Hello R-Experts, I am facing the problem that I have to estimate several parameters for a lot of different dependent variables.
One single regression looks something like this: y = beta0 + beta1 * x1 + beta2 * x2 + beta3 * x1 * x2 + beta4 * x4 + beta5 * lag(x4,-1) where y is the dependent variable and xi are the independent ones. Important to me are the different estimates of betai and their respective p-values only. Now I have aprx. 50 different data sets of y and x1 to x4. So for each data set I need the respective estimators and their p-values. Do I really have to type in each single regression for each data set and copy the output into a table manually? Isn't it possible to get an efficient output like the following? beta0(data set 1) | P-Value(beta0, data set 1) | beta1(data set 1) | P-Value(beta1, data set 1)| .... | P-Value(beta5, data set n) Or at least getting a vector with all the estimates of beta0 for each data set, another vector with all estimates of beta1 for each data set, and a matrix with P-values for each betai of each data set? The file containing the observations for xi and y for each set of data can be adjusted to any kind of format. Thank you very much in advance. With kind regards Christian -- View this message in context: http://r.789695.n4.nabble.com/Customized-R-Regression-Output-tp4631497.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
