Hi, May be this helps: df1<- read.table(text=" t1 t2 t3 t4 len1 AA AA PP AP len2 FALSE AA PP MM len3 PP AA AA AP len4 PP AM MP PP len5 AA FALSE AP PP len6 PP AA AA AA ",sep="",header=TRUE,stringsAsFactors=FALSE)
df1[df1[,1]=="PP" & (rowSums(df1[,-1]!="PP")==(ncol(df1)-1)),] # t1 t2 t3 t4 #len3 PP AA AA AP #len6 PP AA AA AA A.K. ----- Original Message ----- From: Chirag Gupta <cxg...@email.uark.edu> To: r-help@r-project.org Cc: Sent: Saturday, July 20, 2013 6:56 PM Subject: [R] Extract specific rows from a data frame Hi I have a data frame as below t1 t1 t3 t4 len1 AA AA PP AP len2 FALSE AA PP MM len3 PP AA AA AP len4 PP AM MP PP len5 AA FALSE AP PP len6 PP AA AA AA I am having trouble extracting only those rows which have "PP" in the first column but AA or FALSE or all any other value but not PP in rest of the columns. -- *Chirag Gupta* [[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. ______________________________________________ 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.
