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,
  nsmall = digits,
  file = NULL,
  plot = TRUE,
  plot.range = c(-1, 1),
  plot.palette = NULL,
  plot.color.levels = 201,
  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, nsmall	Number of decimal places of output. Default is 2.
file	File name of MS Word (.doc).
plot	TRUE (default) or FALSE. Plot the correlation matrix.
plot.range	Range of correlation coefficients for plot. Default is c(-1, 1).
plot.palette	Color gradient for plot. Default is c("#B52127", "white", "#2171B5"). You may also set it to, e.g., c("red", "white", "blue").
plot.color.levels	Default is 201.
plot.file	NULL (default, plot in RStudio) or a file name ("xxx.png").
plot.width	Width (in "inch") of the saved plot. Default is 8.
plot.height	Height (in "inch") of the saved plot. Default is 6.
plot.dpi	DPI (dots per inch) of the saved plot. Default is 500.

Value

Invisibly return the correlation results obtained from psych::corr.test().

See Also

Describe

Examples

Corr(airquality)
Corr(airquality, p.adjust="bonferroni")

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 March 7, 2023, 5:41 p.m.