Hi all,
I use R2019b. I have a cell array (11 x 400) in which the first row and first column contain words (e.g. 'Person#001', 'Person#002', … 'Person#399' for the first row and 'ITEM1', 'ITEM2', … 'ITEM10' for the first column). The remainder of the cells (2:end,2:end) are occupied by numerical values that range from 0 to 1. This dataset represents the amounts of each of the 10 items belonging to each of the 399 persons.
Some of these persons have only 0 values for all of their respective numerical values. I am trying to remove the columns from the cell array that contain only zero numerical values in rows 2 through 11 (i.e. for all 10 items). In the example below (that represents a condensed version of my data), I want the columns with 'Person#004' and 'Person#006' at the top to be removed entirely. There are several of these all-zero columns throughout the entire dataset and ideally this script would remove all of them.
Thanks in advance for your help!
BEFORE 'Person#001' 'Person#002' 'Person#003' 'Person#004' 'Person#005' 'Person#006' . . . 'Person#399''ITEM1' 0 0.2 0.4 0 0.1 0 0.4'ITEM2' 0 0 0.2 0 0 0 0.1'ITEM3' 0.5 0 0.1 0 0 0 0'ITEM4' 0 0.1 0 0 0 0 0.3AFTER 'Person#001' 'Person#002' 'Person#003' 'Person#005' . . . 'Person#399''ITEM1' 0 0.2 0.4 0.1 0.4'ITEM2' 0 0 0.2 0 0.1'ITEM3' 0.5 0 0.1 0 0'ITEM4' 0 0.1 0 0 0.3
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