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:Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]

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✨
DESCRIPTION |NEWS
card.svg |card.png
tgstat/json (API)

# 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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

algorithms-implemented correlation knn statistics openblas cpp

6.84 score 8 stars 1 packages 36 scripts 403 downloads 10 exports 0 dependencies

Last updated from:a13c5efda9. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	180
linux-devel-x86_64	OK	148
source / vignettes	OK	243
linux-release-arm64	OK	182
linux-release-x86_64	OK	147
macos-release-arm64	OK	100
macos-release-x86_64	OK	284
macos-oldrel-arm64	OK	105
macos-oldrel-x86_64	OK	258
windows-devel	OK	64
windows-release	OK	74
windows-oldrel	OK	57
wasm-release	OK	126

Exports:tgs_chi2 tgs_cor tgs_cor_knn tgs_dist tgs_finite tgs_graph tgs_graph_cover tgs_graph_cover_resample tgs_knn tgs_matrix_tapply

Dependencies:

manual

'tgstat' package - Tanay's group statistical utilities | Package Configuration | Use of BLAS Library | Multitasking

Rendered frommanual.Rmdusingknitr::rmarkdown

Last update: 2022-11-25
Started: 2022-04-14

Citation

Development and contributors

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