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