se: Computes standard error of the mean.

In FSA: Simple Fisheries Stock Assessment Methods

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.

Details

The standard error of the value in vector x is simply the standard deviation of x divided by the square root of the number of valid items in x

Value

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

Author(s)

Derek H. Ogle, [e-mail]

See Also

See se in sciplot for similar functionality.

Examples

# example vector
x <- 1:20
se(x)
sd(x)/sqrt(length(x))   ## matches

# 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)              ## Default behavior
sd(x2,na.rm=TRUE)/sqrt(length(x2[complete.cases(x2)]))  ## Matches
se(x2,na.rm=FALSE)  ## Result from not removing NAs

FSA documentation built on April 4, 2025, 2:09 a.m.