# Find corresponding values of discritized data after using splitapply

2 views (last 30 days)
Tessa Kol on 24 Aug 2020
Commented: Tessa Kol on 24 Aug 2020
I have a 3384x5 array of which the first and last 20 rows are shown in the pictures below.  With the help of Cris LaPierre I was able to discretize my data (https://nl.mathworks.com/matlabcentral/answers/583103-find-maximum-value-of-array-within-specified-range-consecutively?s_tid=prof_contriblnk)
I wanted to do a similar process as in the mentioned in the link.
Code so far:
% % Define edges of ranges
rng_x = -0.06:0.011:0.061;
% Assign the data of column 1 to a predefined range
disc_x = discretize(x,rng_x);
% Group the data of column 1
slice_x = splitapply(@(x) {x},x,disc_x);
As can be seen in the figure below the splitapply did what I intented it to be, it grouped the data of column 1 in each defined range. Thus:
Every value of column 1 lying between -0.06 and -0.049 is grouped into the first cell (269x1 double)
Every value of column 1 lying between -0.049 and -0.038 is grouped into the second cell (340x1 double)
And so on... Problem: How can I retrieve the values of the 2nd column and 3th that correspond to the grouped data of column 1?

Bruno Luong on 24 Aug 2020
Edited: Bruno Luong on 24 Aug 2020
if x is extracted as the first column of your array A
slice_x = splitapply(@(x) {x}, A, disc_x);
Tessa Kol on 24 Aug 2020
Thank you so much!

R2020a

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