similar to: Question regarding behaviour of package {plspm}

Hello, I am new to R and hope I will not seem ignorant in this post. I am currently using the plspm package by Gaston Sanchez accompanied by his text book. I have attempted to create a square matrix, which has seemed successful. I used the following code: > "Attitude" = c(1, 0, 0, 0, 0, 0, 0, 0) > "Normative Beliefs" = c(1, 0, 0, 0, 0, 0, 0, 0) > "Subjective

Hello, Please allways cc the list, don't answer just to me. Now I'm getting a different error. I had noticed that you have no reference to 'TPBDATA' before the call to plspm but I forgot to mention it in my first e-mail. TPB_pls1 = plspm(TPBDATA, TPB_path, TPB_blocks, modes = TPB_modes) Error in is_tabular(x) : object 'TPBDATA' not found So we need to know what

Hello, I am running a simple plspm for a class project due later today and I am receiving the following error despite following along exactly with Gaston Sanchez's directions in PLS Path Modeling with R: Error in solve.qr(qr(X.blok), Z[, j]) : singular matrix 'a' in 'solve' I would greatly appreciate any help resolving this matter. I got the same error after changing the

Hi I need a bit of guidance on tests and methods to look for multicollinearity and Endogeniety while using plspm Pl help ------------------ T&R ... Deva [[alternative HTML version deleted]]

I want estimate MIMIC latent variable with R in a Monte Carlo simulation. The packages plspm and semPLS don't permit to introduce MIMIC variable but only reflexives or formatives variables. The only one program which permits to use MIMIC latent variable with PLSPM seems to be XLSTAT, which can not be used to simulate a lot of data bases. It is a real challenge to develop a package with

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

In my previous mail, I was asking help to fit structural equations models by using Partial Least Square (PLS) approch.I have used package plspm. I want to know how to manage moderating and mediating variables. I also want to show simultanously the graph of internal model and measurement model. Thks. Le jeudi 10 mai 2018 ? 15:42:46 UTC, Michael Dewey <lists at dewey.myzen.co.uk> a ?crit :

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

Hello, I am starting to use R for various analyses, for example I use the ca package to do Correspondence Analysis. I am also looking to use packages such as: pls Partial Least Squares plspm Partial Least Squares Path Modelling However, although I can use packages such as these on un-weighted data there does not appear to be a facility to take account of weighted data. I am a

Greetings R users, My interest in the Q2cum score comes my endeavor to replicate SIMCAP PLS-DA analysis in R.? I use the exact same dataset.? After doing the analysis in R, I can get the exact same R2Ycum.? However, the Q2cum is significantly off.? Adding the Q2cum of the 1st and 2nd component comes close but that seems unconvincing and I don't understand why the 3rd component Q2cum would be

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, A new task view "ChemPhys" on chemometrics and computational physics is available on CRAN (http://cran.r-project.org/web/views/ChemPhys.html). It describes packages and functions that are of use in modeling chemical/physical systems. Suggestions and comments regarding this task view are welcome. If you think a new category, package or function should be added, please mail.

de Jong, S. (1993) SIMPLS: an alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 18, 251?263 Thanks

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

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

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

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 have friendship data which is strong skewed. So it doesn't make sense to use maximum likelihood methods for fa and cfa. But I couldn't find any function for asymptotically distributed data for doing a factor analysis. Only: apca() but there is no possibility to allow for factor correlations. The same problem is with sem() I couldn't get any solutions for my model because of the