Standard Error of Mean

Calculates the standard error of mean.

Usage

meanSE(x, sd = NULL, na.rm = FALSE)

Arguments

x

a non-empty numeric vector of data values

sd

the standard deviation of x. If supplied, it is interpreted as the population standard deviation. If NULL (default), the sample standard deviation sd(x) is used.

na.rm

logical. Should missing values be removed? Defaults to FALSE.

Value

the standard error as a numeric scalar

Details

meanSE() calculates the standard error of the mean defined as: $$\frac{\sigma}{\sqrt{n}}$$ \(\sigma\) being standard deviation of x and n the length of x.

See also

lumen::meanCI

Other dispersion: coefVar(), iqrX(), madX(), meanAD(), rangeX(), varX()

Examples

meanSE(Pizza$price, na.rm=TRUE)
#> [1] 0.6252242

# evaluate data.frame
sapply(Pizza[, 1:4], meanSE, na.rm=TRUE)
#>       index        date        week     weekday 
#> 10.04158022  0.26218843  0.03873807  0.05886462