similar to: SNK-test

Which possibilities are there in "R" for estimation of Variance components? Jörg Peter Baresel Technische Universität München Lehrstuhl für Pflanzenbau und Pflanzenzüchtung D-85354 Freising Lange Point 51 [[alternative HTML version deleted]]

Being relatively new to R, I want to use R in connection with a MySQL database. After installing (apparently sucessfully) the package RMySQL (R Version 1.6.2) the result is as follows: > library(RMySQL) > con <- dbConnect(MySQL(), dbname= "test") Error: couldn''t find function "dbConnect" Thank You in advance for help Peter Jörg Peter Baresel Technische

Hi, The following seems to be a bug introduced with version 1.8.0 (it worked without error on my installation of version 1.7.0): > test <- data.frame(time = I(c("2003-08-19:22:55:57"))) > test[["time"]] <- strptime(test[["time"]], format = "%Y-%m-%d:%H:%M:%S") Error in "[[<-.data.frame"(`*tmp*`, "time", value =

Jose - Before implementing SNK and Duncan's, you may want to be aware of some criticisms of these methods: >From Hsu (1996), "Newman-Keuls multiple range test is not a confident inequalities method and cannot be recommended." "Duncan's multiple range test is not a confident inequalities method and cannot be recommended either. In the words of Tukey (1991),

Hola de nuevo R-Users, me he dejado cosas para aclara. Primero de todo tengo cinco repeticiones y 20 missings, así que mi n es de 5×10×3×5-20= 730 datos en total, todos los grupos tienen al menos 3 representantes. Segundo: Las variables estudiadas son Producción neta, Peso de 100 semillas y Proteína. Tercero: Observo los mismos genotipos (G) en varios años (A) en las misma localidades

Here is a little patch against 2.9p1 that performs the SNK (also known as TIS authserv) challenge-response automaticly instead of asking the user. hope you find it useful. --larry -------------- next part -------------- diff -NuBw openssh-2.9p1/Makefile.in openssh/Makefile.in --- openssh-2.9p1/Makefile.in Thu Apr 26 20:31:08 2001 +++ openssh/Makefile.in Wed Jun 6 16:15:56 2001 @@ -43,9 +43,9

Queridos R-users: Tengo una duda que hace mucho tiempo que estoy intentando resolver, os explico a modo de ejemplo: Tengo estos efectos: Año(5 niveles),Localidad (10 niveles) y genotipo (3 niveles), año y localidad son aleatorios y genotipo es fijo (los he escogido yo). Me gustaría hacer obtener una tabla parecida a la Tabla Anova donde aparezca cada factor y sus interacciones y

Hello everyone, Like a lot of people, I have been looking for functions in R doing ANOVA (ok) and performing multicomparisons (like Student-Newman-Keuls, etc.). As I have been a little bit disappointed, I have bee looking through the net for such "open source" softwares. I found one in: http://www.statpages.org/miller/openstat/OS4.html I have begun to use it, and it seems good and

J'aimerais savoir si la fonction merge() est la seule disponible pour concatener des tableaux de donn?es? Est-ce normal que l'ex?cution soit lente?

Hi, we are just about to evaluate R as a standard statistics package for our institute. We looked around the help - manual, the FAQ, etc. and did not find anything for the topics of random factors in ANOVA, repeated measures in ANOVA, or within subjects designs in R. Could anyone point us to any information concerning - univariate approach to repeated measures anova - multivariate

Hi there, I want to generate a large amount of functions, say f=function(x,t) exp(-t[1]-t[2]*g_1(x)-t[3]*g_2(1+x)) where g_1(x) and g_2(x) are from a long list of moments, such as x, x^2, log(x), log(1+x) .. and so on. Any suggestions on how to do this efficiently? thanks a lot. x.w

hello, I have programmed this function to calculate the Neuman-Keuls test but I have a problem the function return an empty list and I don't know why. summary(fm1) E <- sqrt((summary(fm1)[[1]]["Residuals","Mean Sq"])/length(LR)) lst <- list() lst1 <- list() lst2 <- list() NK <- function (x) { if (length(x) == 2) { Tstudent <- t.test(subset(exple,

bonjour, je vous écris pour savoir si vous aviez trouver réponse pour l'écriture du test de Newman & Keuls sous R car j'en ai aussi besoin merci encore cordialement. --------------------------------- [[alternative HTML version deleted]]

Hello, I am interested in parametric multi comparison tests such as Dunnett, Duncan, Tukey, Newman-Keuls, Bonferonni, Scheffe, and non-parametric tests such as Kruskal-Wallis, and Mann-Whitney U. Are there packages that include most of these tests in each category? Many packages exist for an individual test but their outputs vary in great detail (test statistics, p-values, etc.)

Greetings all, I've done some ANOVAs and have found significant effects across my groups, so now I have to do some post-hoc tests to ascertain which of the groups is driving the significant effect. Usually one would do something like a Newman-Keuls or Scheffe test to get at this but based on googling and browsing through the r-help archives R doesn't support these and they seem to be

Hello everybody, shame on me if I have overlooked something (CRAN, StatLib), but I think I've searched carefully. Maybe it's just too obvious to see for me (happens frequently). Is a function available that extracts multiple comparison of means from objects produced by "aov()" ? Sorry if the term is not correct, I translated from german word by word ("Multiple

Hi, everyone. GAD package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and "a posteriori" comparisons of means are done using

Hi, I'm trying to make sense of the options for multiple comparisons options in R. I've found the following options: pairwise.t.test, which provides standard t-tests, with options for choosing an appropriate correction for multiple comparisons TukeyHSD, which provides the usual Tukey test glht(package multcomp), which provides a variety of options >From the help list, it appears

In the model: lm.1 <- lm(variable ~ BLOC + TIL * YEAR , data=selvanera) I found TIL*YEAR interaction significant. Then I am trying to compare means of the different levels of TIL inside every YEAR using: mc.2 <- glht(lm.1, linfct = mcp(TIL*YEAR="Tukey")) summary(mc.2, test = univariate()) but it does not work. There is any way of doing this, like the SLICE option in

Dear R-users, I have a basic question about how to determine the antilog of a variable. Say I have some number, x, which is a factor of 2 such that x = 2^y. I want to figure out what y is, i.e. I am looking for the antilog base 2 of x. I have found log2 in the Reference Manual. But I am struggling how to get the antilog of that. Any help will be appreciated! > version platform