There must be a simpler and easier way but it's early here and I am only on my first cup of tea. Just but each element into a data frame. Quick and dirty example: ============================dat1 <- list(aa = 1:20, bb <- data.frame(xx = 1:5, yy = LETTERS[1:5]))
dat2 = data.frame(dat1[[1]]) ====================================================== On Friday, May 18, 2018, 4:37:39 a.m. EDT, Ilio Fornasero <iliofornas...@hotmail.com> wrote: I have the following list: > tables $`NULL` V1 V2 V3 1 Year 1992 1993 $`NULL` V1 V2 V3 V4 1 Age Average (cm) N SD 2 18-19 178.3 6309 6.39 I want to turn it into 2 dataframes: A $V1 $V2 $V3 B $V1 $V2 $V3 Any easy hint? Thanks [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.