fancyCorr: Function for creating nicely-formatted correlation matrices.

In mcbeem/fancyCorr: Function for making fancy correlation tables.

Description

fancyCorr creates nicely-formatted correlation matrices.

Usage

fancyCorr(data, digits = 2, p.digits = 3, listwise = T, p.adj = F,
  sd.on.diag = T, p.on.upper = T, stars = F, star.thresholds = c(0.05,
  0.01, 0.001))

Arguments

data	Data frame containing the variables to be included in the matrix.
digits	The number of decimals to which the correlation coefficeents and standard deviations (if applicable) should be printed. Defaults to 2.
p.digits	The number of decimals to which the p-values should be printed. Defaults to 3.
listwise	Logical; should all rows containing missing data be removed? Defaults to TRUE.
p.adj	Logical; should the p-values be adjusted for multiple comparisons? Defaults to FALSE.
sd.on.diag	Logical; should the diagonal be replaced with standard deviations? Defaults to TRUE.
p.on.upper	Should p-values for the correlations be printed on the upper triangle? Defaults to TRUE.
stars	Should statistically significant correlation coefficients be starred? Defaults to FALSE.
star.thresholds	A vector of three values corresponding to p-value thresholds that should receive one, two, or three stars. Only operative if stars=TRUE. Defaults to c(.05, .01, .001).

Details

This function creates correlation matrices. Created as a mercy to my PSYC 5410 students.

Examples

set.seed(110)
data <- data.frame(matrix(rnorm(50), ncol=5))
fancyCorr(data)
fancyCorr(data, digits=3, p.digits=3, listwise=F, sd.on.diag=F, 
  p.adj=F, stars=T, star.thresholds=c(0,0,.1), p.on.upper=F)

mcbeem/fancyCorr documentation built on May 23, 2019, 2:50 p.m.