At 4:28 PM -0500 12/23/07, affy snp wrote: >Hello list, > >I have a data frame M like: > >BAC chr pos s1 s2 >RP11-80G24 1 77465510 -1 0 >RP11-198H14 1 78696291 -1 0 >RP11-267M21 1 79681704 -1 0 >RP11-89A19 1 80950808 -1 0 >RP11-6B16 1 82255496 -1 0 >RP11-210E16 1 228801510 0 -1 >RP11-155C15 1 230957584 0 -1 >RP11-210F8 1 237932418 0 -1 >RP11-263L17 2 65724492 0 1 >RP11-340F16 2 65879898 0 1 >RP11-68A1 2 67718674 0 0 >RP11-474G23 2 68318411 0 0 >RP11-218N6 2 68454651 0 0 >CTD-2003M22 2 68567494 0 0 >..... > >how to remove those rows which have 0 for both of columns s1,s2? >sth like M[!M$21=0&!M$s2=0]?
M[ !(M$s1==0 & M$s2==0) , ] > >Moreover, I want to get a list which could find a subset of rows which have >the same pattern of data. For example, the first 8 rows in M can be >clustered >into 2 groups (represented below in 2 rows) and shown as: > >chr Start End # of rows Pattern >1 77465510 82255496 5 (-1 0) >1 228801510 237932418 3 (0 -1) > >Can anybody help me out of this? Thank you very much and happy holiday! pat <- paste(M$s1,M$s2) ## to find the first subset: M[ pat == pat[1] ,] ## to find the second subset: M[ pat == pat[2], ] ## and so on, for however many unique patterns there are. ## also try table(pat) Of course, your example does more than just "find" the subsets. It also does some summarizing of them. That's a little more complicated. I might start with the summarize() function in the Hmisc package, but there are potentially many ways to also do the summarizing. -Don >Best, > Allen > > [[alternative HTML version deleted]] > >______________________________________________ >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. -- --------------------------------- Don MacQueen Lawrence Livermore National Laboratory Livermore, CA, USA 925-423-1062 [EMAIL PROTECTED] ______________________________________________ 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.