Previous procedure:

1. SNP_CSV.m would select two .snp files convert to a .csv then subtract
2. SNP_CSV.m would save subtracted .csv to a folder along with frequencies, and channels (array with i,j)
3. CompleteAnalysis.m would pull .csv from said folder

New procedure:

1. processing_for_MERIT.m converts .snp files to sparameter object https://www.mathworks.com/help/rf/ref/sparameters.html
2. Subtracts the two objects data from each other and uses that to make a new sparameter object
3. Frequencies, channels are taken from the sparameters objects instead .csv

Benefits

1. More robust
2. Less scripts floating around
3. rfplot command makes it easy to display reflection coefficients, transmission coefficients https://www.mathworks.com/help/rf/ref/rfplot.html