JMP > Factor Analysis > Input Structure IssueHi JMP Community,
I have a large data set (354 cases [Rows] x 4800 variables [Columns]) derived from a metabolomic analysis. While reviewing the data by PCA, I noticed a clear separation of the data into two populations (see below). Now, I need to assess the possible contribution of cases' properties (e.g., Gender, Age, Treatment) to this separation.
I assumed that Factor Analysis would be the right platform to use, but I failed to grasp how to format the input for this analysis properly.
I cannot share the actual data because of its confidential nature. Hence, let me know if it would help if I created and shared a mock table.
Best,
TS
AnalyticsData TableWindowsRe: JMP > Factor Analysis > Input Structure IssueHi @Thierry_S , did you check the two examples in the scripting index?
Perhaps that may guide you through. Good Luck.
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Principal Components(
Y( :OZONE, :CO, :SO2, :NO, :PM10 ),
"on Correlations"
);
obj << Factor Analysis( "ML", "SMC", 2, "Varimax" );
Re: JMP > Factor Analysis > Input Structure IssueHi @Georg ,
Thank you for reminding me of the examples and the scripting guide. I did study these examples, but I still struggle with applying this method to my large data set. Does it even make sense to look at 4800 variables in Factor Analysis? I am starting to believe that my original question was misguided.
Best,
TS
