Package: tidydr 0.0.6

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_0.0.6.tar.gz
tidydr_0.0.6.zip(r-4.7)tidydr_0.0.6.zip(r-4.6)tidydr_0.0.6.zip(r-4.5)
tidydr_0.0.6.tgz(r-4.6-any)tidydr_0.0.6.tgz(r-4.5-any)
tidydr_0.0.6.tar.gz(r-4.7-any)tidydr_0.0.6.tar.gz(r-4.6-any)
tidydr_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tidydr/json (API)
NEWS

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

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

On CRAN:

Conda:

9.77 score 15 stars 58 packages 163 scripts 23k downloads 9 exports 31 dependencies

Last updated from:14c7b7a80e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK206
linux-release-x86_64OK141
macos-release-arm64OK130
macos-oldrel-arm64OK130
windows-develOK101
windows-releaseOK93
windows-oldrelOK89
wasm-releaseOK118

Exports:aesautoplotavailable_methodsdrdr_extractelement_line2nktheme_drtheme_noaxis

Dependencies:cliclustercpp11digestdplyrfarverfsgenericsggfunggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6rappdirsRColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithryulab.utils

Unify Dimensionality Reduction Results

Guangchuang Yu School of Basic Medical Sciences, Southern Medical University

Rendered fromtidydr.Rmdusingknitr::rmarkdownon May 06 2026.

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