KG2
Kaplan-Meier Graphs by Treatment Arm
KG
The same setup as in KG1 is used.
We can produce the basic plot using the g_km()
function from tern
.
We can also choose to annotate the plot with the median survival time for each of the treatment arms using the annot_surv_med = TRUE
option.
R version 4.4.1 (2024-06-14)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 22.04.4 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-r0.3.20.so; LAPACK version 3.10.0
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_1.1.4 tern_0.9.5 rtables_0.6.9 magrittr_2.0.3
[5] formatters_0.5.9
loaded via a namespace (and not attached):
[1] Matrix_1.7-0 gtable_0.3.5 jsonlite_1.8.8
[4] compiler_4.4.1 tidyselect_1.2.1 stringr_1.5.1
[7] tidyr_1.3.1 splines_4.4.1 scales_1.3.0
[10] yaml_2.3.10 fastmap_1.2.0 lattice_0.22-6
[13] ggplot2_3.5.1 R6_2.5.1 labeling_0.4.3
[16] generics_0.1.3 knitr_1.48 forcats_1.0.0
[19] rbibutils_2.2.16 htmlwidgets_1.6.4 backports_1.5.0
[22] checkmate_2.3.2 tibble_3.2.1 munsell_0.5.1
[25] pillar_1.9.0 rlang_1.1.4 utf8_1.2.4
[28] broom_1.0.6 stringi_1.8.4 xfun_0.47
[31] cli_3.6.3 withr_3.0.1 Rdpack_2.6.1
[34] digest_0.6.37 grid_4.4.1 cowplot_1.1.3
[37] lifecycle_1.0.4 vctrs_0.6.5 evaluate_0.24.0
[40] glue_1.7.0 farver_2.1.2 codetools_0.2-20
[43] survival_3.7-0 random.cdisc.data_0.3.15 fansi_1.0.6
[46] colorspace_2.1-1 purrr_1.0.2 rmarkdown_2.28
[49] tools_4.4.1 pkgconfig_2.0.3 htmltools_0.5.8.1
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Copyright 2023, Hoffmann-La Roche Ltd.