Message-ID: <1341513527.41870.YahooMailNeo@web39405.mail.mud.yahoo.com>
Date: 2012-07-05T18:38:47Z
From: arun
Subject: Exclude missing values on only 1 variable
In-Reply-To: <1341512651.79370.YahooMailNeo@web39404.mail.mud.yahoo.com>
HI,
Try this:
set.seed(1)
dat1<-data.frame(var1=c(rep(NA,3),1:3),var2=c(1:4,NA,5),var3=c(1:5,NA),var4=rnorm(6,15),var5=runif(6,0.2),var6=rep(NA,6))
?dat1[rowSums(is.na(dat1[,c("var1","var2","var3")]))==0,]
?var1 var2 var3???? var4????? var5 var6
4??? 1??? 4??? 4 16.59528 0.5981594?? NA
A.K.
----- Original Message -----
From: Eiko Fried <torvon at gmail.com>
To: r-help at r-project.org
Cc:
Sent: Thursday, July 5, 2012 1:25 PM
Subject: [R] Exclude missing values on only 1 variable
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In order to plot data I need to remove missings.
If I do
> data <- na.omit(data)
that will reduce my dataset to 2% of its original size ;)
So I only need to listwise delete missings on 3 variables (the ones I am
plotting).
data$variable1 <-na.omit(data$variable1)
does not work.
Thank you
??? [[alternative HTML version deleted]]
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Hi,Try this: