Hi Ramya, In this particular case, something like ?"complete.cases" should do the job. With this function you can delete rows with one or more NA's. Here is an example:
set.seed(123) DF<-matrix(rnorm(100),ncol=10) DF[1,2]<-NA DF[1,3]<-NA DF[4,10]<-NA dim(DF) [1] 10 10 DF.noNA <- DF[complete.cases(DF),] # Removing rows 1 and 4 dim(DF.noNA) [1] 8 10 HTH, Jorge On Wed, Sep 17, 2008 at 1:22 PM, Rajasekaramya <[EMAIL PROTECTED]>wrote: > > Hi, > > I have a dataframe with 14319rows and 9 colums. for some rows there are > null > values.I want a dataframe without these null values.I wanna select only > those that have values !=NA. > > kindly let me know how to do that. > > Ramya > > -- > View this message in context: > http://www.nabble.com/selecting-dataframe-values-that-are-not-nulls-tp19537093p19537093.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > [[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.
