lmSupport (version 2.9.13)

modelCompare: F-tests for nested models

Description

Calculates F-test to compare two models to determine if ModelA significantly reduces SSE from ModelC. Also reports Partial eta2 and Delta R2 for this model comparison. ModelC should contain subset of ModelA regressors.

Usage

modelCompare(ModelC, ModelA)

Arguments

ModelC

a linear model, produced by lm. This compact model should include a subset of regressors from ModelA

ModelA

a linear model, produced by lm

Value

Returns a list with results for model comparison, sses, and other relevant fields

Details

Calculates F test for model comparison F = ((sseC - sseA)/ (pA - pC)) / (sseA / (N-pA)) ndf = pA - pC ddf = N -P

Examples

# NOT RUN {
##NOT RUN
##mC = lm(FPS~BAC, data=BAC)
##mA = lm(FPS~BAC+TA, data=BAC)
##modelCompare(mC, mA)
# }