similar to: how to plot an array with labels

Hello wizaRds ! I am looking for a french and recent version of "An introduction to R". Does anybody know where i could find on of these. Thanks. -- Romain Fran??ois 25, avenue Guy Moquet 94 400 Vitry sur seine FRANCE _______________________ _______________________ francoisromain at free.fr 01 46 80 65 60 06 18 39 14 69

About six months ago there was a reference to a site (in french) that did a spectacular job of demonstrating R's graphical capabilities. My bookmarks were recently wiped and I cannot find this site despite my best googling. Anyone have the address which I have done a miserable job describing? Thanks. Michaell

Hi, how can I do multinomial logistic regression in R? I think glm() can only handle binary response variable, and polr() can only handle ordinal response variable. how to do logistic regression with multinomial response variable? Thanks __________________________________

Hi All, Thanks for you help, I have loaded the library MASS to call the mca. But when I want to do the mca, there is another problem, for example -------- -------- > leaf <- read.table("C:/Documents and Settings/wxh-c/×ÀÃæ/1.txt", + col.names=c("size","texture"),header=TRUE) > leaf size texture 1 3 3 2 2 2 3 3 2 4 3

bonjour, Je voudrais faire une analyse des correspondances multiples avec R. avec les repr?sentation graphiques correspondantes avec R. je ne sais pas comment proc?der .. en vour remerciant par avance Faouzi

Is there an option to draw concentration ellipses in biplots ? It seems really nice to summarize large number of points of each group. Cheers../ Murli

bonjour, Je suis actuellement en derniere annee d'ecole d'ingenieur en informatique et statistiques et je dois réaliser mon projet de fin d'études sur le logiciel R. En fait, je dois réaliser un scoring sous R puis le meme sous SAS et comparer les resultats. Mon fichier se prete à une regression logistique. J'ai donc utilisé la fonction glm sous R et Catmod sous SAS seumement, je

I know this question is very simple, but I am not figure it out I have the data frame:   test<- data.frame(year=c(2000,2000,2001,2001),x=c(54,41,90,15), y=c(29,2,92,22), z=c(26,68,46,51)) test   year    x   y   z 1 2000 54 29 26 2 2000 41  2  68 3 2001 90 92 46 4 2001 15 22 51   I want to sum the vectors x, y and z within each year (2000

Hello, I apologize for this question that may has been asked a lot of times but I could not go through it. I create a multivariate time series containing NA values. I want to compute a linear regression and obtain a time serie for both residuals and fitted values. I have tried the trick ts.intersect, without success. Could you help me out of this? #### Example: y<-ts(1:10+rnorm(10))

Please could someone point me in the right direction as I appear to be having a total mental block with fairly basic PCA problem! I have a large dataframe where rows represent independent observations and columns are variables. I am wanting to perform PCA sequentially on blocks of nrows at a time and produce a graphical output of the loadings for the first 2 EOFs for each variable. I'm sure

Dear Sirs, Could you please be so kind as to send us some information on residuals in multinomial logistic models? Is it possible to use R software? We thank you in advance. Sincerely yours Luciana Alves,MSc Beatriz Leimann, MD -- Luciana Correia Alves Doutoranda em Sa??de P??blica ENSP - Fiocruz

Dear forum, I would like to forecast e.g. with the arima-model. To figure out which model works best I am going to predict with this models. my first code: for(ar.ord in 1:3){ for(ma.ord in 1:3){ print(predict(arima(para_qtr[1:(n-8),1],order=c(ar.ord,1,ma.ord)), n.ahead=8)$pred) } } this one works. but I want to "save" my results in a matrix or a data.frame. my second code:

Is there easy way (without copying the existing rows to a temporary location and copying back) to add a new row to a specific index location in an existing data frame? Example df = data.frame( A= c('a','b','c'), B=c(1,2,3), C=(10,20,30)) newrow = c('X', 100, 200) I want to add the newrow as the second row to the data frame df Please suggest a solution that is

I was wondering if there is a way of editting strings in R. I have a set of strings and each set is a row of numbers and paranthesis. For example the first row is: (0 2)(3 4)(7 9)(5 9)(1 5) and I have a thousand or so such rows. I was wondering how I could get the corresponding string obtained by adding 1 to all the numbers in the string above. Dursun [[alternative HTML version deleted]]

Hi All, I was adding a new row of data to my data frame using rbind(). I was surprised to see that after adding new row, I lost my data frame level attibute as well as col level attribute. Please help me to insert a new row at frist or middle position so that my custom attribute is not lost. Here is what I did. age<-c(15,20,18) weight<-c(40,42,30) ### creating my data frame

I need to implement a conditional in my RJS template which looks something like: if (page.select(''row1'').first != null) page << "new TableRow.MoveAfter(''row1'', ''newrow'');" else page << "new TableRow.MoveAfter(''row2'', ''newrow'');" end Now, dumb question.. My

Hello fellow R sufferers, Is there a way to perform an appending operation in place? Currently, the way my pseudo-code goes is like this for (i in 1:1000) { if (some condition) { newRow <- myFunction(myArguments) X <- rbind(X, newRow) # <- this is the bottleneck!! } } As you can see, it works but as the matrix X gets the size of a few million rows, the

I was suprised to find that some bitcode I'm generating isn't getting optimized. Here, I'm doing the equivalent of "myarray[5]++" (on an "extern int *myarray"), repeated three times: @myarray = external global i32* define void @update_array() #0 { %1 = load i32** @myarray, align 8 %2 = getelementptr inbounds i32* %1, i64 5 %3 = load

Dear ALL, Does anyone know how to get the complete code program for any build-in function in R, e.g. when I tape mean in the R-console, I get the following:  mean function (x, ...) UseMethod("mean") <environment: namespace:base> but I need the full mean function. Thank in advance, Alphonse. [[alternative HTML version deleted]]

Grateful for any hints as to why I'm not getting the inner loop to cycle the expected number of times. Code and one run's results below. Thanks, Galen > # source("looptest.r") > sp<-numeric() > iter<-numeric() > rn<-numeric() > ds<-data.frame(sp, iter, rn) > > for (sp in c(1:6)) { + i<-1 +