MATLAB: Splitapply, each data of group in a new figure/plot

figurehold onMATLABmatlab r2015bnew plotplotsplitapply

Hi all,

I am using the function splitapply. However I have problems with plotting each group in another figure (or hide one or more groups).

Currently I am using (attachment with .mat-file):

hold on splitapply(@(difference_mean,difference)plot(difference_mean,difference,'o'),difference_mean,difference,G);

It would be the best to create three seperate figures with each group another figure. Alternatively, create 3 times the same figure and delete the other data.

Can somebody provide me with de solution :)?

Greetings,

Martijn

Best Answer

You can do it but not with an anonymous function. You need a separate function to pass into splitapply:

function myplot(dm,d)
figure;
plot(dm,d,'o');

Pass this function into splitapply:

splitapply(@myplot,difference_mean,difference,G);

Related Solutions

MATLAB: Compare the Means between individual groups in anova

See if the multcompare (link) function will do what you want.

MATLAB: How to make code to split, compute mean, apply Softmax

Hi,

You can use splitapply function to split your whole data into 9 groups and apply the mean function to each group. It would return you an array of 9 elements, where each element is a mean to one group. You can now, carry on with the third step to compute the Euclidean distance between each mean and the query set, and proceed with steps 4 and 5.

Algo:

Y=splitapply (mean, X, G); % G is a vector of group numbers, X is the whole data
for i=1:8
         % compute Euclidean distance between Y[i] and query dataset
end
% Steps 4 and 5

Best Answer

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