Linear Regression: order of estimated coefficients does not match input order
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For example,
mdl = fitlm(data,'EXPOS ~ X1 + X2 + HEIGHT + AGE')
The output
mdl.Coefficients
produces the estimated coefficients in the following order: HEIGHT, AGE, X1 and X2. Why does it do that? It really messes up some calculations! Please help!
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採用された回答
John D'Errico
2015 年 2 月 22 日
If you have created the dataset with those variables in the order (height, age, x1, x2) then that is the order they will appear in the final model, even though you specified the model as
'EXPOS ~ X1 + X2 + HEIGHT + AGE'
2 件のコメント
John D'Errico
2015 年 2 月 22 日
編集済み: John D'Errico
2015 年 2 月 22 日
You can extract the variable names from the data set, then use regexp (or some other tool, like strtok, or even my own function allwords on the File Exchange) to take apart the model string you will be using. Then sort the two sets of variable names to be consistent.
For example:
allwords('EXPOS ~ X1 + X2 + HEIGHT + AGE',' +~')
ans =
'EXPOS' 'X1' 'X2' 'HEIGHT' 'AGE'
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