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how to load fisheriris data set by reducing the number of sample for each species

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jaah navi
jaah navi 2019-1-30
评论： Rik 2022-11-19
I am using fisheriris data set in my matlab code.
As fisheriris contain 3 species of 50 samples each.In total it contains 150 samples with 4 features.
Could anyone help me how to load 3 samples from 3 species inorder to make in total 9 samples containing 4 features.
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Rik
Rik 2019-1-30
I don't have the required toolbox, so this file is not available for me:
fullfile(matlabroot, 'toolbox', 'stats', 'statsdemos', 'fisheriris.mat')
But this looks like you should be able to load this file, and use the species variable to separate the different species.
Do you want to have a random selection of 3 of each species?

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KSSV
KSSV 2019-1-30
load fisheriris.mat ;
str = unique(species) ;
% pick any three randomly
pos = zeros(3,3) ;
for i = 1:3
idx = find(contains(species,str{i})) ;
pos(:,i) = randsample(idx,3) ;
end
iwant = meas(pos(:),:)
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Rik
Rik 2022-11-19
Nothing specific. It is simply one of the variables stored in this example data. It is probably short for measurement.

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