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Summary table for comparative analysis between two numeric variables

stat_two_num.Rd

Create a summary table with t.test: statistic, p-value and IC(95%).

Usage

stat_two_num(df, grp_var, num_vars)

Arguments

df

A single data.frame

grp_var

A character variable from a data.frame

num_vars

One or more variables from a data.frame

Value

A gt table.

Examples


n <- 20

set.seed(123);df <-
 data.frame(
   grp_var = sample(paste("group", letters[1:2]),size = n,replace = TRUE),
   num_var1 = rnorm(n),
   num_var2 = abs(rnorm(n))
 )

stat_two_num(df,grp_var,c(num_var1,num_var2))
#> Joining with `by = join_by(name)`
#> Joining with `by = join_by(name)`



  
Variables
      group a n = 11
      group b n = 9
      Statistic
      P-value
      CI (95%)
    
num_var11
-0.04 (0.95)
-0.19 (1.14)
0.297
0.7705
(-0.868; 1.151)
num_var22
0.47 (0.52)
0.69 (0.48)
48.000
0.9408
(-0.411; 0.405)
1 Mean (SD) - Student's t-test
    
2 Median (IQR) - Wilcoxon test