normCI: Confidence Intervals for Mean and Standard Deviation

In MKmisc: Miscellaneous Functions from M. Kohl

Confidence Intervals for Mean and Standard Deviation

Description

This function can be used to compute confidence intervals for mean and standard deviation of a normal distribution.

Usage

normCI(x, mean = NULL, sd = NULL, conf.level = 0.95, na.rm = TRUE)

Arguments

x	vector of observations.
mean	mean if known otherwise NULL.
sd	standard deviation if known otherwise NULL.
conf.level	confidence level.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.

Details

The standard confidence intervals for mean and standard deviation are computed that can be found in many textbooks, e.g. Chapter 4 in Altman et al. (2000).

Value

A list with class "confint" containing the following components:

estimate	the estimated mean and sd.
conf.int	confidence interval(s) for mean and/or sd.
Infos	additional information.

Author(s)

Matthias Kohl [e-mail]

References

D. Altman, D. Machin, T. Bryant, M. Gardner (eds). Statistics with Confidence: Confidence Intervals and Statistical Guidelines, 2nd edition 2000.

Examples

x <- rnorm(50)
## mean and sd unknown
normCI(x)
## sd known
normCI(x, sd = 1)
## mean known
normCI(x, mean = 0)

MKmisc documentation built on Nov. 20, 2022, 1:05 a.m.