Package: tidydr 0.0.5.001

Guangchuang Yu

tidydr: Unify Dimensionality Reduction Results

Dimensionality reduction (DR) is widely used in many domain for analyzing and visualizing high-dimensional data. 'tidydr' provides uniform output and is compatible with multiple methods, including 'prcomp', 'mds', 'Rtsne'. etc.

Authors:Guangchuang Yu [aut, cre, cph], Shuangbin Xu [aut], Erqiang Hu [ctb]

tidydr_0.0.5.001.tar.gz
tidydr_0.0.5.001.zip(r-4.5)tidydr_0.0.5.001.zip(r-4.4)tidydr_0.0.5.001.zip(r-4.3)
tidydr_0.0.5.001.tgz(r-4.4-any)tidydr_0.0.5.001.tgz(r-4.3-any)
tidydr_0.0.5.001.tar.gz(r-4.5-noble)tidydr_0.0.5.001.tar.gz(r-4.4-noble)
tidydr_0.0.5.001.tgz(r-4.4-emscripten)tidydr_0.0.5.001.tgz(r-4.3-emscripten)
tidydr.pdf |tidydr.html✨
tidydr/json (API)
NEWS

# Install 'tidydr' in R:
install.packages('tidydr', repos = c('https://yulab-smu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yulab-smu/tidydr/issues

On CRAN:

6.35 score 13 stars 1 packages 58 scripts 784 downloads 9 exports 36 dependencies

Last updated 9 months agofrom:344e23531d. Checks:ERROR: 1 OK: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:aesautoplotavailable_methodsdrdr_extractelement_line2nktheme_drtheme_noaxis

Dependencies:cliclustercolorspacedigestdplyrfansifarverfsgenericsggfunggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithryulab.utils

Unify Dimensionality Reduction Results

Guangchuang Yu School of Basic Medical Sciences, Southern Medical University

Rendered fromtidydr.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2022-03-16
Started: 2021-12-07