Hi, I have a matrix of results of multiple 2x2 chi^2 tests, non- significant tests are marked as TRUE. Is there a function for grouping those variables in a similar way LSD.test from agricolae library does? I reviewed LSD.test's source but it's not helpful for me.
This is my matrix: [,1] [,2] [,3] [,4] [,5] [,6] [,7] 1 TRUE FALSE TRUE TRUE TRUE FALSE TRUE 2 FALSE TRUE FALSE FALSE FALSE FALSE FALSE 3 TRUE FALSE FALSE FALSE TRUE FALSE FALSE 4 TRUE FALSE FALSE TRUE TRUE TRUE TRUE 5 TRUE FALSE TRUE TRUE TRUE TRUE TRUE 6 FALSE FALSE FALSE TRUE TRUE TRUE TRUE 7 TRUE FALSE FALSE TRUE TRUE TRUE TRUE And I'd like to get similar output to this (LSD.test): Groups, Treatments and means a oo 36.9 a ff 36.33333 b cc 24.4 c fc 12.86667 For example, there's a group of variables 4, 5, 6, & 7 that don't significantly differ from each other. Is there any _simple_ way to mark all of them as a group? If you have any ideas, I'd be grateful. Thanks in advance, Timo ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
