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FSA (version 0.8.11)

se: Computes standard error of the mean.

Description

Computes the standard error of the mean (i.e., standard deviation divided by the square root of the sample size).

Usage

se(x, na.rm = TRUE)

Arguments

x
A numeric vector.
na.rm
A logical that indicates whether missing values should be removed before computing the standard error.

Value

A single numeric that is the standard error of the mean of x.

See Also

See se in sciplot for similar functionality.

Examples

Run this code
x <- 1:20
sd(x)/sqrt(length(x))
se(x)

# all return NA if missing values are not removed
x2 <- c(x,NA)
sd(x2)/sqrt(length(x2))

# Better if missing values are removed
se(x2,na.rm=FALSE)
sd(x2,na.rm=TRUE)/sqrt(length(x2[complete.cases(x2)]))
se(x2)

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