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{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
R package Path.Analysis provides a comprehensive
textual and illustrative analysis on raw data or a correlation matrix to
extract correlation coefficients, path direct and indirect effect along
with testing direct effects. Later, it draws 3 kinds of correlation
plot, diagram and a Heatmap.
‘Path.Analysis’ is very easy to use and provides a good plotting options in visualization method, graphic layout, color, legend, text labels, etc. It also provides p-values of direct effects to help users determine the statistical significance of the correlations and direct effects.
For examples, see its #online vignette.
This package is licensed under the MIT license, and available on CRAN: https://cran.r-project.org/package=Path.Analysis.
library(Path.Analysis)
data(dtsimp)
Path.Analysis(dtsimp, 1, rplot = FALSE, rdend = FALSE)library(Path.Analysis)
data(dtraw)
Path.Analysis(dtraw, 1, rplot = TRUE, rdend = FALSE)To download the release version of the package on CRAN, type the following at the R command line:
install.packages('Path.Analysis')To download the development version of the package, type the following at the R command line:
devtools::install_github('abeyran/Path.Analysis', build_vignettes = TRUE)To cite corrplot properly, call the R built-in command
citation('Path.Analysis') as follows:
citation('Rapth')If you encounter a clear bug, please file a minimal reproducible example on github.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.