similar to: Posthoc tests for ANOVA

Dear R-users and expeRts, can anyone provide me (and others as well, of course) with reference of companies, scientific labs and/or schools where R is being used? Or does some (even unofficial) list of comanies etc. where R is being used exist? I tried to find such an information on R's homepage and on a FAQ page, but unsuccesfully. (Of course, searching through this r-help conference one

Dear List, I frequently use the data() function to load csv files (with separator ";") into R session, typically data(myfile) loads myfile.csv from my working/data directory into R. Now, in 1.4.0 version, everything works as expected, but with one difference: The values readed in older versions in "num" mode are now readed as "int" mode, converting the values

Hi R-people, I am wanting to run Factorial ANOVA followed by Scheffe tests on some spatial subjective data. I'm comparing X-Y independent coordinates against x-y dependent coordinates. There are only four independent spatial coordinates that form a square. I am wondering whether I am doing the right thing, because there doesn't seem to be a simple way of doing this. I have attempted to

Hello ALL: I am looking for multiple comparison tests for ANOVA models. Does R have any of these? Fisher least significant difference test. Tukey henestly significant difference test. Newman - Keul test. Dunnett's test Scheffe test. Thank you, ANDREW -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

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 List, is there an elegant (or even not elegant) way how to transform dissimilarity or distance matrix A (or, in general, arbitrary symmetrical matrix) by transposition of rows and columns into a form closest to "block diagonal" matrix B? The matrix A is adjusted the following way A[A<epsilon] <-0 #(epsilon is given "small" number) B: (in its ideal form)

I'm experiencing segmentation faults from time to time that abruptely end my R sesion. In such cases, is there any way to recover the work done? (i.e., is there any temporal file that I could use?) Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

Dear List, I have found that moving the csv file to [working directory]\data directory solves my "problem", the file was loaded correctly. But I thought that R serches in all packages\data AND the [workdir]\data dirs, as mentioned in help. >?data Is this as problem or am I missing something important? (the latter is more probable :), but then why the behaviour is different from

Hello, in order to vectorize task (of plotting barplots), I use, as probably all R-folks, function apply() instead of for() loop. <R> testarr<-matrix(1:30, nrow=5) rownames(testarr)<-letters[1:5] colnames(testarr)<-LETTERS[1:6] apply(testarr,1,function(x) {x11(); barplot(x)}) #the funcion used is actually more compex, but it doesn't matter </R> Now, how I can propagate

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'

Anyone know of a package for numerically estimating lambda(3) and lambda(4) using location, position, skew and kurtosis estimates. I have a distribution and would like to use the gld package to do some simulations of the distribution, but need the lambda estimates to feed into gld. I have a program in Maple, which I may convert to C code for use in R, but before moving down that road I

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

Hello! Can I use DBM databases (as they are used in Perl) for the import of large datasets in R? Thanks in advance for your help, Petra Steiner - --------------------------------------------------- Petra Steiner Arbeitsbereich Linguistik Universitaet Muenster Huefferstrasse 27 48149 Muenster

Hello, As a new user of R (less than a month) I have got my hands on several books and am pouting through the net looking for help in gaining understanding of this powerful tool. I am becoming more proficient with using basic functions to conduct basic statistics. I am now looking to learn how to write code. After a few small worthless functions I decided to try to create a function that was

What is the generally accepted way to put certain math symbols into plain text email? For example, how does one convey the "is exactly equal to", "is approximately equal to", and "delta" symbols in a standard text-based (e.g. Courier) font? Dr. Marc R. Feldesman email: feldesmanm at pdx.edu email: feldesman at attglobal.net fax: 503-725-3905

Hello! I use the version 1.4.0 for Windows. I have made boxplots but only half of the symbols (three letters each) show up on the X-axis? How t can one change their size or orientation so that all show up? I attach the pdf file to illustrate better the problem. Regards Martin Martin Lascoux Department of Conservation Biology and Genetics Evolutionary Biology Center Norbyv?gen 18D 75236

Hi All, I have performed a 3-way ANOVA analysis for my experimental data using aov function. My simple R funtion for this is: 3aof <- function(x){ m <- data.frame(R,S,T, x); anova(aov(x ~ R+S+T+R*S+R*T+S*T+R*S*T, m) ) } Now, I am getting P values for all the main and interactions effects. If I want to perform postdoc test on one of my main effects, say T, what method I should use (i have

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, This is a very trivial question, and I do not know why I cannot remember the answer at all! How does one get the entire system information (which OS, R version....etc) using an R command? Thanks, Kevin ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Postgraduate PGDipSci Student Department of Statistics University of Auckland New Zealand