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handyFunctions: Useful Functions for Handfully Manipulating and Analyzing Data with Data.frame Format

Some useful functions for simply manipulating and analyzing data with data.frame format. It mainly includes the following sections: ReformatDataframe (reformat dataframe with the modifiers), InteractDataframe, and Post-VCF (for downstream analysis for data generated from 'vcftools' Petr et al (2011) <doi:10.1093/bioinformatics/btr330> or 'plink' Chang et al (2015) <doi:10.1186/s13742-015-0047-8>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: ggplot2 (≥ 3.0), methods, rlang, stats (≥ 3.0), stringr (≥ 1.0)
Suggests: covr, testthat (≥ 3.0.0)
Published: 2022-08-22
DOI: 10.32614/CRAN.package.handyFunctions
Author: Hongfei Liu
Maintainer: Hongfei Liu <lhf563 at 126.com>
BugReports: https://github.com/LuffyLouis/handyFunctions/issues
License: MIT + file LICENSE
URL: https://github.com/LuffyLouis/handyFunctions
NeedsCompilation: no
Materials: README NEWS
CRAN checks: handyFunctions results

Documentation:

Reference manual: handyFunctions.pdf

Downloads:

Package source: handyFunctions_0.1.0.tar.gz
Windows binaries: r-devel: handyFunctions_0.1.0.zip, r-release: handyFunctions_0.1.0.zip, r-oldrel: handyFunctions_0.1.0.zip
macOS binaries: r-release (arm64): handyFunctions_0.1.0.tgz, r-oldrel (arm64): handyFunctions_0.1.0.tgz, r-release (x86_64): handyFunctions_0.1.0.tgz, r-oldrel (x86_64): handyFunctions_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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