MBESS (version 4.4.3)

F.and.R2.Noncentral.Conversion: Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square.

Description

Given values of test statistics (and the appropriate additional information) the value of the noncentral values can be obtained. Likewise, given noncentral values (and the appropriate additional information) the value of the test statistic can be obtained.

Usage

Rsquare2F(R2 = NULL, df.1 = NULL, df.2 = NULL, p = NULL, N = NULL)
F2Rsquare(F.value = NULL, df.1 = NULL, df.2 = NULL)
Lambda2Rsquare(Lambda = NULL, N = NULL)
Rsquare2Lambda(R2 = NULL, N = NULL)

Arguments

R2

squared multiple correlation coefficient (population or observed)

df.1

degrees of freedom for the numerator of the F-distribution

df.2

degrees of freedom for the denominator of the F-distribution

p

number of predictor variables for R2

N

sample size

F.value

The obtained F value from a test of significance for the squared multiple correlation coefficient

Lambda

The noncentral parameter from an F-distribution

Value

Returns the converted value from the specified function.

Details

These functions are especially helpful in the search for confidence intervals for noncentral parameters, as they convert to and from related quantities.

See Also

ss.aipe.R2, ci.R2, conf.limits.nct, conf.limits.ncf

Examples

# NOT RUN {
Rsquare2Lambda(R2=.5, N=100)
# }