BiVariAn (version 1.0.3)

continuous_2g_pair: Bivariate analysis for 2 groups for paired data

Description

Automatic paired test for continuous variables for 2 groups. Variable names can be assigned using table1::label() function.

Usage

continuous_2g_pair(
  data,
  groupvar,
  ttest_args = list(),
  wilcox_args = list(),
  flextableformat = TRUE
)

Value

A dataframe or flextable with containing p values for paired tests along with statistics for normality and homocedasticity.

Arguments

data

Data frame from which variables will be extracted.

groupvar

Grouping variable. Must have exactly 2 levels.

ttest_args

Arguments to be passed to t.test() function.

wilcox_args

Arguments to be passed to wilcox.test() function.

flextableformat

Logical operator to indicate the output desired. Default is TRUE. When FALSE, function will return a dataframe format.

Examples

data <- data.frame(group = rep(letters[1:2], 30),
                   var1 = rnorm(60, mean = 15, sd = 5),
                  var2 = rnorm(60, mean = 20, sd = 2),
                  var3 = rnorm(60, mean = 10, sd = 1),
                  var4 = rnorm(60, mean = 5, sd =2))
data$group<-as.factor(data$group)

continuous_2g_pair(data = data, groupvar = "group")

# Set names to variables
if(requireNamespace("table1")){
table1::label(data$var1) <- "Variable 1"
table1::label(data$var2) <- "Variable 2"
table1::label(data$var3) <- "Variable 3"
table1::label(data$var4) <- "Variable 4"

continuous_2g_pair(data = data, groupvar = "group", flextableformat = FALSE)
}