Run correlation between two variables in a batch mode and support group by a variable
Source:R/ezcor.R
ezcor_batch.Rd
Run correlation between two variables in a batch mode and support group by a variable
Usage
ezcor_batch(
data,
var1,
var2,
split = FALSE,
split_var = NULL,
cor_method = "pearson",
adjust_method = "none",
use = "complete",
sig_label = TRUE,
parallel = FALSE,
verbose = FALSE
)
Arguments
- data
a
data.frame
containing variables- var1
a character, the first variable in correlation
- var2
a character, the second variable in correlation
- split
whether perform correlation grouped by a variable, default is 'FALSE'
- split_var
a
character
, the group variable- cor_method
method="pearson" is the default value. The alternatives to be passed to cor are "spearman" and "kendall"
- adjust_method
What adjustment for multiple tests should be used? ("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none")
- use
use="pairwise" will do pairwise deletion of cases. use="complete" will select just complete cases
- sig_label
whether add symbal of significance. P < 0.001,
***
; P < 0.01,**
; P < 0.05,*
; P >=0.05,""- parallel
if
TRUE
, do parallel computation by furrr package.- verbose
if
TRUE
, print extra info.