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Additional tests for gtsummary

Source: R/gtsummary_tests.R
gtsummary_test.Rd

See gtsummary::tests for more details on how defining custom tests. fisher.simulate.p() implements Fisher test with computation of p-values by Monte Carlo simulation in larger than 2×2 tables (see stats::fisher.test()).

Usage

fisher.simulate.p(data, variable, by, ...)

Arguments

data

A data set.

variable

Name of the variable to test.

by

Name of the by variable.

...

Unused.

Examples

library(gtsummary)
trial |>
  tbl_summary(include = grade, by = trt) |>
  add_p(test = all_categorical() ~ "fisher.simulate.p")



  
Characteristic
      Drug A

N = 981		
      Drug B

N = 1021		
      p-value2
    
Grade




>0.9
    I
35 (36%)
33 (32%)

    II
32 (33%)
36 (35%)

    III
31 (32%)
33 (32%)

1 n (%)
    
2 Fisher’s Exact Test for Count Data with simulated p-value
(based on 2000 replicates)