Corr: Correlation analysis.

In bruceR: Broadly Useful Convenient and Efficient R Functions

Correlation analysis.

Description

Correlation analysis.

Usage

Corr(
  data,
  method = "pearson",
  p.adjust = "none",
  all.as.numeric = TRUE,
  digits = 2,
  file = NULL,
  plot = TRUE,
  plot.r.size = 4,
  plot.colors = NULL,
  plot.file = NULL,
  plot.width = 8,
  plot.height = 6,
  plot.dpi = 500
)

Arguments

data	Data frame.
method	"pearson" (default), "spearman", or "kendall".
p.adjust	Adjustment of p values for multiple tests: "none", "fdr", "holm", "bonferroni", ... For details, see stats::p.adjust().
all.as.numeric	TRUE (default) or FALSE. Transform all variables into numeric (continuous).
digits	Number of decimal places of output. Defaults to 2.
file	File name of MS Word (.doc).
plot	TRUE (default) or FALSE. Plot the correlation matrix.
plot.r.size	Font size of correlation text label. Defaults to 4.
plot.colors	Plot colors (character vector). Defaults to "RdBu" of the Color Brewer Palette.
plot.file	NULL (default, plot in RStudio) or a file name ("xxx.png").
plot.width	Width (in "inch") of the saved plot. Defaults to 8.
plot.height	Height (in "inch") of the saved plot. Defaults to 6.
plot.dpi	DPI (dots per inch) of the saved plot. Defaults to 500.

Value

Invisibly return a list with (1) correlation results from psych::corr.test() and (2) a ggplot2 object if plot=TRUE.

See Also

Describe

cor_multilevel

Examples

Corr(airquality)
Corr(airquality, p.adjust="bonferroni",
     plot.colors=c("#b2182b", "white", "#2166ac"))

d = as.data.table(psych::bfi)
added(d, {
  gender = as.factor(gender)
  education = as.factor(education)
  E = .mean("E", 1:5, rev=c(1,2), range=1:6)
  A = .mean("A", 1:5, rev=1, range=1:6)
  C = .mean("C", 1:5, rev=c(4,5), range=1:6)
  N = .mean("N", 1:5, range=1:6)
  O = .mean("O", 1:5, rev=c(2,5), range=1:6)
})
Corr(d[, .(age, gender, education, E, A, C, N, O)])

bruceR documentation built on June 22, 2024, 12:26 p.m.