auto_cor: auto correlation

In autostats: Auto Stats

auto correlation

Description

Finds the correlation between numeric variables in a data frame, chosen using tidyselect. Additional parameters for the correlation test can be specified as in cor.test

Usage

auto_cor(
  .data,
  ...,
  use = c("pairwise.complete.obs", "all.obs", "complete.obs", "everything",
    "na.or.complete"),
  method = c("pearson", "kendall", "spearman", "xicor"),
  include_nominals = TRUE,
  max_levels = 5L,
  sparse = TRUE,
  pval_thresh = 0.1
)

Arguments

.data	data frame
...	tidyselect cols
use	method to deal with na. Default is to remove rows with NA
method	correlation method. default is pearson, but also supports xicor.
include_nominals	logicals, default TRUE. Dummify nominal variables?
max_levels	maximum numbers of dummies to be created from nominal variables
sparse	logical, default TRUE. Filters and arranges cor table
pval_thresh	threshold to filter out weak correlations

Details

includes the asymmetric correlation coefficient xi from xicor

Value

data frame of correlations

Examples

iris %>%
auto_cor()

# don't use sparse if you're interested in only one target variable
iris %>%
auto_cor(sparse = FALSE) %>%
dplyr::filter(x == "Petal.Length")

autostats documentation built on Nov. 10, 2022, 6:13 p.m.