Hi, May be this helps: set.seed(24) A <- matrix(sample(c(NA,rnorm(1500)),1500,replace=FALSE),nrow=500) par(mfrow=c(ncol(A),1)) lapply(split(A,col(A)),function(x) acf(na.omit(x))) A.K.
----- Original Message ----- From: Zilefac Elvis <zilefacel...@yahoo.com> To: "r-help@r-project.org" <r-help@r-project.org> Cc: Sent: Sunday, June 23, 2013 1:29 PM Subject: [R] Apply acf to data frame containing 'NA' Hi, I have a data frame with each column representing a separate site. Following this code, I can apply acf to all columns in A. 'A' contains randomly generated data. A <- matrix(rnorm(1500),nrow=500) par(mfrow=c(ncol(A),1)) lapply(split(A,col(A)), acf) #OR lapply(split(A,col(A)), function(snow) acf(snow, lag.max=5)) Problem: Some of my data contains 'NA' in some of the columns. I get this error "Error in na.fail.default(as.ts(x)) : missing values in object" How can I resolve this problem? Thanks. AE. [[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.
