How can I systematically extract data from dat files?

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Teng Zeng
Teng Zeng 2016-5-5
Hello, I'm looking for someone to help me out with dlmread.
I have a series of ".dat" files (S1.dat, S2.dat, ....S65.dat), from which I will need to extract values from certain cells. Each file has 251 rows and 105 columns. Currently I use a very inefficient way to do it (as an example):
I first read each dat file into a variable "M{i}"
M1=dlmread('S1.dat');
I then extract values from target cells and dump them into a new variable "A{i}"
A1=[M1([99],[62]) M1([121],[62]) M1([60],[82]) max(M1([77:84],[82])) sum(M1([84:104],[101])) sum(M1([25:45],[101]))];
And I manually repeat these two lines of codes for all the files by changing "M1/S1" to "M2/S2", "M3/S3", and so on. I believe there is a much more efficient way to accomplish this using some loop coding. Ideally, I want to be able to do something like the following so I can extract values from all files and write them into separate variables at once:
i=65;
M{i}=dlmread('S{i}.dat');
A{i}=[M{i}([99],[62]) M{i}([121],[62]) M{i}([60],[82]) max(M{i}([77:84],[82])) sum(M{i}([84:104],[101])) sum(M{i}([25:45],[101]))];
However, I couldn't seem to work that out. I would appreciate any advice/help on this.
Thank you!
Teng

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