plot_corr: Plot correlations using package:corrplot

In peterjuv/myHelpers: Misc helper functions for R

Description

2019-10-13 for OBV; 2020-05-05 for Kiraly uses cor() and corrplot.mixed()

Usage

plot_corr(
  data,
  fNameMid,
  folder = ".",
  varsExclude = c(),
  varsInclude = NULL,
  orders = c("AOE", "original"),
  wh = 12,
  ...
)

Implementation_old

## Not run: plot_corr <- function(data, fNameMid, folder=".", varsExclude=c(), varsInclude=NULL, order="AOE", width=12, height=12) { ## 2019-10-13 for OBV ## uses cor() and corrplot.mixed require(corrplot) numVars <- unlist(lapply(data, is.numeric)) numVars[names(numVars) numNames <- names(numVars[numVars]) if (!is.null(varsInclude)) numNames <- intersect(varsInclude, numNames) pdf(file.path(folder,paste0("corrplot_",fNameMid,"_",deparse(substitute(data)),".pdf")),width, height) cors <- cor(data[, numNames], use="na.or.complete") colnames(cors) <- rownames(cors) <- numNames corrplot.mixed(cors, order=order) dev.off() } ## End(Not run)

peterjuv/myHelpers documentation built on June 12, 2021, 1:44 p.m.