Add Support Vector Machine (SVM) to Statistical Analysis

[XinsongDu]

Check how MetaboAnalyst (https://www.metaboanalyst.ca/) do SVM for metabolomics data, add similar function to RUMP. Sample data can be used to test your code. Steps:

• Google the term and learn about what SVM is.
• Write code to create SVM for Sample data.
• Analyze input and output of your code, add argument parser for Python or argument parser for R.
• Check code qualify using pylint (if using Python) or lintr (if using R) and improve code quality based on checking results.
• Modify main.nf to integrate your new code to RUMP and test your code.
• Make a pull request and wait for review.

Using MetaboAnalyst and their sample data to do SVM and observe what the results look like might be helpful.