psychometric (version 2.4)

CI.Rsqlm: Confidence Interval for Rsq - from lm()

Description

Computes the CI for a desired level based on an object of class lm()

Usage

CI.Rsqlm(obj, level = 0.95)

Value

Returns a table with 4 elements

Rsq

Squared Multiple Correlation

SErsq

Standard error of Rsq

LCL

Lower Confidence Limit of the CI

UCL

Upper Confidence Limit of the CI

Arguments

obj

object of a linear model

level

Significance Level for constructing the CI, default is .95

Author

Thomas D. Fletcher

Details

Extracts the necessary information from the linear model object and uses CI.Rsq

References

Olkin, I. & Finn, J. D. (1995). Correlation Redux. Psychological Bulletin, 118, 155-164.

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum.

See Also

CI.Rsq

Examples

# Generate data 
x <- rnorm(100)
z <- rnorm(100)
xz <- x*z
y <- .25*x - .25*z + .25*x*z + .25*rnorm(100)
# Create an lm() object
lm1 <- lm(y ~ x*z)
CI.Rsqlm(lm1)