CODEWITHSUNDEEP
rsizeeffectgtsummary
aylaxla
aylaxla

Reputation: 23

How to add the effect size in the summary table using R package “gtsummary”?

I'm trying to add the effective size of the wilcox test to a summary table using the add_stat function of the "gtsummary" package. My data looks like:

Type <- c ("FND", "FND", "FND", "FND", "FND", "FND", "FND", "FND","FND", "FND",
                           "HC","HC","HC","HC","HC","HC","HC","HC","HC","HC")
Component1 <- c(2,3,2,2,1,0,1,2,1,2,1,0,0,0,1,1,2,0,1,1)
Component2 <- c(1,3,3,3,2,0,2,3,3,2,2,0,0,0,0,1,2,1,1,0)
Component3 <- c(0,1,3,2,0,1,2,2,0,1,0,0,1,1,0,1,1,0,0,0)

data_components <- data.frame(Type, Component1, Component2, Component3)

data_components_tbl <- data_components %>%
  tbl_summary(
    by = Type,
    type = list(Component1 ~ "continuous", Component2 ~ "continuous", Component3 ~ "continuous"), #define Components as continuous for analyse mean
    statistic = list(all_continuous() ~ "{mean} ({sd})",
                     all_categorical() ~ "{n} / {N} ({p}%)"),
    digits = all_continuous() ~ 2,
    label = list(Component1 ~ "Subjective sleep quality",
                 Component2 ~ "Sleep latency",
                 Component3 ~ "Sleep duration")
  ) %>%
  add_p(pvalue_fun = ~style_pvalue(.x, digits = 2)) %>%
  modify_header(update = list(label ~ "**Variable**")) %>%
  modify_spanning_header(c("stat_1", "stat_2") ~ "**Group**") %>%
  modify_footnote(
    all_stat_cols() ~ "Mean (SD)")%>%
  bold_labels()
data_components_tbl

I've tried with this function:

my_ES_test <- function(data, variable, by, ...) {
  (data%>%  
     rstatix::wilcox_effsize(data[[variable]] ~ as.factor(data[[by]])))$effsize
}


data_components_tbl <- data_components %>%
  tbl_summary(
    by = Type,
    type = list(Component1 ~ "continuous", Component2 ~ "continuous", Component3 ~ "continuous"), #define Components as continuous for analyse mean
    statistic = list(all_continuous() ~ "{mean} ({sd})",
                     all_categorical() ~ "{n} / {N} ({p}%)"),
    digits = all_continuous() ~ 2)%>%
  add_p(pvalue_fun = ~style_pvalue(.x, digits = 2)) %>%
  add_stat(fns = everything() ~ my_ES_test()) %>%
  modify_header(update = list(label ~ "**Variable**")) %>%
  modify_spanning_header(c("stat_1", "stat_2") ~ "**Group**") %>%
  modify_footnote(
    all_stat_cols() ~ "Mean (SD)")%>%
  bold_labels()
data_components_tbl

I think I didn't use the right syntax for the my_ES_test function. Is there any way to do this?

Thanks for help! Dear aylaxla

Upvotes: 2

Views: 1046

Answers (1)

Daniel D. Sjoberg
Daniel D. Sjoberg

Reputation: 11595

I made a slight modification to your ES function. See below!

library(gtsummary)
packageVersion("gtsummary")
#> [1] '1.4.0.9000'

my_ES_test <- function(data, variable, by, ...) {
  rstatix::wilcox_effsize(data, as.formula(glue::glue("{variable} ~ {by}")))$effsize
}
my_ES_test(trial, "age", "trt")
#> Effect size (r) 
#>      0.02633451

tbl <-
  trial %>%
  select(age, marker, trt) %>%
  tbl_summary(
    by = trt, 
    statistic = all_continuous() ~ "{mean} ({sd})",
    missing = "no"
  ) %>%
  add_stat(fns = all_continuous() ~ my_ES_test) %>%
  modify_header(add_stat_1 ~ "**Wilcoxon ES**")

enter image description here Created on 2021-04-26 by the reprex package (v2.0.0)

Upvotes: 2

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