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

Details

These functions include na.omit.

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

• seXyIqr: median +/- the 1st and 3rd quantile

• seXyMad: median +/- median absolute deviation

Author(s)

Bryan A. Hanson, DePauw University.

References

https://github.com/bryanhanson/ChemoSpec

Examples

x <- rnorm(100)
seX(x)
seXy(x)
seXy95(x)
seXyMad(x)
seXyIqr(x)