Performs a hypothesis test that a linear model parameter is equal to a specific value.
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"))object |
A |
term |
A single numeric that indicates which term in the model to use in the hypothesis test. |
bo |
The null hypothesized parameter value. |
alt |
A string that identifies the “direction” of the alternative hypothesis. The strings may be |
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.
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.
Derek H. Ogle, derek@derekogle.com
# Simple linear regression test HA:slope!=0.1 lm1 <- lm(mirex~weight, data=Mirex) hoCoef(lm1,2,0.1)
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