Hi Michael, I noticed this difference between DataFrame vs data.frame when doing rbind():
> rbind(data.frame(aa=NA), data.frame(aa=1:2)) aa 1 NA 2 1 3 2 > rbind(DataFrame(aa=NA), DataFrame(aa=1:2)) DataFrame with 4 rows and 1 column aa <logical> 1 NA 2 TRUE 3 TRUE If the DataFrame with NAs is put after the DataFrame with integers, things look better: > rbind(DataFrame(aa=1:3), DataFrame(aa=NA)) DataFrame with 4 rows and 1 column aa <integer> 1 1 2 2 3 3 4 NA As a consequence, combining 2 Vector objects, one with no metadata cols and one with metadata cols, will loose the data if the object with no metadata cols is put first: ir1 <- IRanges(1:2, 5) ir2 <- IRanges(11:13, 14) mcols(ir2) <- DataFrame(score=2:0) Then: > mcols(c(ir1, ir2)) DataFrame with 5 rows and 1 column score <logical> 1 NA 2 NA 3 TRUE 4 TRUE 5 FALSE How hard it would be to bring the rbind,DataFrame method in line with rbind.data.frame? Thanks, H. -- Hervé Pagès Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpa...@fhcrc.org Phone: (206) 667-5791 Fax: (206) 667-1319 _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel