converting a table of numeric data into a double array?

Hi,
I am trying to convert a table of numeric data to a double array using some of the methods presented before in some answers to similar questions like:
1- table2array function
2- X{:,:}
But they both don't work for me. They change the table into a cell, not a double array

 Réponse acceptée

I believe it's mean that you have non-numeric data in your table.
Try this:
If T is your table, use cell2mat after table2array.
T_cell = table2array(T);
T_array = cell2mat(T_cell); % T_array is output
% if it is single so after this two lines use:
% T_array = double(T_array)

3 commentaires

Well, the table has numeric and text data. I created a new matrix out of the columns in the table that contain numeric data, but i just noticed that the numeric data in this matrix are of char class, not double. Why would that happen?
This is that I've done:
data = readtable('columns.xlsx');
data_num = [data(3:end,3:7) , data(3:end,9:12)];
The data_num is the one to have the numeric data in it.
I believe it happens because your first data table includes text and numeric data.
Do you have a problem with using this?
data_numNEW = table2array(data_num );
data_numNEW = cell2mat(data_numNEW ); % T_array is output
I do not see your data but if the problem is you have char instead of number this maybe helps you:
data_numNEW = table2array(data_num );
data_numNEW = cellfun(@double,data_numNEW,'uni',0)
Thanks so much. That was really helpful.
I've tried both solutions, the first doesn't work, it gives me this error:
Error using cat
Dimensions of arrays being concatenated are not consistent.
However the second worked, but I needed to convert the contents of the cell array from char to string first and then into double. And then used cell2mat to convert the cell array into a matrix
data_numNEW = table2array(data_num );
data_numNEW = cellfun(@string,data_numNEW,'uni',0);
data_numNEW = cellfun(@double,data_numNEW,'uni',0);
data_numNEW = cell2mat(data_numNEW);

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Plus de réponses (1)

Chhanda
Chhanda le 19 Oct 2023
Modifié(e) : Walter Roberson le 19 Oct 2023
My code is this :
data=readtable('MainData.xlsx');
X1= data(:, 3);% Assuming time, temperature, humidity are columns 3, 4, and 5
X2=data(:, 4);
X3=data(:, 5);
% Convert variables to tables
X1Table = table(X1);
X2Table = table(X2);
X3Table = table(X3);
% Extract the dependent variable (soil moisture)
Y = data(:, 6); % Assuming soil moisture is in column 6
n=height(X1);
onesTable = table(ones(n,1));
a = [onesTable, X1Table, X2Table, X3Table];
c=pinv(a)*Y;
I am getting this error:
Error using svd
First input must be single or double.
Error in pinv (line 18)
[U,s,V] = svd(A,'econ','vector');
Error in Project1 (line 21)
c=pinv(a)*Y;
Kindly suggest a solution.I think i need to change my table to double format ..but unable to do so using table2array().
Kindly help.

1 commentaire

"Kindly suggest a solution."
Use numeric arrays for storing basic numeric data (not lots of superfluous nested tables).
Use curly-brace indexing to access table content:
The PINV documentation clearly states that its input must be SINGLE or DOUBLE (i.e. numeric). Instead of doing that, you are providing it with nested tables.
"Convert variables to tables": they are already tables, why nest them inside more tables? Why do you need so many tables? Lets try it without all of those tables, e.g. by using curly-brace indexing:
T = array2table(rand(7,6)); % fake data alternative to READTABLE
Y = T{:,6};
n = height(T);
a = [ones(n,1), T{:,3:5}];
c = pinv(a)*Y % your approach
c = 4×1
0.5321 -0.1422 0.0876 0.2790
c = lsqminnorm(a,Y) % the recommended approach
c = 4×1
0.5321 -0.1422 0.0876 0.2790

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