how can i change cell array to matrix

I have excel mixed file and used [T,M,dat]=xlsread('Mol.xlsx')to import to matlab

dat= 'A' [12] [-20] [-75] [66] 'B' [9] [-10] [-50] [55] 'C' [15] [-25] [10 ] [45] 'D' [14] [-15] [5] [20]

I want to remove row if the value of column 3 is >= -15. so i used the following criteria, dat(dat(:,3)>=-15,:)=[] but i get the following error Undefined function or method 'ge' for input arguments of type 'cell'. how can i solve this problem?

Answer 1

[Guillaume]

Since you have mixed data types you can't convert the cell array into a matrix. You could just operate on the numeric matrix T and text matrix M with:

rowstodelete = T(:, 3) >= -15; 
T(rowstodelete, :) = [];
M(rowstodelete, :) = [];
dat(rowstodelete, :) = [];

Simpler, would be to use a table which can handle mixed data types and has a more intuitive syntax than cell arrays. It's also dead easy to import excel data into a table:

t = readtable('Mol.xlsx'); %possibly that's all you need. If your excel file has no header row:
%t = readtable('Mol.xlsx', 'ReadVariableNames', false);

t(t(:, 3) >= -15, :) = [] %delete rows for which column 3 is >=-15

Answer 2

[Giorgos Papakonstantinou]

You can do the following to find which values are >=-15 :

dat= {'A' [12] [-20] [-75] [66] 'B' [9] [-10] [-50] [55] 'C' [15] [-25] [10 ] [45] 'D' [14] [-15] [5] [20]};

dat(cellfun(@(x) x>=-15 & ~ischar(x), dat)) = [];

Of course the result will be again a cell.

However, the T output argument from xlsread will be be of class double so there will be no need to go through the cellfun command.

You can see this with a minimum example:

values = {'A' [12] [-20] [-75] [66] 'B' [9] [-10] [-50] [55] 'C' [15] [-25] [10] [45] 'D' [14] [-15] [5] [20]};

xlswrite('myExample.xlsx',values);
filename = 'myExample.xlsx';
[T,M,dat] = xlsread(filename)

Then:

T =
    12   -20   -75    66   NaN     9   -10   -50    55   NaN    15   -25    10    45   NaN    14   -15     5    20

If you want simply to remove them:

T(>=-15) = [];

Answer 3

[Abebe kebede]

Thank you very much guys.