similar to: From S-Plus to R

Dear R developpers, I am a user of Splus since many years and I have developped lots of functions to plot graph of data and model results of irregular or regular times series. In Splus regular times series are created using the rts function and irregular time series using the its functions. In both cases, times is given as a numeric vector. There is no problem in plotting a regular and an

Hi all, Has anyone got a function to perform clustering by Flexible UPGMA (Un-weighted Pair Group Using Arithmetic Averaging) . It does not seem to exist in any R package. Regards, Ton -- Laboratoire d'Hydro?cologie Quantitative 3 bis, Quai Chauveau - CP 220 69336 LYON cedex 09 t?l. : +33 (0)4.72.20.89 20 fax : +33 (0)4.78.47.78.75 mail : ton.snelder at cemagref.fr

Hi, I'm trying to solve this problem for several weeks and this is a SOS! I've 2 Debian server runing heartbeat and drbd for high availability. I'm using LDAP for user database, PAM for authentication and Dovecot for Pop3s access. On the master server all is fine. If dovecot is started on the slave server (instead of the master) it does not accept to authenticate with the

hello sorry for my english I would like estimate density for multivariate variable,( f(x,y) , f(x,y ,z) for example) ; for calculate mutual information how is posible with R? thanks Bernard Bernard Palagos Unité Mixte de Recherche Cemagref - Agro.M - CIRAD Information et Technologie pour les Agro-Procédés Cemagref - BP 5095 34033 MONTPELLIER Cedex 1 France

Hi, for a RTlinux application I need to install a 2.4.0 kernel. prevoisly, my kernel 2.4.10 was supporting the ext3 fs and all my fs were under ext3. as 2.4.0 doesn't support ext3 I've got a problem to boot cause /proc is recognise as a ext3 fs and my kernel doesnt know how to mount it. what can I do and how to change back /proc to an ext2 fs thanks Fred

Dear all, To modelize the abundance of fish (4 classes) with a set of environmental variables, I used the polr and predict.polr functions. I would like to know how to bring the cumulated probabilities back to a discrete ordinal scale. For the moment I used the predict.polr function with the argument "class". Is there an other way? polrf <- polrf <- polr_mod(formula =

This example is caused by R's messing with formula environments. That's explained in ?formula, but should it not be explained in ?model.frame ? Simple test: data <- data.frame(y=rnorm(100), x=1:100) testit <- function(formula) { weights <- runif(100) glm(formula, weights=weights, data=data) } testit(y ~ x) weights is looked for in the environment of the formula, not of

Hello Everybody, I have a problem with the output of lm. In fact, when I compare the R output and the Splus output, the results appears to be different : I have a dataframe with 5 factors , 16 rows and a response. First, I tried to fit this response to a linear model : lm(rep~(A+B+C+D+E),data). The results beetween SPlus and R are different. In a second time, I tried a new fit :

Dear R-users, I have 1 remark and 1 question on the inclusion of interactions in the gam function from the gam package. I need to fit quantitative predictors in interactions with factors. You can see an example of what I need in fig 9.13 p265 from Hastie and Tibshirani book (1990). It's clearly stated that in ?gam "Interactions with nonparametric smooth terms are not fully

Hello R-users, I would like to install the Java package delivered by the Omegahat project. I'm working on a Windows NT4.0 workstation. Can someone explain me ( in details please) the way to install this package. I've already read the doc relative to this topic, but I'm afraid to be too bad in Informatic to understand really well the install process. I hope someone has an answer for

What you may need is to compile this package from source. It is explained in one of the R manuals (I can't remember which one though). You can also look at my "R Guide for Windows Users" at http://www.stat.auckland.ac.nz/~kwan022/rinfo.php (Section 5). I'm not sure the exact contents in the labdsv_0.9-1.tar.gz , but in general you can first unpack it with, e.g.: tar zxvf

Hello, I would like to know if there is a possibility to "clean" the R memory during a R session. In fact, I realize a lot of instruction with large objects (matrix of 500*5000), and I can not manage to achieve the end of my script due to memory lack. Of course, I've tried to remove all "temporary object" during the script execution and to perform a garbage collector ...

Hello, I would like to treat a very simple case : to fit a linear model with 5 parameters (including main terms, interactions and quadratic terms using a central composite design with 27 runs) for a constant response (e.g resp = 100.0). The fitting process works and return me a good intercept value (the value of my constant) and some negligeable effects (around e-15). But, I don't understand

Hello, I am try to perform a modeling which is relevant in a strongly heteroscedastic context. So I perform a dual modeling (modeling of both mean and variance of a response) in using the following loop: jointmod <- function(formula, data, itercrit=10,devcrit=0.0001) { # # Init step # init <- glm(formula=formula,family=gaussian, data=data) response <-

Dear list members, I have a question concerning multiple comparisons after using glm. My response variable is days until emergence of an insect species. The explanatory variables are sex (two levels), parasitoids added (two levels) and populations (34 levels). I would like to know now which populations are different in days until insect emergence. For this I used multiple comparisons as

Hello, I wonder if anybody has some idea about how to solve my problem : I am working , I would say trough an experimental design approach (perform experiments, get responses, make regression, sensitivity analysis, risk analysis ...). The problem is now that I have to face with not only a response but a vector or a matrix (typically a spatial distribution of a physical property ... pressure).

Hello, I would like to know if there is a possibility to open an R session via Java (using the SJava package), then to terminate it, and re-run another. It seems not to be possible. If this is the case, I would like to understand where is the problem or the limitation (is it due to the SJava implementation, to the Java behavior, or to the R application). In fact, I am interesting in re-starting

Hello, I try to install the R111 version for few days on my PC (on Windows NT), and every time the same problem : I start the rwin.exe application and a couple of seconds later, the install failed, and my PC is down. I must then swich it down and restart a new session. If someone has some help ... Thanks -- Isabelle Zabalza-Mezghani Tel : 01 47 52 61 99 Institut Fran?ais du P?trole

Hello, I would have some details and explanations about the results I get. In fact, I start with a uniform sample between -1 and 1, and then plot its density. My problem is that the density ranges are much more longer than I expected : samp <- runif(10000,-1,1) plot(density(samp)) Instead of varying between -1 and 1, the density varies between approximaly -1.5 and 1.5 Could someone explain

Hello everybody, I'm writting some functions for experimental designs. The one I'm working on is similar to "fac.design" on Splus. The problem I have is with the form of the output : When the argument fraction is submitted, Splus gives something like : A B C 1 - - - 2 + + - 3 + - + 4 - + + Fraction : ~A:B:C The first part of this output is the