Nothing
suggested_dependent_pkgs <- c("dplyr") knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = all(vapply( suggested_dependent_pkgs, requireNamespace, logical(1), quietly = TRUE )) )
knitr::opts_chunk$set(comment = "#")
This vignette shows how to use {rtables.officer} to export clinical trial results listing created with {rlistings}.
library(rlistings) library(dplyr) library(rtables.officer) lsting <- as_listing( df = head(formatters::ex_adae, n = 50), key_cols = c("USUBJID", "ARM"), disp_cols = c("AETOXGR", "AEDECOD", "AESEV"), main_title = "Listing of Adverse Events (First 50 Records)", main_footer = "Source: formatters::ex_adae example dataset", add_trailing_sep = "ARM" # for readability adds a space line between differen ARMs )
1b. Decorations (optional)
# 1. Add Subtitles and Provenance Footer subtitles(lsting) <- c( "Subset: Treatment-Emergent Events", "Protocol: XYZ-123" ) prov_footer(lsting) <- c( paste("R Version:", R.version.string), paste("rlistings Version:", packageVersion("rlistings")), paste("Generated on:", Sys.time()), # Use current time "File: your_script_name.R" # Add script name if applicable )
flextable
and Export to Word
Convert the table to a flextable
object and export it to a Word document:flx_res <- tt_to_flextable(lsting) # Create a temporary file for the output tf <- tempfile(fileext = ".docx") export_as_docx(lsting, file = tf, section_properties = section_properties_default(orientation = "landscape") ) flx_res
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