"Standard error" usually means the estimated standard deviation of a parameter estimate, e.g. the sample mean.
Perhaps you mean the estimated standard deviation of the data. If so sdev <- sd(x, na.rm = TRUE) If you want the standard error of the mean there are several ways of doing it. Perhaps the simplest is seMean <- sd(x, na.rm=TRUE)/sqrt(length(na.omit(x))) missing values complicate the issue just a little. Bill Venables. ________________________________________ From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of Mcdonald, Grant [grant.mcdonal...@imperial.ac.uk] Sent: 29 August 2009 04:50 To: r-help@R-project.org Subject: [R] std.error dear sir, i am trying to calculate the standard error of my data (x), i have tried se(x, na.rm=TRUE) and std.error(x) neither have worked and i cannot find an alternative sorry to bother with such a basic problem ______________________________________________ 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.
