table_categorical: Display table with comparison of the partition with...

In LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning

Description

Display table with comparison of the partition with categorical variables.

Usage

table_categorical(
  data,
  partition.name,
  vars.cat,
  vars.cat.names = NULL,
  na.value = "",
  nb.dec = 1,
  text.pval = FALSE
)

Arguments

data	The dataset.
partition.name	string. Name of the partition (in data). The partition variable should be a factor.
vars.cat	vector of strings. variables to compare to (categorical only).
vars.cat.names	Optional. Names for displaying the categorical variables. (in the same order than vars.cat)
na.value	Value to use for the empty cases (e.g. "" or NA).
nb.dec	digit. Number of decimals for the percentage.
text.pval	boolean. Set to TRUEto display "p=", to FALSE to display only the value.

Value

table with n and percentage values per level of the partition and chi square test p-values.

Examples

data(cancer, package = "survival")
cancer$status <- factor(cancer$status)
table_categorical(data = cancer, partition.name = "status",
                  vars.cat = c("sex", "ph.ecog"))

LilithF/doMIsaul documentation built on Dec. 17, 2021, 12:08 a.m.