A Grammar of Data Manipulation for Omics Data
The tidies package implements tidy principles as defined in
the tidyverse packages to omics-type
data classes, with (currently at least), an emphasis on quantitative
proteomics data.
Details and examples are provides in the
vignette. See
also my slides for the EuroBioc2018
conference.
First, install the Bioconductor
dependencies using the BiocManager package, that can be installed
from CRAN with install.packages.
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MSnbase")
In case they aren’t installed yet, please install dplyr, tibble
and tidyr:
install.packages(c("dplyr", "tidyr", "tibble"))
Or just go agread and install the full tidyverse:
install.packages("tidyverse")
You can now install the tidies package from github with:
BiocManager::install("lgatto/tidies")
Please ask question, report bugs and suggest improvements by opening a
GitHub issue.
Contributions to the package are more than welcome. If you want to
contribute to this package, you should follow the same conventions as
the rest of the functions. Please do get in touch (preferable opening
a github issue) to discuss
any suggestions.
Please note that this project is released with a Contributor Code of
Conduct. By
participating in this project you agree to abide by its terms.