| ho.coef {NCStats} | R Documentation |
Performs a hypothesis test that a parameter in a linear model is equal to some specific value. Useful for testing that a parameter is equal to some value other than 0.
ho.coef(lmobj,term=2,bo=0,alt=c("two.sided","less","greater"))
lmobj |
A lm object. |
term |
A number indicating which term in the model to use in the hypothesis test. |
bo |
The null hypothesized parameter value. |
alt |
A string identifying the "direction" of the alternative hypothesis. See details. |
The “direction” of the alternative hypothesis is identified by a string in the alt argument. The strings may be "less" for a “less than” alternative, "greater" for a “greater than” alternative, or "two.sided" for a “not equals” alternative (the DEFAULT).
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.
Returns a matrix containing the term number, hypothesized value, parameter estimate, standard error of the parameter estimate, t test statistic, and corresponding p-value.
Derek H. Ogle, dogle@northland.edu
data(Mirex) attach(Mirex) # Simple linear regression test HA:slope!=0.1 lm1 <- lm(mirex~weight) ho.coef(lm1,2,0.1) detach(Mirex)