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I'm trying to use the smean.sd function in the Hmisc package in R. The function descriptions in the manual says describe what these functions do: "Compute Summary Statistics on a Vector"

I've pasted the details below because I do not understand the statistical language used. I am looking for a function that removes outliers from a vector and returns the mean and the standard deviation. Am I right in thinking that all the functions mentioned below do this to some extent?

"A number of statistical summary functions are provided for use with summary.formula and summarize (as well as tapply and by themselves). smean.cl.normal computes 3 summary variables: the sample mean and lower and upper Gaussian confidence limits based on the t-distribution. smean.sd computes the mean and standard deviation. smean.sdl computes the mean plus or minus a constant times the standard deviation. smean.cl.boot is a very fast implementation of the basic nonparametric bootstrap for obtaining confidence limits for the population mean without assuming normality. These functions all delete NAs automatically. smedian.hilow computes the sample median and a selected pair of outer quantiles having equal tail areas." From; http://cran.r-project.org/web/packages/Hmisc/Hmisc.pdf

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 Since this is not a mathematical question, won't you have more luck at SO? – Gjergji Zaimi Apr 10 2010 at 4:32
Actually, I think this is a question about statistical terminology and concepts, as the original poster says. However, one of the sites listed in the FAQ might be useful as well as (or instead of) going to SO... – Yemon Choi Apr 10 2010 at 18:55
Yemon- Be that as it may, I don't think "please read this software manual for me" is an appropriate use of MO. – Ben Webster♦ Apr 10 2010 at 20:03

closed as off topic by Harry Gindi, Gjergji Zaimi, Steve Huntsman, Ben Webster♦ Apr 10 2010 at 4:59

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