## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", warning = FALSE, message = FALSE ) library(TernTables) options(tibble.width = Inf) # show all columns in printed tibbles # Output directory for exported .docx files. # Override by setting options(TernTables.vignette_outdir = "/your/path") before rendering. out_dir <- getOption("TernTables.vignette_outdir", default = tempdir()) ## ----load-data---------------------------------------------------------------- data(tern_colon) ## ----ternP-run, eval = FALSE-------------------------------------------------- # # Load a messy CSV shipped with the package # path <- system.file("extdata/csv", "tern_colon_messy.csv", # package = "TernTables") # raw <- readr::read_csv(path, show_col_types = FALSE) # result <- ternP(raw) # # The print method fires automatically, summarising every transformation applied. ## ----ternP-access, eval = FALSE----------------------------------------------- # result$clean_data # Cleaned, analysis-ready tibble # result$sparse_rows # Rows with >50% NA (retained, not removed — review these) # result$feedback # Named list; NULL elements mean no action was taken ## ----ternP-doc, eval = FALSE-------------------------------------------------- # write_cleaning_doc(result, # filename = file.path(out_dir, "cleaning_summary.docx")) ## ----ternP-handoff, eval = FALSE---------------------------------------------- # tbl <- ternG(result$clean_data, # exclude_vars = c("ID"), # group_var = "Recurrence") ## ----ternD-example, results = "hide"------------------------------------------ tbl_descriptive <- ternD( data = tern_colon, exclude_vars = c("ID"), output_docx = file.path(out_dir, "Tern_descriptive.docx"), methods_filename = file.path(out_dir, "TernTables_methods.docx"), category_start = c( "Patient Demographics" = "Age (yr)", "Surgical Findings" = "Colonic Obstruction", "Tumor Characteristics" = "Positive Lymph Nodes (n)", "Outcomes" = "Recurrence" ) ) tbl_descriptive ## ----ternD-figure, echo=FALSE, fig.align="center", out.width="45%"------------ knitr::include_graphics("figures/tern_descriptive.png") ## ----ternG-2group, results = "hide"------------------------------------------- tbl_2group <- ternG( data = tern_colon, exclude_vars = c("ID"), group_var = "Recurrence", output_docx = file.path(out_dir, "Tern_2_group.docx"), methods_filename = file.path(out_dir, "TernTables_methods.docx"), OR_col = TRUE, insert_subheads = TRUE, category_start = c( "Patient Demographics" = "Age (yr)", "Surgical Findings" = "Colonic Obstruction", "Tumor Characteristics" = "Positive Lymph Nodes (n)", "Treatment Details" = "Treatment Arm" ) ) tbl_2group ## ----ternG-3group, results = "hide"------------------------------------------- tbl_3group <- ternG( data = tern_colon, exclude_vars = c("ID"), group_var = "Treatment_Arm", group_order = c("Observation", "Levamisole", "Levamisole + 5FU"), output_docx = file.path(out_dir, "Tern_3_group.docx"), methods_filename = file.path(out_dir, "TernTables_methods.docx"), consider_normality = "ROBUST", post_hoc = TRUE, category_start = c( "Patient Demographics" = "Age (yr)", "Surgical Findings" = "Colonic Obstruction", "Tumor Characteristics" = "Positive Lymph Nodes (n)", "Outcomes" = "Recurrence" ) ) tbl_3group ## ----caption-example, eval = FALSE-------------------------------------------- # tbl_descriptive <- ternD( # data = tern_colon, # exclude_vars = c("ID"), # output_docx = file.path(out_dir, "Tern_descriptive.docx"), # table_caption = "Table 1. Baseline patient characteristics." # ) ## ----footnote-example, eval = FALSE------------------------------------------- # tbl_2group <- ternG( # data = tern_colon, # exclude_vars = c("ID"), # group_var = "Recurrence", # OR_col = TRUE, # output_docx = file.path(out_dir, "Tern_2_group.docx"), # table_caption = "Table 2. Characteristics by recurrence status.", # table_footnote = c( # "Abbreviations: OR, odds ratio; CI, confidence interval.", # "\u2020 P values from chi-square or Wilcoxon rank-sum test.", # "\u2021 ORs from unadjusted logistic regression." # ) # ) ## ----methods-doc, eval = FALSE------------------------------------------------ # write_methods_doc( # tbl = tbl_2group, # filename = file.path(out_dir, "Tern_methods.docx") # )