test option for linearHypothesis in library(car) include "Chisq" and "F". I prefer a simple t-test so that I can retrieve the standard error. Any options other than linearHypothesis to test the linear hypothesis (with 1 restriction/degree of freedom)?
> summary(ols1) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.20013 0.09199 -2.176 0.0298 * age 0.04054 0.01721 2.355 0.0187 * suburb 0.01911 0.05838 0.327 0.7435 smcity -0.29969 0.19175 -1.563 0.1184 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > linearHypothesis(ols1,"suburb") Linear hypothesis test Hypothesis: suburb = 0 Model 1: restricted model Model 2: polideo ~ age + suburb + smcity Res.Df RSS Df Sum of Sq F Pr(>F) 1 888 650.10 2 887 650.02 1 0.078534 0.1072 0.7435 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.