se: Calculate standard error
In jbryer/VisualStats: Visualizations for Statistical Tests

View source: R/se.R

se	R Documentation

Calculate standard error

Description

If x is a numeric vector with more than two unique values, this returns the standard error of the mean using the following formula:

Usage

se(x, proportion = length(unique(x)) == 2, na.rm = TRUE)

Arguments

`x`	a numeric vector to calculate the standard error for.
`proportion`	whether to use the standard error for a proportion.
`na.rm`	a logical evaluating to `TRUE` or `FALSE` indicating whether `NA` values should be stripped before the computation proceeds.

Details

se = \frac{s}{\sqrt{n}}

where s is the sample standard deviation and n is the sample size.

If proportion = TRUE (which is the default when there are only two unique values in x) this returns the standard error for a proportion using the following formula:

se = \frac{p\(1 - p)}{n}

where p is the proportion of success and n is the sample size.