{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.
âPath.Analysisâ 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.
Basic exampleslibrary(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:
If you encounter a clear bug, please file a minimal reproducible example on github.
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