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2010 Jan 21
1
Simple effects with Design / rms ols() function
...~ Gender*UCS, data=exD) # run the model. UCS coefficient is for females summary(m.lm.f) contrasts(exD$Gender) <- contr.treatment(2, base=2) # set reference group to male m.lm.m <- lm(GPA ~ Gender*UCS, data=exD) # run the model. UCS coefficient is for males summary(m.lm.m) ## try to do the eqivelent with ols ## library(rms) dd <- datadist(exD) options(datadist="dd") dd$limits["Adjust to", "Gender"] <- "F" (m.ols.f <- ols(GPA ~ Gender*UCS, data=exD)) # run the model with gender adjusted to f dd$limits["Adjust to", "Gender&quo...