I use something like :
dataframe[ is.na(dataframe) ] <- 0 dataframe[ is.nan(dataframe) ] <- 0 dataframe[ is.infinite(dataframe) ] <- 0 -----Original Message----- From: "Olu Ola via R-help" [r-help@r-project.org] Date: 09/06/2015 06:24 PM To: r-help@r-project.org Subject: [R] Handling "NA" in summation Hello, I am currently working with a dataframe which has some missing values represented by "NA". whenever, I add two columns in which at least one of the pair of an observation is "NA", the sum returns zero. That is for the same observation, if dataframe$A = 20 dataframe$B = NA dataframe$A + dataframe$B returns zero. I do not want to delete the observations with the NA's. How do I go about carrying out the necessary operations without deleting the observations with the NA's Thank you ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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 -- To UNSUBSCRIBE and more, see 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.
