man/examples/waldTest.R

\dontrun{
# read in the example data (generated, not real student data)
sdf <- readNAEP(system.file("extdata/data", "M36NT2PM.dat", package = "NAEPprimer"))

# example with glm model
myLogit <- logit.sdf(dsex ~ b017451 + b003501, data = sdf, returnVarEstInputs = T)

# single coefficient integer
waldTest(model = myLogit, coefficients = 2)

# set of coefficients integer vector
waldTest(model = myLogit, coefficients = 2:5)

# specify levels of factor variable to test
waldTest(myLogit, c("b017451Every day", "b017451About once a week"))

# specify all levels of factor variable to test
waldTest(myLogit, "b017451")

# example with lm model
fit <- lm.sdf(composite ~ dsex + b017451, data = sdf, returnVarEstInputs = T)

waldTest(model = fit, coefficients = "b017451")

# examples with alternative (nonzero) null hypothesis values
waldTest(model = myLogit, coefficients = 2, H0 = 0.5)

waldTest(model = myLogit, coefficients = 2:5, H0 = c(0.5, 0.6, 0.7, 0.8))

waldTest(model = myLogit, coefficients = "b017451", H0 = c(0.5, 0.6, 0.7, 0.8))

waldTest(model = myLogit, coefficients = c("b017451Every day", "b017451About once a week"),
         H0 = c(0.1, 0.2))
}

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EdSurvey documentation built on May 2, 2019, 7:30 a.m.