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Summary

{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.

Basic examples

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)

Download and Install

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)

How to cite

To cite corrplot properly, call the R built-in command citation('Path.Analysis') as follows:

citation('Rapth')

Reporting bugs and other issues

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.
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