combining text and numeric matrices

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Hasnain Ali
Hasnain Ali 2018-2-7
评论： Walter Roberson 2018-2-9
My dataset has 6 predictors (all ordinal text values e.g. good, better, best) and 1 response (ordinal numeric value e.g. 1,2,3) column. When I’m trying to combine these into 7 columns for further classification study, I’m shown the following error ’ Error using horzcat Dimensions of matrices being concatenated are not consistent. ’ Any suggestion?
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Hasnain Ali
Hasnain Ali 2018-2-9
Oh! I have R2015b version. Walter Roberson, is there any other method you'd know of?
Walter Roberson
Walter Roberson 2018-2-9
Re-read your documentation. For R2015b: https://www.mathworks.com/help/releases/R2015b/stats/mnrfit.html#inputarg_Y
Response values, specified as a column vector or a matrix. Y can be one of the following:
  • An n-by-k matrix, where Y(i,j) is the number of outcomes of the multinomial category j for the predictor combinations given by X(i,:). In this case, the number of observations are made at each predictor combination.
  • An n-by-1 column vector of scalar integers from 1 to k indicating the value of the response for each observation. In this case, all sample sizes are 1.
  • An n-by-1 categorical array indicating the nominal or ordinal value of the response for each observation. In this case, all sample sizes are 1.

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回答（1 个）

Kai Domhardt
Kai Domhardt 2018-2-7
I am going to assume, that your predictors matrix is of type 'm x 6 Cell'.
temp = randi(3,10,6);
predictors = cell(10,6);
predictors(temp==1) = {'good'};
predictors(temp==2) = {'better'};
predictors(temp==3) = {'best'};
response = randi(3,10,1);
This results in:
predictors =
{'good' } {'good' } ...
{'better'} {'best' } ...
... ...
and
response =
1
2
...
When you want to combine them you, need to convert your numerical array 'response' into an cell array to match the type of 'predictors':
combined = [predictors, num2cell(response)];
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Hasnain Ali
Hasnain Ali 2018-2-8
Hey Kai Domhardt! Thank you. This is helpful.
However, I'm not able to perform logistic regression over the dataset. Can logistic regression be performed on ' combined' matrix that you've just generated?

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