RPy2 Refactor

[JoshLoecker]

Description

Implementation of the r2py package is not great for the following reasons

1. When a file is imported (import ...), the entirety of the "linked" R file is imported as well. This causes slow imports
2. It is impossible to use any of the files outside of the Jupyter environment. Object Oriented Programming is not possible in this case

Fixes

To fix this, it would be ideal to place the r2py code into its own class, capable of loading any R file required. A possible function signature could appear as follows:

from rpy2.robjects.packages import importr
from rpy2.robjects.packages import SignatureTranslatedAnonymousPackage

class LoadRModule:
    def __init__(r_file_name: str):
        # Load the R file with r2py
    def call_func(function_name: str):
        # Call the requested R function

Impacts

The following Python files are currently impacted

• Cluster RNASeq
• Cluster Sources
• Disease Analysis
• Generate Counts Matrix
• Instruments
• Merge Xomics
• Proteomics Gen
• RNASeq Gen
• RNASeq Preprocess