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Hello, I am trying to learn how to create a simulated dataset of a forest stand: I must simulate 10 stands, for each of the stands I have been creating a random number of trees. For each tree I should create a random diameter. The problem I have is that I cannot use a matrix because the length of the three items is different. I was trying with list but I have no clue on how to make a dataset out

HI, I have just upgraded my Samba-servers to 2.0.5a. After this upgrade several users have problems with corrupted files, the files are Word- and Excel-files. Others experiencing this? I am running on HP-UX 10.2. ----- Thor-Egil Ekeli Institutt for energiteknikk - Halden Telefon direkte : 69 21 24 01 Telefon sentralbord : 69 21 22 00 email : thoree@hrp.no

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

Hi Team, I using the syntax as: data.df<- data.frame( city= c(rep(c("Delhi", "Bangalore","Chandigarh"),each=5)), population= c(4000:6000,3500:4300,3000:3200) ) But i am getting the error as arguments imply differing number of rows: 15, 3003. Tried searching google but could not understand & find the solution. Thanks, Shivi [[alternative HTML version

The loop never assigns anything to d0, only t. The first line makes t a character string "d0$V1" (or "d0$V2" etc.). The second line assigns either 0 or 1 to t. Looking at this, I don't think you've got into the R psychology (bad news if you want to use R, good news in many other ways). I assume d0 is a list, so could you put the V's into a vector, and then just use

It might help if you provided the code you used. It's possible that you didn't use direction="backward" in stepAIC(). Or if you did, it was still running, so whatever else you try will still be slow. The statement "R provides only the pvalues for each level" is wrong: look at the anova() function. Bob On 29 June 2017 at 11:13, Beno?t PELE <benoit.pele at

Hello, i am a newby on R and i am trying to make a backward selection on a binomial-logit glm on a large dataset (69000 lines for 145 predictors). After 3 days working, the stepAIC function did not terminate. I do not know if that is normal but i would like to try computing a "homemade" backward with a repeated glm ; at each step, the predictor with the max pvalue would be

...g does it take to show up in the > > archives? > > [ that (waiting time) distribution is quite right skewed... I'd > guess it's median to be less than 10 minutes... but we had > artificially delayed it somewhat in the past to fight > spammers, and ETH (the hosting instituttion) and others have > increased spam and virus filtering so everything has become > quite a bit slower ] > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Luke Tierney Ralph E. Wareha...

Hi there, I'm trying to do a regression experiment on a multidimensional dataset where both x and y in the model are multidimensional vectors. I'm using R version 2.9.2, updated packages, on a Linux box. I've tried gausspr(), ksvm() and rvm(), and the models are computed fine, but I'm always getting the same error message when I try to use predict(): "Error in

Hello, I'm having some trouble figuring out the correct model specification for my data. The system consists of multiple populations of an organism, which have been genetically sampled for several years. The problem is this: A minority of individuals are found in more than one sample, either they have survived into the next sampling at the same location, or have migrated to another another

Hi! Fine that OpenSSH has sftp server support now. But what client to use? I'd particularly like one that smoothlessly integrates with ange-ftp in emacs. Thanks in advance for any hints! Hans --------------------------------------------------------------------- Dr. Hans Ekkehard Plesser Tel. : +47 6494 8832 Institutt for tekniske fag Fax :

Hello, I want to set up my Samba-servers to use encrypted passwords (smbpasswd). First I enabled "Update Encrypted" to set the correct password and then I disabled "Update encrypted" and enabled "encrypted passwords". When I map up a share from the client everything is working ok, but in the log I have the following: [1999/11/09 21:37:10, 1] smbd/password.c:(532)

Hello everybody, Anyone familiar with the package frontier? I have some general questions on how to approach the model design. Thanks in advance Giovanna Giovanna Ottaviani Aalmo Stipendiat/Ph.D. Student ------------------------------------------- Norsk institutt for skog og landskap Pb 115, NO-1431 Ås T (+47) 64 94 9094 M(+47) 980 30 422 F(+47) 64 94 90 80

...he mailing list? How long does it take to show up in the > archives? [ that (waiting time) distribution is quite right skewed... I'd guess it's median to be less than 10 minutes... but we had artificially delayed it somewhat in the past to fight spammers, and ETH (the hosting instituttion) and others have increased spam and virus filtering so everything has become quite a bit slower ]

Hi, I am trying to debug the following code: for (i in 1:10){ t <- paste("d0$V",i,sep="") t <- ifelse(regexpr(d1[i,1],d0$X0)>0,1,0) } and I would like to see what code is actually processing R, how can I do that? More to the point, I am trying to update my variables d0$V1 to d0$V10 according to the presence or absence of some text (contained in the file d1)

My name is Giovanna and I am a PhD student in Norway. I am a beginner with statistics and R, hence my ignorance. Apologies from now..... I have been collecting data on time performances of 5 subjects using a 1:3 scale tower yarder. The task was consisting in yarding 5 small logs placed on permanently marked course. Four subjects had different previous experiences (None, Some) and the fifth was a

...t; archives? >>> >>> [ that (waiting time) distribution is quite right skewed... I'd >>> guess it's median to be less than 10 minutes... but we had >>> artificially delayed it somewhat in the past to fight >>> spammers, and ETH (the hosting instituttion) and others have >>> increased spam and virus filtering so everything has become >>> quite a bit slower ] >>> >>> ______________________________________________ >>> R-devel at r-project.org mailing list >>> https://stat.ethz.ch/mailman/listi...

Dear users of the R mailing list, I am a ph.d. student in biology working on red deer in Norway, who would like to conduct an analysis with random factor where the response is binomially distributed. This cannot be conducted in S-plus, and I was told by others that it may be possible in R. However, I soon got into trouble which I hope you can help me to solve. My model is on this form:

I have a toy alt-rep string package that generates randomly seeded strings. example: library(altstringisode) x <- altrandomStrings(1e8) head(x) [1] "2PN0bdwPY7CA8M06zVKEkhHgZVgtV1" "5PN2qmWqBlQ9wQj99nsQzldVI5ZuGX" ... etc object.size(1e8) Object.size will call the set_altstring_Elt_method for every single element, materializing (slowly) every element of the vector. This

...he > > > archives? > > > > [ that (waiting time) distribution is quite right skewed... I'd > > guess it's median to be less than 10 minutes... but we had > > artificially delayed it somewhat in the past to fight > > spammers, and ETH (the hosting instituttion) and others have > > increased spam and virus filtering so everything has become > > quite a bit slower ] > > > > ______________________________________________ > > R-devel at r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-devel > &gt...