Linear Regression: order of estimated coefficients does not match input order
4 次查看(过去 30 天)
显示 更早的评论
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!
0 个评论
采纳的回答
John D'Errico
2015-2-22
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 个评论
John D'Errico
2015-2-22
编辑:John D'Errico
2015-2-22
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'
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!