seX: Functions to Compute Measures of Central Tendency and Spread. seX!
Description
These functions compute various measures of central tendency and spread.
These functions return a vector containing the measure of central tendency,
as well as that measure +/- the requested spread. seX is a little
different from the others in that it simply returns the standard error of x,
hence seX. Haven't we always needed a function for seX?
Usage
seX(x)
seXy(x)
seXy95(x)
seXyIqr(x)
seXyMad(x)
Arguments
x
A vector of numeric values whose measure of central tendency and
spread are to be computed.
Value
For all but seX, a vector of 3 numeric values, giving the
measure of central tendency, that measure + the spread, and that measure -
the spread.
For seX, a single value giving the standard error of x.
Functions
seX: standard error of x
seXy: mean +/- the standard error
seXy95: mean +/- the standard error at 95% conf. interval