ezcor_partial_cor: Run partial correlation

In UCSCXenaShiny: Interactive Analysis of UCSC Xena Data

Run partial correlation

Description

Run partial correlation

Usage

ezcor_partial_cor(
  data = NULL,
  split = FALSE,
  split_var = NULL,
  var1 = NULL,
  var2 = NULL,
  var3 = NULL,
  cor_method = "pearson",
  sig_label = TRUE,
  ...
)

Arguments

data	a data.frame containing variables
split	whether perform correlation grouped by a variable, default is 'FALSE'
split_var	a character, the group variable
var1	a character, the first variable in correlation
var2	a character, the second variable in correlation
var3	a character or character vector, the third variable in correlation
cor_method	method="pearson" is the default value. The alternatives to be passed to cor are "spearman" and "kendall"
sig_label	whether add symbal of significance. P < 0.001,""; P < 0.01,""; P < 0.05,""; P >=0.05,""
...	other arguments passed to methods

Value

a data.frame

Author(s)

Yi Xiong

See Also

ppcor::pcor.test() which this function wraps.

UCSCXenaShiny documentation built on March 7, 2023, 7 p.m.