" I would like to remove whole columns, if any value is for example 10% greater or less than row average"
Demo:
% Create 100x10 matrix
data = rand(100,10) .* linspace(1,100,10);
% Determine which columns have at least 1 values that is
% within +/- 10% of the row's average
rowAverages = mean(data,2);
isNearAvg = abs(data - rowAverages) <= rowAverages * 0.1; % 10% threshold
replaceColumn = any(isNearAvg,1);
% Option 1: Repalce the column with NaNs, thereby preserving the original structure
data(:,replaceColumn) = NaN
% Option 2: Remove the columns (use replaceColumn to see which cols were removed)
data(:,replaceColumn) = []
