ANOVA with a known linear model
8 次查看(过去 30 天)
显示 更早的评论
I want to use ANOVA function to generate a report for a multiple linear regression model. ANOVA takes the input of LM, a linear model class, which can be created using fitlm function. My question is that since the model is already determined including the coefficients and the predictors, can I input my model somehow in ANOVA without having to run fitlm function? In other words, how can I create a LM class with my own coefficients?
Thanks in advance.
0 个评论
回答(1 个)
Ghada Saleh
2015-8-10
Hi Claire,
As you have mentioned, ANOVA only accepts an input of type Linear Model which can be constructed using 'fitlm' or 'stepwiselm'. If you already have the coefficients of your linear model, you can use them to generate data for the dependent variable given your independent variable values. As an example:
x = rand(1,10); % you can replace with your independent variable values.
y = 5*x+12; % replace by your linear model;
lm = fitlm(x,y);
Now 'lm' is a Linear Model object that will estimate the coefficients '5,12'. Given enough number of samples, 'fitlm' will estimate your model and create Linear Model object that you can then input to ANOVA.
I hope this helps,
Ghada
1 个评论
另请参阅
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!