similar to: Does anyone has this paper in pdf?

Dear friends, I'm confused about how to install packages from source. I just updated R in Lenny from http://cran.fiocruz.br/bin/linux/debian/ I included in sources.list: deb http://cran.fiocruz.br/bin/linux/debian lenny-cran/ deb-src http://cran.fiocruz.br/bin/linux/debian lenny-cran/ Then: apt-get update apt-get install r-base r-base-dev Then I downloaded the package

Hello i need some precision about nipals in the chemometrics package in R . When i use nipals in chemometrics i obtain T and P matrix. I really don't understand what to do with these two matrix to obtain the scores for every the component (like in spss fo example) Comp1 Comp2 Comp3 quest1 0,8434 0,54333 0,3466 quest2 0,665 0,7655 0,433 Thank you very

Dear R-helpers, I am looking, quite unsuccesfully, for a number of functions/packages. Firstly, I am interested in a package for partial least squares. I have found that there seemed to exist a package called pls, but which seems not to run any more with modern versions of R. I have not been able to find certain "chemometrics package" I found some people discussing about in this

Greetings R Developers, I've been testing the alpha release of R-3.0.0 and I noticed that the plotting functionality in package tkrplot was not working correctly. Further diagnosis found the issue to be related to the command '.Tcl("image create Rplot plotname")' from package "tkrplot". The following example is taken from here:

Dear all, I want to do the following process as a loop ( to run automatically with dimension of X, here 50). How can I do that? Your cooments will be highly appreciable. Alex *# Code:* library(lars) library(chemometrics) X<-matrix(rnorm(2500),ncol=50) dim(X) # [1] 50 50 X1<-X[,2:dim(X)[2]] # I have taken out first column dim(X1) #[1] 50 49 X2<-X1[2:dim(X1)[1],] #

Sorry for the somewhat nondescript subject line, but I have two questions: 1. What is a really good book on R for a nonprogrammer? 2. How do I open more than one R Graphics: Device 2(ACTIVE). That what is the R command that I can use to keep more than one plot open. I am running a script from a book on Chemometrics that results in more than one graph during the execution, but

Dear R-helpers, I have performed a PLS regression with the mvr function from the pls.pcr package an I have 2 questions : 1- do you know if mvr automatically centers the data ? It seems to me that it does so... 2- why in the situation below does the output say that the optimal number of latent variables is 4 ? In my humble opinion, it is 2 because the RMS increases and the R2 decreases when 3 LVs

I run the following code, all other is ok, but plot(m.svm,p5.new,As~Cur) is not ok Anyone know why? install.packages("e1071") library(e1071) library(MASS) p5 <- read.csv("http://www.public.iastate.edu/~aiminy/data/p_5_2.csv") p5.new<-subset(p5,select=-Ms) p5.new$Y<-factor(p5.new$Y) levels(p5.new$Y) <- list(Out=c(1), In=c(0)) attach(p5.new)

I run the following code, all other is ok, but plot(m.svm,p5.new,As~Cur) is not ok Anyone know why? install.packages("e1071") library(e1071) library(MASS) p5 <- read.csv("http://www.public.iastate.edu/~aiminy/data/p_5_2.csv") p5.new<-subset(p5,select=-Ms) p5.new$Y<-factor(p5.new$Y) levels(p5.new$Y) <- list(Out=c(1), In=c(0)) attach(p5.new)

Hi all, I would like to do some QSAR analysis (quantitative structure activity relationship). I need to use some Partial Least Squares (PLS) regression, but I have not seen this option on the R-project. Is it possible to do this kind of regression on R? thank you in advance best regards, olivier [[alternate HTML version deleted]]

I have a dataset like this: p aa index x y z sdx sdy sdz delta as ms cur sc 1 821p MET 1 -5.09688 32.8830 -5.857620 1.478200 1.73998 0.825778 13.7883 126.91 92.37 -0.1320180 111.0990 2 821p THR 2 -4.07357 28.6881 -4.838430 0.597674 1.37860 1.165780 13.7207 64.09 50.72 -0.0977129 98.5319 3 821p GLU 3 -5.86733 30.4759

One of the outcomes of useR! 2006 is that JSS is planning to publish a series of special volumes. They will be guest edited (I have guest editors already, although somewhat tentative in some cases). Each volume will have 5-10 issues (articles) of the usual JSS format. Psychometrics in R Political Methodology in R Econometrics in R Social Science Methodology in R Spectroscopy/Chemometrics in R

Special Volume on Spectroscopy and Chemometrics in R Guest Edited by Katharine M. Mullen and Ivo H.M. van Stokkum 11 contributions, with software packages and examples Similar volumes on R in Psychometrics (guest edited by Jan de Leeuw) and R in Political Methodology (guest edited by Micah Altman and Simon Jackman) are close to being finished. Additional volumes are being worked on. Proposals

I am trying to fit a logistic regression model for this data set. Firstly, I want to plot P(Y=1) vs As and P(Y=1) vs Aa. Does any body know how to do these in R. Thanks, Aimin > p5 <- read.csv("http://www.public.iastate.edu/~aiminy/data/p_5_2.csv") > str(p5) 'data.frame': 1030 obs. of 6 variables: $ P : Factor w/ 5 levels "821p","8ABP",..: 1

Dear All: I'm a newbie to R and chemometrics. Now I'm trying apply bclust on fuzzy c-means like this: >bc1 <- bclust(iris[,1:4], 3, base.centers=20,iter.base=100, base.method="cmeans") Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method =

I have a set data={A,B,C,D,E,F,G} I want to choose 2 letter from 8 letters, i.e. generate the combination set for choose 2 letters from 8 letters. I want to get the liking: combination set={AB,AC,AD,....} Does anyone konw how to do in R. thanks, Aimin

Dear R-users, I did some more research and I'm still not sure how to set up an ANCOVA with nestedness. Specifically I'm not sure how to express chicks nested within boxes. I will be getting Pinheiro & Bates (Mixed Effects Models in S and S-Plus) but it will not arrive for another two weeks from our interlibrary loan. The goal is to determine if there are urbanization (purban)

Greetings. I'm teaching linear regression this semester and that means I write more functions for my regression support package "rockchalk". I'm at a point now were some fresh eyes would help, so if you are a student in a course on regression, please consider looking over my package overview document here: http://pj.freefaculty.org/R/rockchalk.pdf That tells how you can grab

Dear R users I'd like to hear from someone if there is a function to do a repeated k-fold cross-validation for a lm object and get the predicted values for every observation. The situation is as follows: I had a data set composed by 174 observations from which I sampled randomly a subset composed by 150 observations. With the subset (n = 150) I fitted the model: y = a + bx. The model

Dear all, I am a statistician doing research in QSAR, building regression models where the dependent variable is a numerical expression of some chemical activity and input variables are chemical descriptors, e.g. molecular weight, number of carbon atoms, etc. I am building regression models and I am confronted with a widely a technique called Y-RANDOMIZATION for which I have difficulties in