Closed lchensigma closed 1 month ago
A bug happened!
nex <- 800 # Number of example rows dta <- data.frame( "is_event" = sample(c(TRUE, FALSE), nex, TRUE), "TRT01P" = sample(c("A", "B"), nex, TRUE), "f1" = sample(c("a1", "a2"), nex, TRUE), "f2" = sample(c("x", "y", "z"), nex, TRUE), "BLSTRA" = factor(sample(c("C", "D"), nex, TRUE)), stringsAsFactors = TRUE ) lyt_proportion <- basic_table( ) %>% split_cols_by(var = "TRT01P", ref_group = "A") %>% estimate_proportion( vars = "is_event", table_names = "prop", .labels = c("Response Rate n (%)", "95% CI (Clopper-Pearson)[1]"), method = "clopper-pearson" ) |> estimate_proportion_diff( var_labels = "Stratified Analysis [2]", vars = "is_event", show_labels = "visible", method = "cmh", variables = list(strata = "BLSTRA"), table_names = "est_prop_diff_strat" ) %>% estimate_odds_ratio( vars = "is_event", var_labels = "Stratified OR Analysis [2]", show_labels = "visible", table_names = "est_or_strata", variables = list(arm = "TRT01P", strata = "BLSTRA"), .labels = "Stratified Odds Ratio (95% CI)", .indent_mods = 1L ) result_proportion <- build_table( lyt = lyt_proportion, df = dta ) result_proportion %>% tt_to_flextable()
> sessionInfo() R version 4.3.1 (2023-06-16 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 11 x64 (build 22631) Matrix products: default locale: [1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8 [3] LC_MONETARY=English_United States.utf8 LC_NUMERIC=C [5] LC_TIME=English_United States.utf8 time zone: America/Los_Angeles tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] optimx_2023-10.21 emmeans_1.10.4 forestploter_1.1.2 tern.mmrm_0.3.1 scda_0.1.6 [6] tern_0.9.5 haven_2.5.4 rtables_0.6.9 magrittr_2.0.3 formatters_0.5.9 [11] rstan_2.32.6 StanHeaders_2.32.10 tidybayes_3.0.7 bayesplot_1.11.1 brms_2.21.0 [16] Rcpp_1.0.13 dreamer_3.1.0 DoseFinding_1.2-1 labelled_2.13.0 gt_0.11.0 [21] flextable_0.9.6 broom_1.0.6 readxl_1.4.3 boxr_0.3.6 pander_0.6.5 [26] patchwork_1.3.0 ggprism_1.0.5 gtsummary_2.0.2 ggthemes_5.1.0 plyr_1.8.9 [31] knitr_1.48 lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4 [36] purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1 [41] tidyverse_2.0.0 loaded via a namespace (and not attached): [1] tensorA_0.36.2.1 rstudioapi_0.16.0 jsonlite_1.8.8 TH.data_1.1-2 [5] estimability_1.5.1 nloptr_2.1.1 farver_2.1.2 rmarkdown_2.28 [9] ragg_1.3.3 vctrs_0.6.5 askpass_1.2.0 htmltools_0.5.8.1 [13] distributional_0.5.0 curl_5.2.2 cellranger_1.1.0 pracma_2.4.4 [17] parallelly_1.38.0 sandwich_3.1-1 zoo_1.8-12 uuid_1.2-1 [21] lifecycle_1.0.4 pkgconfig_2.0.3 Matrix_1.6-5 R6_2.5.1 [25] fastmap_1.2.0 rbibutils_2.2.16 numDeriv_2016.8-1.1 digest_0.6.37 [29] colorspace_2.1-1 rprojroot_2.0.4 textshaping_0.4.0 fansi_1.0.6 [33] timechange_0.3.0 abind_1.4-8 compiler_4.3.1 here_1.0.1 [37] fontquiver_0.2.1 withr_3.0.1 backports_1.5.0 inline_0.3.19 [41] QuickJSR_1.3.1 pkgbuild_1.4.4 MASS_7.3-60.0.1 openssl_2.2.1 [45] equatags_0.2.1 loo_2.8.0 tools_4.3.1 zip_2.3.1 [49] glue_1.7.0 mmrm_0.3.12 nlme_3.1-166 grid_4.3.1 [53] checkmate_2.3.2 generics_0.1.3 xslt_1.4.5 gtable_0.3.5 [57] tzdb_0.4.0 data.table_1.16.0 hms_1.1.3 katex_1.4.1 [61] xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 ggdist_3.3.2 [65] posterior_1.6.0 splines_4.3.1 lattice_0.22-6 survival_3.7-0 [69] tidyselect_1.2.1 fontLiberation_0.1.0 fontBitstreamVera_0.1.1 arrayhelpers_1.1-0 [73] gridExtra_2.3 V8_5.0.0 stats4_4.3.1 xfun_0.47 [77] bridgesampling_1.1-2 matrixStats_1.4.1 stringi_1.8.4 yaml_2.3.10 [81] evaluate_1.0.0 codetools_0.2-19 officer_0.6.6 gdtools_0.4.0 [85] cli_3.6.3 RcppParallel_5.1.9 xtable_1.8-4 systemfonts_1.1.0 [89] Rdpack_2.6.1 munsell_0.5.1 coda_0.19-4.1 svUnit_1.0.6 [93] parallel_4.3.1 rstantools_2.4.0 Brobdingnag_1.2-9 mvtnorm_1.3-1 [97] scales_1.3.0 rlang_1.1.4 cowplot_1.1.3 multcomp_1.4-26
Stratified Analysis [2] Difference in Response rate (%) 5.5 95% CI (CMH, without correction) (-1.4, 12.4) p-value (Cochran-Mantel-Haenszel Test) 0.1183 is_event Stratified Odds Ratio (95% CI) 1.25 (0.95 - 1.65)
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