Package: BiMaUmisc 0.2.1
BiMaUmisc: BiMaU Miscellaneous
Contains a function to plot publication-ready survival curves using the Kaplan-Meier method (1958) <doi:10.2307/2281868>, a function to format p-values, and a function to automatically select statistical tests for comparing quantitative variables between groups, which are useful for repetitive analyses. BiMaU stands for the Biostatistics and Mathematics Research Unit at the Sant Joan de Déu - Pediatric Cancer Center Barcelona <https://github.com/BiMaU-PCCB>.
Authors:
BiMaUmisc_0.2.1.tar.gz
BiMaUmisc_0.2.1.zip(r-4.7-any)BiMaUmisc_0.2.1.zip(r-4.6-any)BiMaUmisc_0.2.1.zip(r-4.5-any)
BiMaUmisc_0.2.1.tgz(r-4.6-any)BiMaUmisc_0.2.1.tgz(r-4.5-any)
BiMaUmisc_0.2.1.tar.gz(r-4.7-any)BiMaUmisc_0.2.1.tar.gz(r-4.6-any)
BiMaUmisc_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BiMaUmisc/json (API)
| # Install 'BiMaUmisc' in R: |
| install.packages('BiMaUmisc', repos = c('https://bimau-pccb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bimau-pccb/bimaumisc/issues
Pkgdown/docs site:https://bimau-pccb.github.io
Last updated from:b53ef55c3a. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 142 | ||
| source / vignettes | OK | 277 | ||
| linux-release | NOTE | 140 | ||
| macos-release | NOTE | 144 | ||
| macos-oldrel | NOTE | 108 | ||
| windows-devel | NOTE | 97 | ||
| windows-release | NOTE | 110 | ||
| windows-oldrel | NOTE | 105 | ||
| wasm-release | OK | 116 |
Exports:find.testshow.psurvival.plot
Dependencies:base64encbslibcachemclidigestevaluateexamsfastmapfontawesomefshighrhtmltoolsjquerylibjsonliteknitrlatex2explatticelifecycleMatrixmemoisemimeplotfunctionsR6rappdirsrlangrmarkdownsasssurvivaltinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Automatically select statistical tests for quantitative variables | find.test |
| Format _p_-values for display | show.p |
| Plot survival curves | survival.plot |
