RG2

Response Graphs by Treatment Arms

---

Setup

The same setup as in RG1 is used.

For ggplot() used in all analyses, we add by = BMEASIFL in the aesthetics to support the calculation of proportions using geom_text(stat = "prop").

library(tern)
library(ggplot2.utils)
library(dplyr)

adrs <- random.cdisc.data::cadrs %>%
  df_explicit_na() %>%
  mutate(AVALC = ordered(AVALC, levels = c("<Missing>", "NE", "PD", "SD", "PR", "CR"))) %>%
  filter(PARAMCD == "BESRSPI", BMEASIFL == "Y")

Plot

The facet_grid() layer from ggplot2 can be used to plot response by treatment arm and the margins argument can be used to produce the (all) column.

graph <- ggplot(adrs, aes(BMEASIFL, fill = AVALC, by = BMEASIFL)) +
  geom_bar(aes(BMEASIFL), position = "fill") +
  geom_text(stat = "prop", position = position_fill(.5)) +
  scale_y_continuous(labels = scales::percent) +
  ylab("%") +
  facet_grid(. ~ ARM, margins = TRUE)

graph

Session Info

sessionInfo()

R version 4.5.2 (2025-10-31)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

time zone: Etc/UTC
tzcode source: system (glibc)

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] dplyr_1.2.1         ggplot2.utils_0.3.3 ggplot2_4.0.2      
[4] tern_0.9.10         rtables_0.6.15      magrittr_2.0.5     
[7] formatters_0.5.12  

loaded via a namespace (and not attached):
 [1] generics_0.1.4           tidyr_1.3.2              EnvStats_3.1.0          
 [4] stringi_1.8.7            lattice_0.22-9           digest_0.6.39           
 [7] evaluate_1.0.5           grid_4.5.2               RColorBrewer_1.1-3      
[10] fastmap_1.2.0            jsonlite_2.0.0           Matrix_1.7-5            
[13] backports_1.5.1          survival_3.8-6           purrr_1.2.1             
[16] viridisLite_0.4.3        scales_1.4.0             codetools_0.2-20        
[19] Rdpack_2.6.6             cli_3.6.5                ggpp_0.6.0              
[22] nestcolor_0.1.3          rlang_1.2.0              rbibutils_2.4.1         
[25] splines_4.5.2            withr_3.0.2              yaml_2.3.12             
[28] otel_0.2.0               tools_4.5.2              polynom_1.4-1           
[31] checkmate_2.3.4          forcats_1.0.1            ggstats_0.13.0          
[34] broom_1.0.12             vctrs_0.7.2              R6_2.6.1                
[37] lifecycle_1.0.5          stringr_1.6.0            htmlwidgets_1.6.4       
[40] MASS_7.3-65              pkgconfig_2.0.3          pillar_1.11.1           
[43] gtable_0.3.6             glue_1.8.0               xfun_0.57               
[46] tibble_3.3.1             tidyselect_1.2.1         knitr_1.51              
[49] dichromat_2.0-0.1        farver_2.1.2             htmltools_0.5.9         
[52] labeling_0.4.3           rmarkdown_2.31           random.cdisc.data_0.3.16
[55] compiler_4.5.2           S7_0.2.1