# calculate new table from values of old table and find fit model curve

I'm new to mathematica and I'm struggling to figure this out.

I have a file with 6 space separated numerical data columns. Column 3 and 4 are the x and y values of the real data, column 5 and 6 are the correct values it should have. The errors in the real data have a radial dependency, I want to calculate radii for real and correct data, calculate the relative deviation depending on the radius and find the best fitting model curve for the deviation.

I got the data read from the file with

data = ReadList["/path/to/data_file.txt", {Number, Number, Number, Number, Number, Number}]


To my understanding the Fit or FindFormula functions need the data in {{x1, f1}, {x2, f2}, ...} format. However I'm failing to calculate a new table from data that contains calculated radius and deviation pairs; I want to do something like

loop over all rows of "data" with row index i:
deviation[i] = { Sqrt[ data[i]^2 + data[i]^2 ], Sqrt[ data[i]^2 + data[i]^2 ] / Sqrt[ data[i]^2 + data[i]^2 ] }

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• And when you do Table[deviation[i]={Sqrt[....^2]},{i,Length[data]}? – Feyre Aug 21 '16 at 21:15
• @Feyre no, because {i, Length[data]} will give me the row index of data as variable, however I need the radius as variable – Matthias Aug 22 '16 at 11:21
• This uses i is variable, and increases i by +1 up to Length[data]. Note that [[i]] is the ith element, so not [i] – Feyre Aug 22 '16 at 11:46
• your main issue seems to be basic syntax, mathematica uses double brackets for list items, so you should have data[[i,3]], not data[i], then use Table as suggested. – george2079 Aug 22 '16 at 21:58