-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi. Sorry for sending this question twice, but I would really like to know your opinion on this topic.
I have been reading about the (in)convenience of using least-squares means (a. k. a. adjusted means) in multiple comparisons (I used to resort to them when using SAS). I even read a post in this list warning against them, but not giving much detail. What is your opinion? Should I avoid using LSmeans for comparison (e.g. after ANOVA)? Greetings. Felipe ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -----BEGIN PGP SIGNATURE----- iEYEARECAAYFAkMulV4ACgkQWtdQtNzjBl6QpwCfXYweOQWipAYY2ZZFiDYuAiwJ LQYAnicmypM4yZhzMztRmZvppTZWes1z =696Z -----END PGP SIGNATURE----- ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html