Ramya, you sent four near identical emails with different subject lines.
Since the list is run by unpaid volunteers, please avoid wasting
people's time (and yours too) with such redundancies.
Please read http://www.r-project.org/posting-guide.html and search the
mailing lists and documentation
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
On Sep 17, 2008, at 1:22 PM, Rajasekaramya 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.
?is.na
--
David
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-dat
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