Hi! For example if "data" is the complete dataset with both x and y values:
tempdata = data[complete.cases(data[,1:2]),] # Regression data model = lm(y~x, data = tempdata) # Linear model >From this you can calculate the regression value of the missing values. Hope this helped! Regards, Chris -- View this message in context: http://r.789695.n4.nabble.com/regression-imputation-in-R-tp4675667p4675677.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.
