Hi Jim, thank you so much for getting back to me. I tried your code and this is what I get: > dim(neu2) [1] 3740988 9 > dim(nep2) [1] 3740988 9 > dim(ret2) [1] 3740001 9
I think I would need to have the same number of lines in all 3 data frames. Can you please advise. Cheers Ana On Mon, Jun 1, 2020 at 7:31 PM Jim Lemon <drjimle...@gmail.com> wrote: > Hi Ana, > Not too hard, but your example has all the "marker" fields in common. > So using a sample that will show the expected result: > > neu1<-read.table(text="Chr BP Marker MAF A1 A2 Direction pValue N > 1 100000012 1:100000012:G:T 0.229925 T G + 0.650403 1594 > 1 100000827 1:100000827:C:T 0.287014 T C + 0.955449 1594 > 1 100002713 1:100002713:C:T 0.097867 T C - 0.290455 1594 > 1 100002882 1:100002882:T:G 0.287014 G T + 0.955449 1594 > 1 100002991 1:100002991:G:A 0.097867 A G - 0.290455 1594 > 1 100004726 1:100004726:G:A 0.132058 A G + 0.115005 1594", > header=TRUE,stringsAsFactors=FALSE) > > nep1<-read.table(text="Chr BP Marker MAF A1 A2 Direction pValue N > 1 100000012 1:100000012:G:T 0.2300430 T G - 0.1420030 1641 > 1 100000827 1:100000827:C:T 0.2867150 T C - 0.2045580 1641 > 1 100002713 1:100002713:C:T 0.0975015 T C - 0.0555507 1641 > 1 100002882 1:100002882:T:G 0.2867150 G T - 0.2045580 1641 > 1 100002991 1:100002991:G:A 0.0975015 A G - 0.0555507 1641 > 1 100004726 1:100004727:G:A 0.1325410 A G - 0.8725660 1641", > header=TRUE,stringsAsFactors=FALSE) > > ret1<-read.table(text="Chr BP Marker MAF A1 A2 Direction pValue N > 1 100000012 1:100000012:G:T 0.2322760 T G - 0.230383 1608 > 1 100000827 1:100000827:C:T 0.2882460 T C - 0.120356 1608 > 1 100002713 1:100002713:C:T 0.0982587 T C - 0.272936 1608 > 1 100002882 1:100002882:T:G 0.2882460 G T - 0.120356 1608 > 1 100002991 1:100002992:G:A 0.0982587 A G - 0.272936 1608 > 1 100004726 1:100004727:G:A 0.1340170 A G - 0.594538 1608", > header=TRUE,stringsAsFactors=FALSE) > > # merge the three data frames on "Marker" > nn1<-merge(neu1,nep1,by="Marker") > nn2<-merge(nn1,ret1,by="Marker") > # get the common "Marker" strings > Marker3<-nn2$Marker > # subset all three data frames on Marker3 > neu2<-neu1[neu1$Marker %in% Marker3,] > nep2<-nep1[nep1$Marker %in% Marker3,] > ret2<-ret1[ret1$Marker %in% Marker3,] > > Jim > > On Tue, Jun 2, 2020 at 7:50 AM Ana Marija <sokovic.anamar...@gmail.com> > wrote: > > > > Hello, > > > > I have 3 data frames which have about 3.4 mill lines (but they don't have > > exactly the same number of lines)...they look like this: > > ... > > Is there is a way to create another 3 data frames, say neu2, nep2, ret2 > > which would only contain lines that have the same entries in Marker > column > > for all 3 data frames? > > > > Thanks > > Ana > > > > [[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.