How to run the same script but for different datafiles consecutively
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So I have the following script:
clc;
clear;
LM = xlsread('LagrangeMultiplier.xlsx','LM');
CM = xlsread('LagrangeMultiplier.xlsx','CM');
DT = xlsread('LagrangeMultiplier.xlsx','DT');
for i = 1:size(LM,2)
JPD(i,:) = exp(-1-sum(LM(:,i)))*mvncdf(DT, Inf*ones(size(DT,1),1),0,CM);
end
Basically I have datafiles named:
LagrangeMultiplier1.xlsx
LagrangeMultiplier2.xlsx
LagrangeMultiplier3.xlsx
and so on until LagrangeMultiplier100.xlsx
Currently I'm running this script manually for each file, ie, I have LagrangeMultiplier1.xlsx as the name in the script, then I copy the values from the JPD workspace into excel, then put LagrangeMultiplier2.xlsx as the datafile name and so on. How can I automate this so that MATLAB automatically runs the script for all 100 datafiles and stores all 100 arrays for JPD into the workspace?
Thanks
Accepted Answer
More Answers (2)
Azzi Abdelmalek
on 29 Aug 2013
for k=1:100
file=sprintf('LagrangeMultiplier%d.xlsx',k);
LM = xlsread(file,'LM');
CM = xlsread(file,'CM');
DT = xlsread(file,'DT');
for i = 1:size(LM,2)
JPD(i,:) = exp(-1-sum(LM(:,i)))*mvncdf(DT, Inf*ones(size(DT,1),1),0,CM);
end
out{k}=JPD
end
3 Comments
Azzi Abdelmalek
on 30 Aug 2013
Your JPD are saved in the cell array out
out{1} corresponds to JPD1
out{2} corresponds to JPD2
and so on
Ilham Hardy
on 30 Aug 2013
change
out{k}=JPD
into
JPDall{k}=JPD
to accomodates your need..
The following code will save your JPD variable for LagrangeMultiplier1.xlsx as JPD1 in the workspace, the JPD variable for LagrangeMultiplier2.xlsx as JPD2, and so on...
clc;
clear;
nb_files = 100;
for ii = 1:nb_files
filename = ['LagrangeMultiplier',num2str(ii),'.xlsx'];
LM = xlsread(filename,'LM');
CM = xlsread(filename,'CM');
DT = xlsread(filename,'DT');
JPD = [];
for jj = 1:size(LM,2)
JPD(jj,:) = exp(-1-sum(LM(:,jj)))*mvncdf(DT, Inf*ones(size(DT,1),1),0,CM);
end
eval([ 'JPD',num2str(ii),' = JPD;'])
end
4 Comments
sittmo
on 30 Aug 2013
Ilham Hardy
on 30 Aug 2013
I think what he meant is just like Azzi's answer.. by putting it in one cell.
sittmo
on 30 Aug 2013
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