BioMetrix

The goal of BioMetrix is to calculate mean and standard desviation by columns and generate boxplots…

Installation instructions

Get the latest stable R release from CRAN. Then install BioMetrix from Bioconductor using the following code:

if (!requireNamespace("BiocManager", quietly = TRUE)) {
    install.packages("BiocManager")
}

BiocManager::install("BioMetrix")

Example

This is a basic example which shows you how to solve a common problem:

library("BioMetrix")
## basic example code

You can load this example data:

set.seed(0)
matrix <- round(matrix(runif(30, min = 0, max = 100), nrow = 10, ncol = 3), 2)

You can also generate boxplots, for example:

#> No id variables; using all as measure variables

Citation

Below is the citation output from using citation('BioMetrix') in R. Please run this yourself to check for any updates on how to cite BioMetrix.

print(citation('BioMetrix'), bibtex = TRUE)
#> To cite package 'BioMetrix' in publications use:
#> 
#>   Dabiguina94 (2024). _BioMetrix_. doi:10.18129/B9.bioc.BioMetrix
#>   <https://doi.org/10.18129/B9.bioc.BioMetrix>,
#>   https://github.com/Dabiguina94/BioMetrix/BioMetrix - R package
#>   version 0.99.0, <http://www.bioconductor.org/packages/BioMetrix>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {BioMetrix},
#>     author = {{Dabiguina94}},
#>     year = {2024},
#>     url = {http://www.bioconductor.org/packages/BioMetrix},
#>     note = {https://github.com/Dabiguina94/BioMetrix/BioMetrix - R package version 0.99.0},
#>     doi = {10.18129/B9.bioc.BioMetrix},
#>   }
#> 
#>   Dabiguina94 (2024). "BioMetrix." _bioRxiv_. doi:10.1101/TODO
#>   <https://doi.org/10.1101/TODO>,
#>   <https://www.biorxiv.org/content/10.1101/TODO>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Article{,
#>     title = {BioMetrix},
#>     author = {{Dabiguina94}},
#>     year = {2024},
#>     journal = {bioRxiv},
#>     doi = {10.1101/TODO},
#>     url = {https://www.biorxiv.org/content/10.1101/TODO},
#>   }

Please note that the BioMetrix was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.

Code of Conduct

Please note that the BioMetrix project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Development tools

• Continuous code testing is possible thanks to GitHub actions through usethis, remotes, and rcmdcheck customized to use Bioconductor’s docker containers and BiocCheck.
• Code coverage assessment is possible thanks to codecov and covr.
• The code is styled automatically thanks to styler.
• The documentation is formatted thanks to devtools and roxygen2.

For more details, check the dev directory.

This package was developed using biocthis.