Package: tidytlg 0.1.5
Konrad Pagacz
tidytlg: Create TLGs using the 'tidyverse'
Generate tables, listings, and graphs (TLG) using 'tidyverse.' Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
Authors:
tidytlg_0.1.5.tar.gz
tidytlg_0.1.5.zip(r-4.5)tidytlg_0.1.5.zip(r-4.4)tidytlg_0.1.5.zip(r-4.3)
tidytlg_0.1.5.tgz(r-4.4-any)tidytlg_0.1.5.tgz(r-4.3-any)
tidytlg_0.1.5.tar.gz(r-4.5-noble)tidytlg_0.1.5.tar.gz(r-4.4-noble)
tidytlg_0.1.5.tgz(r-4.4-emscripten)tidytlg_0.1.5.tgz(r-4.3-emscripten)
tidytlg.pdf |tidytlg.html✨
tidytlg/json (API)
NEWS
# Install 'tidytlg' in R: |
install.packages('tidytlg', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pharmaverse/tidytlg/issues
- cdisc_adae - ADAE data created from subsetting the CDISC ADAE dataset
- cdisc_adlb - ADLB data created from subsetting the CDISC ADLB dataset
- cdisc_adsl - ADSL data created from subsetting the CDISC ADSL with 15 subjects
- cdisc_advs - ADVS data created from subsetting the CDISC ADVS dataset
- column_metadata - Metadata describing table column layouts
- table_metadata - Metadata describing the data, functions and arguments needed to produce your results.
Last updated 4 months agofrom:53654bce27. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 30 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 30 2024 |
R-4.4-mac | OK | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
Exports:add_bottom_bordersadd_formatadd_indentadd_newrowsbind_tablechar2factorcol_bordersfreqgenerate_resultsgentlgnested_freqno_bordersreplace_na_with_blankrmdpstitleroundSASrow_bordersingle_borderspanning_bordersspanning_headersstatlisttidytlg_metadatatidytlg_titlestlgsetupunivar
Dependencies:assertthatbase64enccachemcellrangerclicolorspacecommonmarkcpp11crayondigestdplyrfansifarverfastmapforcatsgenericsggplot2gluegtablehmshtmltoolshuxtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmunsellnlmepillarpkgconfigpngprettyunitsprogresspurrrR6RColorBrewerreadxlrematchrlangrstudioapiscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxml2
Column Metadata & How tidytlg Sets Up Your Data Using tlgsetup
Rendered fromtlgsetup.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-04-22
Started: 2022-12-12
Frequency Analysis
Rendered fromfreq.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-04-22
Started: 2022-12-12
Get Started
Rendered fromtidytlg.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-07-02
Started: 2022-12-12
Manipulating tbl data frame
Rendered fromtbl_manipulation.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-04-22
Started: 2022-12-12
Tips & Tricks: Including Symbols, Superscripts, Subscripts & Line Breaks
Rendered fromsymbols.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-04-22
Started: 2022-12-12
Univariate Statistics Analysis
Rendered fromunivar.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2024-04-22
Started: 2022-12-12