I have a metabolomic data matrix, with metabolites in raws and samples in columns, after normalized and scaling, I'd like to perform a 7-fold cross validation AUROC with SPSS or MATLAB or R to evaluate a logistic regression model, did someone can shed light on this point?
Saad Kariem Shather
In my opinion it need more practice for SPSS and MATLAB software to evaluate the results of experiments then it can be easy to correct mistakes.
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Michael Heming
I would suggest using R (which is free) and the R package caret by Max Kuhn (which has lots of great functions and great help pages https://topepo.github.io/caret/). So for example to perform 7 -fold cross validation with metric ROC you could use:
library(caret)
library(mlbench)
data(Sonar)
model
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