Performs a hypothesis test that a linear model parameter is equal to a specific value. Useful for testing that a parameter is equal to a value other than 0.
hoCoef(object, term = 2, bo = 0, alt = c("two.sided", "less", "greater"))A lm object.
A single numeric that indicates which term in the model to use in the hypothesis test.
The null hypothesized parameter value.
A string that identifies the “direction” of the alternative hypothesis. The strings may be "less" for a “less than” alternative, "greater" for a “greater than” alternative, or "two.sided" (DEFAULT) for a “not equals” alternative.
A matrix that contains the term number, hypothesized value, parameter estimate, standard error of the parameter estimate, t test statistic, degrees-of-freedom, and corresponding p-value.
The “direction” of the alternative hypothesis is identified by a string in the alt argument.
If the lm object is from a simple linear regression with an intercept then term=1 will use the intercept and term=2 will use the slope in the hypothesis test.
# NOT RUN {
# Simple linear regression test HA:slope!=0.1
lm1 <- lm(mirex~weight, data=Mirex)
hoCoef(lm1,2,0.1)
# }
Run the code above in your browser using DataLab