R Observatory: Metrics for DiffXTables version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DiffXTables

0.1.3Package record

Pattern Analysis Across Contingency Tables

0packages dependsuggested by 1

2.9Kdownloads / year

87.2%test coverage

0/13flavors OK

Overview

About

Maintained by Joe SongCRAN page ↗

Statistical hypothesis testing of pattern heterogeneity via differences in underlying distributions across multiple contingency tables. Five tests are included: the comparative chi-squared test (Song et al. 2014) doi:10.1093/nar/gku086 (Zhang et al. 2015) doi:10.1093/nar/gkv358, the Sharma-Song test (Sharma et al. 2021) doi:10.1093/bioinformatics/btab240, the heterogeneity test, the marginal-change test (Sharma et al. 2020) doi:10.1145/3388440.3412485, and the strength test (Sharma et al. 2020) doi:10.1145/3388440.3412485. Under the null hypothesis that row and column variables are statistically independent and joint distributions are equal, their test statistics all follow an asymptotically chi-squared distribution. A comprehensive type analysis categorizes the relation among the contingency tables into type null, 0, 1, and 2 (Sharma et al. 2020) doi:10.1145/3388440.3412485. They can identify heterogeneous patterns that differ in either the first order (marginal) or the second order (differential departure from independence). Second-order differences reveal more fundamental changes than first-order differences across heterogeneous patterns.

Changes in 0.1.3

2021-05-14

1. Updated user manuals, README, DESCRIPTION, and the vignette.

2021-04-28

1. Added the citation to the Bioinformatics paper describing

Sharma-Song test with observed null table marginals in

DESCRIPTION, CITATION, REFERENCES.bib, and README.md files.

2. Introduced a boolean parameter to compensate the issue of Cochran's

condition of samples value less than 5 in any cell.

2020-12-24

1. Updated DESCRIPTION

2. Introduced null.table.marginal parameter to use the

sharma.song.test with observed and uniform marginal null

Show all changes in 0.1.3Hide the rest of the changes in 0.1.3

population.

3. No longer using the correction of normalized frequency table A

inside function get.e.mat()

4. Added test cases for the uniform marginal null tables.

5. Added test cases for parameter compensated parameter.

6. Updated the user manual for sharma.song.test() function.

7. Added full citation information and DOI number for the

first-order marginal change test ACM paper (Sharma et al, 2020)

in DESCRIPTION, CITATION, REFERENCES.bib, and README.md files.

8. stats::chisq.test() is no longer called inside function

chisq.test.stat(). This reduce the overhead in chisq.test(), as we

only need to compute the Pearson chi-squared test statistic.

2020-12-16

1. Created version 0.1.3 from 0.1.2

From NEWS in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("DiffXTables", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-diffxtables

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-DiffXTables

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-DiffXTables

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13NOTE

Check messages

NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

checkRd: (-1) simulate_diff_tables.Rd:72: Lost braces; missing escapes or markup?
    72 |   {The Sharma-Song test} {\code{\link[DiffXTables]{sharma.song.test}}}
       |   ^
checkRd: (-1) simulate_diff_tables.Rd:74: Lost braces; missing escapes or markup?
    74 |   {The comparative chi-squared test} {\code{\link[DiffXTables]{cp.chisq.test}}}
       |   ^
checkRd: (-1) simulate_diff_tables.Rd:76: Lost braces; missing escapes or markup?
    76 |   {The heterogeneity test} {\code{\link[DiffXTables]{heterogeneity.test}}}
       |   ^

CRAN check page ↗

Slowest check: 1.2 min · r-devel-windows-x86_64

Status changes

NOTE13 NOTENow
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMEYes · 390 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.1.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 7
Examples that run: 100%7 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 86% with a bibliography file

Vignettes (1)

Using the 'DiffXTables' R package to detect heterogeneity HTML

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #15,267 · ~8/day · ~238/mo

Releases R versions

Daily download trend is not available in this view yet.

29630 days

79890 days

2.9K1 year

Compare downloads with other packages →

Also on75 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing DiffXTables adds 5 packages (4 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, rbibutils 1.1 MB, pander 387 KB.

Depends (2)

R >= 3.0pander

Imports (1)

Rdpack

LinkingTo (0)

none

Suggests (5)

Ckmeans.1d.dp FunChisq knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

FunChisq

How these are counted

Code & Tests

People & History

People (2)

Joe Song

Author, Maintainer since 0.0.1 (2019)

Ruby Sharma

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.3Latest
record
2021-05-16 · current release · diff ↗
0.1.1
record
2020-08-16 · diff ↗ ·
added 3 exports
marginal.change.test, strength.test, type.analysis
R
R 4.0.0 released · 2020-04-24
0.1.0
record
2020-03-20 · diff ↗ ·
added 1 export
simulate_diff_tables
0.0.2
record
2019-11-12 · diff ↗
0.0.1
record
2019-11-04
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-11-04
Total releases: 5 / 7 yrs
License: LGPL (>= 3) OSI
Minimum R: ≥ 3.0
Download size: 126 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DiffXTables")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/nar/gku086, 10.1093/nar/gkv358, 10.1145/3388440.3412485, 10.1093/bioinformatics/btab240.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DiffXTables version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →