similar to: ANOVA "ex post" Analysis (fwd)

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

Hello everybody, I frequently have to produce barplots from variables the natural variation of which is far away from zero. A typical range would be, say from -16 to -28. So, the following example should give an "honest" presentation: x<-c(-20,-22,-21,-28) barplot(x,beside=T,ylim=c(-18,-30)) But using anything else but "0" for the first element of ylim leads to strange

In Win95/NT you can use xgobi (program and R interface) as well, provided you will install an x-server on your machine (a free one is available from http://www.microimages.com/freestuf/mix/). Regards! Zdenek Skala ***************************************************** Uli Flenker wrote: I'm not familiar with S/S+, but I think the "xgobi" software package can do what you want

Hello everybody, since I installed R-0.90.0 (Linux 2.0.25) I have problems with generating printable output with 'help()'. Default output to the terminal ('echo $PAGER' gives 'less') works o.k.. When invoking 'help(topic,offline=T)' all the usual procedures seem to start: 'top' reports invocation of latex as well as of dvips. But after finishing there is

Dear R-experts, I have a problem to formulate non linear mixed effects when more than one explanatory variable is present. I'm using R 1.1.1 under Linux. The version number of the nlme library is 3.1-7. "help(nlme)" says that among several possibilities it is possible to code fixed effects according to fixed = a1 + a2 + ... + an ~ X1 + X2 + ... + Xm where the left hand side

Dear R-helpers, I frequently run into problems when I modify elements of factors (R 1.0.0, Linux 2.0.25). For example, after splitting a data frame accordinng to whatever criterion, it might well happen that not all levels of a factor are present in all new data frames. However, R doesn't seem to care about. When performing some kind of analysis seperately on the new frames, each time the

Dear all, I have a problem formulating random effects when using the nlme package. ?nlme says that the random effects can be a formula or a list of formulae. But when trying to do so, I run into trouble. (R-1.2.2, nlme-3.1-10, Linux) library(nlme) example(nlme) # works nice ... fm1 # the fitted model ### Trying to update with different random effects

Hello everybody, I observed some strange behaviour of R (0.64.1/Linux 2.0.25) when trying to use FORTRAN-libraries. I first downloaded "ALGORITHM AS 304" from StatLib. All I changed at the code, was to substitute "REAL"-routines by "DOUBLE PRECISION". Compiling went o.k.: > g77 -fpic -O2 -shared -o rtest.o fisher.f ("g77 --version" gives 2.7.2.1)

Hello everybody, I observed some strange behavior of R (0.64.1/Linux 2.0.25) when trying to use FORTRAN-libraries. I downloaded "ALGORITHM AS 304" from StatLib. All I changed at the code, was to substitute "REAL"-routines by "DOUBLE PRECISION". Compiling went o.k. ... > g77 -fpic -O2 -shared -o rtest.o fisher.f ("g77 --version" gives 2.7.2.1)

Dear R-helpers, for the first time since R-0.6x I have to face installation problem. I switched to a new Linux-box (SuSE 9.0) and installed as many libraries as possible. R-1.9.0.tgz went to /usr/local/lib and was extracted without problems. After running properly for a while, 'configure' (called without any switches) gave "configure: creating ./config.status" which was

Hi everybody ... I have to perform Hotteling's T^2 Test - more generally a MANOVA - on a set of data. Is there a (simple?) possibility to do it in R? The somewhat obvious way to do it would be > summary(aov(Y ~ x1 + x2 ... + xn)) where Y would be a two-column matrix. But this does not work in any possible combination of matrix or factor dimensions! Is it principally not possible

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.)

# Peter B. Mandeville kindly offered to send me code for Hotelling's T^2 # Test. Unfortunately there seems to be no route to his machine. # So i'm trying to reach him via the Mailing List. ------------------------------------------------------------------------ Sir, this morning i recieved your message about the availability of the code for Hotelling's Test. I hurried to find out

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, I send the message again with the data file as txt because it seems not to be accepted as csv in the R-help list. Data comes from a multiyear field experiment in which 4 levels of a treatment (2, 3, 4, 6) are compared to see the effect on yield. It is a randomized complete block design. The SAS code follows: options ls=95; data uno; infile 'data.txt'

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.

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

How can I perform a Student-Newman-Keuls-Test for multiple comparision of means in R? (I did not manage to find any specific function in the libraries) Jörg Peter Baresel Technische Universität München Institut für Ackerbau und INformatik im Pflanzenbau D-85354 Freising Lange Point 51 [[alternative HTML version deleted]]

hello, I need to groupe some means and I wonder how to do to get critical range table for tukey or for Neuman-Keuls I think it's possible to do that with the qtukey() function? thanks. _____________________________________________________________________________ [[alternative HTML version deleted]]

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