Hi, May be this helps. library(plyr) res <- join_all(lapply(my.list,function(x) as.data.frame(t(unlist(x)))),type="full")
res # AICc Intercept Burned StandAge TreeDensity RoadDensity Intercept.SE #1 108.2303 -1.3358063 1.351866 0.05606852 -0.1886327 -0.03904008 0.8392739 #2 207.4494 0.1749414 NA NA NA NA 0.1644731 # Burned.SE StandAge.SE TreeDensity.SE RoadDensity.SE #1 0.5440936 0.009632702 0.03885338 0.02995221 #2 NA NA NA NA A.K. Hi, I have a list where the columns are generally subsets of a full set of columns. Below is an example where the 1st vector in the list has the full set of columns and the 2nd has a very reduced set of those columns. What is a good way to "merge" these lists together so that the resulting data.frame has all of the columns and either blanks or NA's (whatever) in the empty elements for the reduced set? Hopefully that makes sense, and I thank you ahead of time for any suggestions. Chuck my.list <- dput( list(out.j[[4]], out.j[[5]]) ) list(list(structure(c(108.230267668738, -1.33580630289532, 1.35186573380126, 0.0560685186378393, -0.188632664093942, -0.0390400817030916, 0.839273914449761, 0.544093628209087, 0.00963270189999436, 0.038853380878141, 0.0299522140838543), .Names = c("AICc", "Intercept", "Burned", "StandAge", "TreeDensity", "RoadDensity", "Intercept.SE", "Burned.SE", "StandAge.SE", "TreeDensity.SE", "RoadDensity.SE"))), structure(c(207.449399095215, 0.174941449287965, 0.164473092811635), .Names = c("AICc", "Intercept", "Intercept.SE"))) ______________________________________________ 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.