-5], d = 1:2)
plot(
bp,
var.col = "blue",
var.factor = 2,
main = "Biplot - Iris Dataset"
)
For more complete examples, see:
demo("bpca", package = "bpca")vignette("bpca-overview", package = "bpca")GPL-2. Author: José Cláudio Faria.
Author: José Cláudio Faria · Universidade Estadual de Santa Cruz (UESC)
/R: Core computational and plotting functions./data: Example datasets shipped with the package./demo: Runnable demos illustrating usage./man: Documentation (.Rd files)./inst: Extra package materials (e.g. citations)./vignettes: Vignettes and tutorials.Contributions are welcome. Open an Issue or submit a Pull Request on github.com/jcfaria/bpca with:
Developed by:
Faria, J. C.; Allaman, I. B.
Universidade Estadual de Santa Cruz - UESC
Departamento de Ciências Exatas - DCEX
Ilhéus - Bahia - Brasil
Demétrio, C. G. B.
Universidade de São Paulo - USP
Escola Superior de Agricultura Luiz de Queiroz - ESALQ
Piracicaba - São Paulo - Brasil