Package: dslice 1.2.2

dslice: Dynamic Slicing

Dynamic slicing is a method designed for dependency detection between a categorical variable and a continuous variable. It could be applied for non-parametric hypothesis testing and gene set enrichment analysis.

Authors:Chao Ye [aut, cre], Bo Jiang [aut]

dslice_1.2.2.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dslice/json (API)

# Install 'dslice' in R:

install.packages('dslice', repos = c('https://yechao1009.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ds_type_one_error - Relationship between penalty and Type I error
gsa_exp - Gene expression matrix in gene set analysis
gsa_label - Sample labels in gene set analysis
gsa_set - Gene set list in gene set analysis

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.38 score 24 scripts 355 downloads 17 exports 18 dependencies

Last updated from:33cd96105a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	170
linux-devel-x86_64	OK	147
source / vignettes	OK	201
linux-release-arm64	OK	137
linux-release-x86_64	OK	135
macos-release-arm64	OK	133
macos-release-x86_64	OK	272
macos-oldrel-arm64	OK	149
macos-oldrel-x86_64	OK	326
windows-devel	OK	153
windows-release	OK	157
windows-oldrel	OK	150
wasm-release	OK	148

Exports:bfslice_c bfslice_eqp_c bfslice_eqp_u bfslice_u ds_1 ds_eqp_1 ds_eqp_k ds_gsa ds_k ds_test export_res load_cls load_gct load_gmt rank_by_s2n relabel slice_show

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer Rcpp rlang S7 scales vctrs viridisLite withr

dslice user manual

Introduction | Running dslice | Dynamic slicing model

Rendered fromdslice.Rnwusingutils::Sweave

Last update: 2023-11-22
Started: 2014-04-24

Citation

Readme and manuals

Help Manual

Help page	Topics
Dependency and conditional dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.	bfslice_c
Dependency and conditional dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.	bfslice_eqp_c
Dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor with given size of each group.	bfslice_eqp_u
Dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.	bfslice_u
Non-parametric one-sample hypothesis testing via dynamic slicing	ds_1
Non-parametric one-sample hypothesis testing via dynamic slicing	ds_eqp_1
Dependency detection between level k (k > 1) categorical variable and continuous variable	ds_eqp_k
Gene set analysis via dynamic slicing	ds_gsa
Dependency detection between level k (k > 1) categorical variable and continuous variable	ds_k
Hypothesis testing via dynamic slicing	ds_test
Relationship between penalty and Type I error	ds_type_one_error
Export gene set analysis result	export_res
Gene expression matrix in gene set analysis	gsa_exp
Sample labels in gene set analysis	gsa_label
Gene set list in gene set analysis	gsa_set
Load phenotype file	load_cls
Load gene expression file	load_gct
Load gene set file	load_gmt
Ranking genes by signal to noise ratio	rank_by_s2n
Reassigning values of categorical variable	relabel
Show the slicing result	slice_show

Package: dslice 1.2.2

dslice: Dynamic Slicing

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)