How could i create a function that winsorize and truncate data?

So we want to create a function where we can apply another function "foo" to an array "x" while specifying outliers quantiles. The outliers must be defined by a vector of length 2 where the first entry is the left truncation/winsorization quantile, and the second entry -- the right tail truncation/winsorization quantile

The function must return 3 value; - winsorized ; a function "foo" that has been applied to a winsorized vector "x" - trimmed ; a function "foo" that has been applied to a trimmed vector "x" - base ; a function "foo" that has been applied to a vector "x"

We defined truncation as removing outlier observations We defined winsorization as replacing outlier observations with some appropriate threshold value

The code below is what i already did for the moment but it's not working. The error message is "input argument'outliersQuantiles' might be unused" and they also say that "an indexing expression on the left side of an assignment must have at least one subscript".

***********CODE**********************************

function [ winsorized, trimmed, base] = trimmedStat(x, foo, outlierQuantiles)

%UNTITLED Summary of this function goes here % Detailed explanation goes here

outlierQuantiles = [a, b]; x = x(~isnan(x));

trimmed = foo(x(x >((outlierQuantiles(1)/100)*x) & x <((outlierQuantiles(2)/100)*x)));

base = foo(x);

winsorized = foo(winsorizing(x, (outlierQuantiles(2)-outlierQuantiles(1))));

end

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Any advice would be appreciated :)