-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Thank you, I think multcomp is very near to what I was looking for. However, I am still looking for a mean to obtain least-squares (adjusted) means and std. errors of these means, and performing comparisons among these means, as the LSMEANS do in SAS. I have read other messages and have looked at car, effects and Design manuals, but I am not sure if this is what I am looking for. Any clue?
Felipe Dieter Menne wrote: | Felipe <felipe <at> unileon.es> writes: | | |>With the SAS/STAT, I generally used the MEANS (for comparison of |>arithmetic means) and the LSMEANS (for adjusted means) statements of the |>GLM procedure (I think it is equivalent to lm in R). They provided a lot |>of tests: LSD, Duncan, Tukey-Kramer, Bonferroni, Scheffé, SNK, etc. |>However, in R I have only discovered Tukey-HSD. | | | Package multcomp with the workhorse-function simint comes close to what you | want. | | | Dieter | | __ -----BEGIN PGP SIGNATURE----- iEYEARECAAYFAkMpo6UACgkQWtdQtNzjBl72rwCcCuw5qxD1BWsensDI71RzhNgL MUcAnA0Iq4tfoKSr/ymIV1nEZHZijvLW =pavA -----END PGP SIGNATURE----- ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
