se: Computes standard error of the mean.

In zanbi/FSA-Fisheries-Stock-Assessment-: Simple Fisheries Stock Assessment Methods

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.

Author(s)

Derek H. Ogle, [e-mail]

See Also

See se in sciplot for similar functionality.

Examples

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)

zanbi/FSA-Fisheries-Stock-Assessment- documentation built on Dec. 23, 2021, 9:12 p.m.