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Corr

Correlation analysis.

Description

Correlation analysis.

Usage

Corr(
  data,
  method = "pearson",
  nsmall = 2,
  p.adjust = "none",
  all.as.numeric = TRUE,
  plot = TRUE,
  plot.range = c(-1, 1),
  plot.palette = NULL,
  plot.color.levels = 201,
  save.file = NULL,
  width = 8,
  height = 6,
  dpi = 500
)

Arguments

data

Data frame.
method

"pearson" (default), "spearman", or "kendall".
nsmall

Number of decimal places of output. Default is 2.
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).
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.
save.file

NULL (default, plot in RStudio) or a file name ("xxx.png").
width

Width (in "inch") of the saved plot. Default is 8.
height

Height (in "inch") of the saved plot. Default is 6.
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

Examples

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

d=as.data.table(psych::bfi)
d[,`:=`(
  gender=as.factor(gender),
  education=as.factor(education),
  E=MEAN(d, "E", 1:5, rev=c(1,2), likert=1:6),
  A=MEAN(d, "A", 1:5, rev=1, likert=1:6),
  C=MEAN(d, "C", 1:5, rev=c(4,5), likert=1:6),
  N=MEAN(d, "N", 1:5, likert=1:6),
  O=MEAN(d, "O", 1:5, rev=c(2,5), likert=1:6)
)]
Corr(d[,.(age, gender, education, E, A, C, N, O)])
bruceR

Broadly Useful Convenient and Efficient R Functions

v0.6.2
GPL-3
Authors
Han-Wu-Shuang Bao [aut, cre]
Initial release
2021-04-08

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