mixlm (version 1.4.0)

CIgrandMean: Confidence interval for the grand mean of a linear model

Description

This function estimates the confidence interval for the grand mean of a balanced linear (mixed) model.

Usage

CIgrandMean(object, alpha = 0.05)
# S3 method for CIgm
print(x, ...)

Value

CIgrandMean returns a vector of interval endpoints and center. print.CIgm has no return.

Arguments

object

An lm object possibly containing random effects.

alpha

A scalar significance level for the confidence interval.

x

An object returned from CIgrandMean.

...

Additional arguments (not used).

Author

Kristian Hovde Liland

Details

This implementation is only valid for models containing no continuous effects and only balanced data.

References

Suggestions are welcome.

Examples

set.seed(42)
dataset   <- data.frame(y=rnorm(8), x=factor(c(rep(1,4),rep(0,4))), z=factor(rep(c(1,0),4)))
mixlm <- lm(y~x*r(z), data = dataset)
CIgrandMean(mixlm)