I would like to make a table in gtsummary with the variables listed in this order from top to bottom:

library(tidyverse) library(gtsummary) data <- tibble( id = c(1,2,3,4,5), report = c(“A,B”,”A”,”B,C”,”A,B,C”,”A,B,C”)) %>% mutate(b_present = ifelse(str_detect(report, “B”), “Yes”, “No”)) n_patients <- nrow(data) # number of patients, not reports custom_percent <- function(data, …) { n <- nrow(data) pct <- round(100*n/n_patients, 1) dplyr::tibble(pt_n = n, pt_pct = pct) } data %>% separate_rows(report, sep = “,”) %>% group_by(b_present, report) […]

I am working with a large data set, and in the following example, I would like to indent the numerical variables (Scores, Time, and Grade), bold the levels of color (“Blue”, “Green”, etc.), provide p-values with 3 digits, and bold those p-values < 0.5. Thanks!

Anyone have thoughts on how to get the v1.fac Green category to appear in the table, despite having 0 obs? I would like all 4 colors to appear. Here’s my latest attempt:

I am struggling to modify formatting of gtsummary table to allow presentation of results for each category (species) by their region (both in first column) across seasons (columns)

Summary statistics in a paper

I often find myself changing the labels of a gtsummary object post function:

Hy everyone, i need to make a table with add_overall and add_ci.

I’m trying to create a tbl_summary that has a strata category, and within each strata category, two seperate categorical (likely binary) variables. Here’s an example of how I want the table to be laid out, however, the n/% for d are placeholders and not true to my example dataset.

I need to prepare a clinical characteristics table showing not just the frequency of one manifestation of a dichotomous variable, but both on the same line seperated by a / (slash).