multi_compare: a container for performing two or more sample test.

In xiangpin/MicrobitaProcess: A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework

a container for performing two or more sample test.

Description

a container for performing two or more sample test.

Usage

multi_compare(
  fun = wilcox.test,
  data,
  feature,
  factorNames,
  subgroup = NULL,
  ...
)

Arguments

fun	character, the method for test, optional ""
data	data.frame, nrow sample * ncol feature+factorNames.
feature	vector, the features wanted to test.
factorNames	character, the name of a factor giving the corresponding groups.
subgroup	vector, the names of groups, default is NULL.
...	additional arguments for fun.

Value

the result of fun, if fun is wilcox.test, it will return the list with class "htest".

Author(s)

Shuangbin Xu

Examples

datest <- data.frame(A=rnorm(1:10,mean=5),
                     B=rnorm(2:11, mean=6), 
                     group=c(rep("case",5),rep("control",5)))
head(datest)
multi_compare(fun=wilcox.test,data=datest,
              feature=c("A", "B"),factorNames="group")
da2 <- data.frame(A=rnorm(1:15,mean=5),
                  B=rnorm(2:16,mean=6),
                  group=c(rep("case1",5),rep("case2",5),rep("control",5)))
multi_compare(fun=wilcox.test,data=da2,
              feature=c("A", "B"),factorNames="group",
              subgroup=c("case1", "case2"))

xiangpin/MicrobitaProcess documentation built on April 12, 2024, 9:03 p.m.