search for: multcompview

...etween virus groups as it is obtained through library(agricolae). The code used it was the following: library(userfriendlyscience) data(sweetpotato) oneway<-oneway(sweetpotato$virus, y=sweetpotato$yield, posthoc = 'games-howell') oneway I try with cld() importing previously library(multcompView) but doesn't work. Can somebody could helps me? Thanks in advance, David Bars.

Hello, I am interested in generating a compact letter display for the results of Tukey HSD tests that contain interaction effects. The 'cld' method in the 'multcomp' package seems only to work for main effects. Does such a thing exist already? Thank you for any thoughts, Josh -- Joshua Caplan, PhD Postdoctoral Associate Department of Ecology, Evolution, and Natural Resources

Hi all, Is there a R-function that orders Tukey results with conveniant letters, similar to the SPSS output (A, AB, ABC, C, etc.) . [[alternative HTML version deleted]]

Hallo, we are trying to extend the R package multcompView in agreement with the author Hans-Peter Piepho. The function multcompLetters implements so far a heuristic. We would like to add a function that implements an exact algorithm and returns a provable optimum result. This algorithm has been implemented in Objective Caml and we would like to...

Hi, I would like to ask how the paste(S1, S2, sep="") function internally works. Are the two stings copied to a new String? I have a program where successively strings are build up. First the program calls an external function and depending on the result it builds up strings to visualize the result. The external function is really fast, also for huge input data. But the

Hi! I have been working several years with R but it's my first public question. I hope I'll be clear :) . This question is related to obtaining letter-based representation of non-parametric pairwise comparisons. I have a dataframe with this structure (but with quite more rows and cols): A B C factor 1 2 2 one 2 1 2 one 2 2 3 two 2 3 2 two 1 4 2 three 9 8 1 three I have no normality,

Hi list, I have a question regarding post-hoc extraction of data from a two-way categorical anova. I have a categorical anova of this form: width ~ steepness + patchiness (4 steepness levels, 4 patchiness levels) This simple setup answers if for the widths I collected across different levels of steepness and patchiness significant differences can be found. Is there a way to look at these

...packages: coda lme4 Matrix car cacheSweave stashR "0.10-7" "0.9975-13" "0.9975-11" "1.2-1" "0.3" "0.2-1" filehash digest circular boot gmodels multcompView "0.9-4" "0.2.3" "0.3-6" "1.2-27" "2.13.2" "0.1-0" reshape vcd colorspace effects Hmisc acepack "0.7.2" "1.0-3" "0.95" &qu...

Hello dear R-help mailing list, A friend of mine teaches a regression and experimental design course and asked me the following question. She is trying to find a way to display the "homogeneous groups" (after performing tukey test on an aov object). here's an example for what she means by "homogeneous groups": She did one way anova and got these results for tukey test:

I am a new R user but a long time SAS user. I searched for a response to this question but no luck, so forgive me if this topic has been covered before. I am running a TukeyHSD post hoc test after running an ANOVA. I get the results of all pairwise comparisons, no problem. However, the output table is a little "busy", and I'd like to make the output easier to read. Specifically, I

CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>