continuous_2g: Bivariate analysis for 2 groups

In BiVariAn: Bivariate Automatic Analysis

Bivariate analysis for 2 groups

Description

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

Usage

continuous_2g(
  data,
  groupvar,
  ttest_args = list(),
  wilcox_args = list(),
  flextableformat = TRUE
)

Arguments

data	Data frame from which variables will be extracted.
groupvar	Grouping variable as character. 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.

Value

Returns a dataframe or flextable of 2 groups 2 sided Mann Whitney's U or T test, along with Shapiro-Wilk's p values and Levene's p value.

Examples

 df <- mtcars
 df$am <- as.factor(df$am)
 continuous_2g(data = df,
 groupvar = "am",
 flextableformat = FALSE)

# Set names to variables
if(requireNamespace("table1")){
table1::label(df$mpg) <- "Miles per gallon"
table1::label(df$cyl) <- "Number of cylinders"
table1::label(df$disp) <- "Displacement"
table1::label(df$hp) <- "Gross horsepower"
table1::label(df$drat) <- "Rear axle ratio"

continuous_2g(data = df, groupvar = "am", flextableformat = FALSE)
}

BiVariAn documentation built on April 4, 2025, 1:04 a.m.