In one line of code we can summarize the overall demographics of the dataset! There are four primary ways to customize the output of the regression model table. tables completed with {gtsummary} functions. Most arguments to tbl_summary() and tbl_regression() require formula syntax: select variables ~ specify what you want to do. tables with sensible defaults. The inline_text function has arguments for rounding the p-value (pvalue_fun) and the coefficients and confidence interval (estimate_fun). In this vignette well be using the trial function arguments. A tbl_uvregression object . Common model types detected and appropriate header added with footnote. Logical indicating whether or not to include a confidence table. Summarize data frames or tibbles easily in R. Perfect for presenting descriptive statistics, comparing group demographics (e.g creating a Table 1 for medical journals), and more. To start, a quick note on the {magrittr} packages pipe function, %>%. @parmsam, customizable capabilities. @matthieu-faron, @akefley, It is also possible to Error z value Pr(>|z|), #> (Intercept) -1.42184501 0.65711995 -2.1637526 0.03048334, #> age 0.01935700 0.01149333 1.6841945 0.09214409, #> stageT2 -0.56765609 0.44328677 -1.2805618 0.20034764, #> stageT3 -0.09619949 0.45702787 -0.2104893 0.83328578, #> stageT4 -0.26797315 0.45364355 -0.5907130 0.55471272, #> gradeII -0.17315419 0.40255106 -0.4301422 0.66709221, #> gradeIII 0.04434059 0.38892269 0.1140087 0.90923087, # format results into data frame with global p-values, #> [1] "table_body" "table_header" "n" "model_obj" "inputs", #> [6] "call_list" "gt_calls" "kable_calls" "fmt_fun", #> gt::cols_align(align = 'center') %>% gt::cols_align(align = 'left', columns = gt::vars(label)), #> gt::fmt_missing(columns = gt::everything(), missing_text = ''), #> gt::fmt_missing(columns = gt::vars(estimate, ci), rows = row_ref == TRUE, missing_text = '---'), #> gt::tab_style(style = gt::cell_text(indent = gt::px(10), align = 'left'),locations = gt::cells_body(columns = gt::vars(label), rows = row_type != 'label')), # overrides the default that shows p-values for each level, # adjusts global p-values for multiple testing (default method: FDR), # bold p-values under a given threshold (default 0.05), # now bold q-values under the threshold of 0.10, Formatting and rounding for regression coefficients, If you experience issues installing {gt} on Windows, install, Add additional data/information to a summary table with, Modify summary table appearance with the {gtsummary} functions, Modify table appearance with {gt} package functions. @albertostefanelli, @PaulC91, The pattern argument syntax follows glue::glue() format with referenced R objects being inserted between curly brackets. Default is everything(). @benediktclaus, You can install "gam": Uses the internal tidier tidy_gam() to print both parametric and smooth terms.

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