Rev | Line | |
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[80] | 1 | %BIOMED 194 objects with 5 features in 2 classes |
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| 2 | % |
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| 3 | % X = BIOMED; |
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| 4 | % |
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| 5 | % The biomed dataset to develop screening methods to identify carriers |
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| 6 | % of a rare genetic disorder. Because the disease is rare, there are |
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| 7 | % only a few carriers of the disease from whom data are available. |
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| 8 | % |
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| 9 | % X = BIOMED(VAL); |
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| 10 | % |
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| 11 | % Per default the entries with missing values are removed. When you want |
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| 12 | % to do something else, use one of the options in missingvalues.m. |
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| 13 | % This is the ''biomed' dataset of the StatLib Datasets Archive, see |
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| 14 | % http://lib.stat.cmu.edu/datasets/ |
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| 15 | % |
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| 16 | % SEE ALSO |
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| 17 | % DATASETS, MISSINGVALUES |
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| 18 | |
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| 19 | function x = biomed(val) |
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| 20 | |
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| 21 | prdatasets(mfilename,1,'http://prtools.org/prdatasets/biomed.dat'); |
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| 22 | if nargin<1 |
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| 23 | val = 'remove'; |
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| 24 | end |
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| 25 | |
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| 26 | user.desc = 'The purpose of the analysis is to develop a screening procedure to detect carriers and to describe its effectiveness. '; |
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| 27 | user.link = 'http://lib.stat.cmu.edu/datasets/'; |
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| 28 | cl = {'carrier' 'normal'}; |
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| 29 | fl = {'age' 'measurement 1' 'measurement 2' 'measurement 3' 'measurement 4'}; |
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| 30 | |
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| 31 | a = load('biomed.dat'); |
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[81] | 32 | x = pr_dataset(a(:,[3 5 6 7 8]),cl(a(:,end))); |
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[80] | 33 | x = setfeatlab(x,fl); |
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| 34 | x = setname(x,'Biomed'); |
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| 35 | [x,msg] = prmissingvalues(x,val); |
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| 36 | user.desc = [user.desc msg]; |
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| 37 | x = setuser(x,user); |
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| 38 | |
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| 39 | return |
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