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..." for a list. Type "demo()" for some demos, "help()" for on-line help, or "help.start()" for a HTML browser interface to help. Type "q()" to quit R. > library(fox) > data(Moore) > attach(Moore) > mod.full<-lm(conform~status*fcategory) > summary(mod.full) Call: lm(formula = conform ~ status * fcategory) Residuals: Min 1Q Median 3Q Max -8.6250 -2.9000 -0.2727 2.7273 11.3750 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 11.8571 1.7307...

...too large to post here, but I can confirm that I get the expected results from the examples in ?Anova, as well as for type = 'II' on my own data. This output, and relevant options() and sessionInfo are pasted below. What am I doing wrong? Thanks, Tyler > mod <- lm(conformity ~ fcategory*partner.status, data=Moore, + contrasts=list(fcategory=contr.sum, partner.status=contr.sum)) > Anova(mod) Anova Table (Type II tests) Response: conformity Sum Sq Df F value Pr(>F) fcategory 11.61 2 0.2770 0.759564 partner.status...

Dear experts, I just noticed that I get different results conducting type III anova using drop1 or the Anova command from the car package. I suppose I made a mistake and hope you can offer me some help. I have no idea where I got wrong and would be very grateful for explaination as R is new terrain for me. If I run the commands in line, they produce the same results. But if I run them in

Dear All I am trying to use Levene's test (of package car), but I do not understand quite well how to use it. '?levene.test' does not unfortunately provide any example. My data are in a data frame and correspond to 4 factors plus response. Could someone please give me an example about how to use the command levene.test(y, group) ? Thanks in advance, Paul