Linear Regression - Repeat Measurements
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Hi Everyone,
I am fairly new to Matlab and have a problem using Linear Regression.
I have an experiment where I have taken multiple repeat measurements. To simplify my problem I have a 10 by 1 vector of predictor variables (independent variables) and a 10 by 5 matrix of response variables (dependent variables). I know that these data should follow a linear trend and I want to evaluate how linear they actually are.
I want to apply a robust least square fitting to the average of my dependent variables at each independent variable. I can do this using robustfit. My problem arises as I also would like to weight the least square fitting method by the variance of the dependent variables at each data point. I can't figure out how to do this.
Any help would be greatly appreciated!
Best,
Siri
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Answers (2)
Star Strider
on 4 May 2014
Repeated measures problems have their own statistical requirements. I agree with Tom Lane’s answer to: Setting weights for robustfit command because I can’t improve on it. See the documentation for glmfit for details.
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Star Strider
on 4 May 2014
After looking around the Statistics Toolbox functions for a few minutes, I suggest you see the documentation: Set Up Multivariate Regression Problems. It seems to be closest to what you need.
(I apologise for the delay ... GMT-6 here.)
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