table_continuous: 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 continuous variables.

Usage

table_continuous(
  data,
  partition.name,
  vars.cont,
  vars.cont.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.cont	vector of strings. variables to compare to (continuous only).
vars.cont.names	Optional. Names for displaying the continuous variables. (in the same order than vars.cont)
na.value	Value to use for the empty cases (e.g. "" or NA).
nb.dec	digit. Number of decimals for the mean and quartile values.
text.pval	boolean. Set to TRUEto display "p=", to FALSE to display only the value.

Value

table with mean and Q1 Q3 values per level of the partition and ANOVA test p-values.

Examples

data(cancer, package = "survival")
cancer$status <- factor(cancer$status)
table_continuous(data = cancer, partition.name = "status",
                  vars.cont = c("age", "meal.cal", "wt.loss"))

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