I have a very large dataset with columns of id number, actual value, predicted value. This used to be a time series but I have dropped the time component. So I now have a data.frame where the id number is repeated but each value in the actual and predicted columns are unique.
I assume I need to use recast somehow but I'm at a loss... how can I perform a simple linear regression (using lm()?) on my two variables for each unique id number? additionally, I need to fix the y-intercept at zero. Thanks for your help, Justin ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
