[R] mixed model hypothesis testing

The following is a summary of what I have gathered about hypothesis testing with mixed-effects models. I would appreciate it if someone can clarify or correct this, or make any further comments on the topic. To test a single fixed effect: 1) Likelihood-ratio test (anova) using ML (not REML) is app

[R] print data frames without row names (within a list)

This should be an easy one, but I could not find the answer in the obvious places. one <- data.frame(a=c(1,2,3),b=c("x","y","z")) two <- data.frame(a=c(4,5,6),b=c("q","r","s")) > print(one) a b 1 1 x 2 2 y 3 3 z > print(one,row.names=F) a b 1 x 2 y 3 z So far, so good, but how do I do this