similar to: TukeyHSD output

Hello everybody, I use the sweetpotato database included in R package: data(sweetpotato) This dataset contains two variables: yield(continous variable) and virus(factor variable). Due to Levene test is significant I cannot assume homogeneity of variances and I apply Welch test in R instead of one-way ANOVA followed by Tukey posthoc. Nevertheless, the problems come from when I apply posthoc

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 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

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 reuse this code. We wrote an R function

Dear R-users. I'm struggeling to fix the superscript of a label of a figure axis. For some reason R doesn't recognize the "hat" symbol. plot(1,1,xlab="ligth intensity (PAR)",ylab=expression("mass Pteridium rhizomes" (gr/0.25m^2))) A very similiar scriptline does not give any problem at all: plot(1,1,xlab=expression("balsa plot basal

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I am interested in using "multcompLetters" after running "kruskalmc" but I'm a newbie and I'm not having luck figuring it out. I can run "kruskalmc" just fine, but after studying the documentation for "multcompletters" for a long time, I cannot figure out how to make it work. Any ideas? R input is below > >> #here is my data set >>

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

Hi, I use glht to make multcomp, using Tukey, from a glm model. It is possible to get a more simplified output of result? Somethink like ordering by letters. Thanks Ronaldo -- Human kind cannot bear very much reality. -- T. S. Eliot, "Four Quartets: Burnt Norton" -- > Prof. Ronaldo Reis J?nior | .''`. UNIMONTES/Depto. Biologia Geral/Lab. de Ecologia | : :' :

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

If you can get a vector with all the package names (I do not know how to do this) then you could do something like this; # Function to check and install missing packages install_if_missing <- function(pkg) { if (!require(pkg, character.only = TRUE)) { install.packages(pkg, dependencies = TRUE) } library(pkg, character.only = TRUE) } # List of required packages. packages <-

Strange because in my all my experiments calling malloc.trim always helped - memory reported by top decreased to the level it supposed to be. Do you have in mind case when calling malloc.trim won't do anything? Also shouldn't MALLOC_TRIM_THRESHOLD_ env variable has impact on malloc.trim calls? At the moment seems any value is ignored... 12 ???. 2017 ?. 6:09 ?? ???????????? "Simon

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,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Hi folks: Curious question. I've added Rcmdr to my setup (R 4.4.1). I would like to add all of the plugins. Is there a way to get install.packages() to gather up everything starting 'rcmdrplugin', or do I have to list each package individually between the brackets?? ?? Regards... - -- Brian Lunergan Russell, Ontario Canada -----BEGIN

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:

Hi all, I'm planning to build a VOIP solution for handling SIP calls coming from endpoints registered on a specific SIP proxy...I made some research regarding network architecture and found out that the best solution is to use OpenSips as SIP proxy for registration and local calls between registered endpoints and use asterisk server with a2billing for PSTN calls, rating, routing and all other

Hi All, Does anyone know how to get contrast statements or an output similar to TukeyHSD when doing survival analysis with the coxph function? Thanks, Adriana -- View this message in context: http://r.789695.n4.nabble.com/TukeyHSD-responses-in-R-tp2530120p2530120.html Sent from the R help mailing list archive at Nabble.com.

Hello, I think that to apply the Neuman-Keuls test under R it's possible with the TukeyHSD function and I know that to do a Neuman-Keuls test I have to sort the means but I can't use the TukeyHSD function I don't understand how to do to apply this function to my data. In the R help they use the TukeyHSD function to a aov() do you think that I have to do teh same? thanks.

R Version 2.0.0 Under development (unstable) (2004-05-07) I have been wanting to use TukeyHSD for two and three way aov's, as they are especially simple for students to use correctly. I realize model simplification is usually a preferred methodology, but my disciplinary enertia and simplicity of TukeyHSD is also compelling. However, the lack of names on the comparisons for the higher order

simint and TukeyHSD work for aov objects. Can someone point me to similar functions for lme objects? Dieter Menne