corxplor: Interactive tools for exploring correlation matrices

corxplor has two main objectives:

• to facilitate the exploration of large correlation matrices by providing a data structure that can be quickly and interactively queried to view different subsets of bivariate relationships.

• to provide resampling procedures to generate bootstrapped confidence intervals for correlation coefficients and to control for false discoveries when calculating p-values for multiple correlations.

Installation instructions

To install corxplor in R, you first need to install the devtools package if you haven’t already:

	install.packages("devtools")

Once devtools is installed, use the following command to install corxplor on your system:

	devtools::install_github("jashu/corxplor")