Mirrorstoolkit in R

What

Welcome to Mirrorstoolkit (in R)! It is a collection for data analyses deployed in my research works.

My workflow is generally working with Python on a HPC cluster and have the result visualized in R. Thus this part will be more about quick exploratory visualization and statistic analysis.

I abstracted and wrapped them from my previous projects for those implementations which are either:

• Frequently deployed.
• A bit wordy in the implementation.
• Might be deployed again in future project.
• Very R: I'm a pythonic person, my practice is very seaborn-like.

Why

This is majorly for my personal usage (thus it won't be on CRAN). But I'll keep it maintained here. Feel free to grab anything you like.

Who

If you are:

• Biomed person who need a basic stat wrappers (and your supervisor won't check your code XD).
• As what I mentioned, python Pandas person. I hope it can make your life easier.

Where

The environment is in DESCRIPTION.

I'm using a Macbook 2016 with macOS Monterey 12.7.6. Running R 4.4.0 with tidyverse family. I'll make sure all the packages I used is based on CRAN.

Dependency note: This package has a part heavily depend on dplyr::do() which is officially superseded. But I haven't find a proper way to deal with it by dplyr::reframe(), dplyr::nest_by(), and dplyr::pick() as what dplyr claimed. I'll try to finish it before its official deprecation.

When

I'll keep growing this one. Along with its Python counterpart (https://github.com/alexliyihao/mirrorstoolkit)

How

devtools::install_github("alexliyihao/mirrorstoolkit_r")
library(mirrorstoolkit)

Acknowledgements

All the code are abstracted from my daily task in:

• Gissette Soffer Lab (Division of Preventive Medicine, Dept. of Medicine, CUIMC)
• Badri Vardarajan Lab (Gertrude H. Sergievsky Center, Dept. of Neurology, CUIMC)