Package: tgstat 2.4.0
Aviezer Lifshitz
tgstat: Amos Tanay's Group High Performance Statistical Utilities
A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Authors:
tgstat_2.4.0.tar.gz
tgstat_2.4.0.tgz(r-4.6-x86_64)tgstat_2.4.0.tgz(r-4.6-arm64)tgstat_2.4.0.tgz(r-4.5-x86_64)tgstat_2.4.0.tgz(r-4.5-arm64)
tgstat_2.4.0.tar.gz(r-4.7-arm64)tgstat_2.4.0.tar.gz(r-4.7-x86_64)tgstat_2.4.0.tar.gz(r-4.6-arm64)tgstat_2.4.0.tar.gz(r-4.6-x86_64)
tgstat_2.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tgstat/json (API)
NEWS
| # Install 'tgstat' in R: |
| install.packages('tgstat', repos = c('https://tanaylab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tanaylab/tgstat/issues
Pkgdown/docs site:https://tanaylab.github.io
algorithms-implementedcorrelationknnstatisticsopenblascpp
Last updated from:a13c5efda9. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 137 | ||
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 192 | ||
| linux-release-arm64 | OK | 127 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 87 | ||
| macos-release-x86_64 | OK | 220 | ||
| macos-oldrel-arm64 | OK | 110 | ||
| macos-oldrel-x86_64 | OK | 179 | ||
| windows-devel | OK | 178 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 106 |
Exports:tgs_chi2tgs_cortgs_cor_knntgs_disttgs_finitetgs_graphtgs_graph_covertgs_graph_cover_resampletgs_knntgs_matrix_tapply
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Vectorized chi-squared test for 2x2 contingency tables | tgs_chi2 |
| Calculates correlation or auto-correlation | tgs_cor tgs_cor_knn |
| Calculates distances between the matrix rows | tgs_dist |
| Checks whether all the elements of the vector are finite | tgs_finite |
| Builds directed graph of correlations | tgs_graph |
| Clusters directed graph | tgs_graph_cover |
| Clusters directed graph multiple times with randomized sample subset | tgs_graph_cover_resample |
| Returns k highest values of each column | tgs_knn |
| For each matrix row apply a function over a ragged array | tgs_matrix_tapply |
