similar to: Nonlinear regression question

Hello, I want to understand how to tell if a model is significant. For example I have vectX1 and vectY1. I seek first what model is best suited for my vectors and then I want to know if my result is significant. I'am doing like this: model1 <- lm(vectY1 ~ vectX1, data= d), model2 <- nls(vectY1 ~ a*(1-exp(-vectX1/b)) + c, data= d, start = list(a=1, b=3, c=0)) aic1 <- AIC(model1)

Dear list members, I used a R package some years ago with an older version of R in sparc-sun-solaris2 (Unix) machine. I have to redo some of those analysis, but now my machine is ubuntu. I'm getting the following error message when I try to install the library: Error: package crf was built for sparc-sun-solaris2.6 Is there any way to convert the library for different operating

Hello! I would like to know how do I citate R? I have used it during my Master thesis but I don’t know how to citate during the text and on the references. I’ve looked for it on the web page but only found how to citate the FAQ. Thank you in advance. Tatiana Fernandes Universidade Estadual do Norte Fluminense Laboratório de Ciências Ambientais - CBB Av. Alberto Lamego, 2.000 - Campos dos

Hello all, (Apologies in advance if my terminology is incorrect, I'm relatively new to R and statistics). I have data from a factorial design with two treatments (CRF-23), and I'm trying to compute treatment-contrast interactions through analysis of variance. I can't figure out how to do contrasts properly, despite reading the help for "C" and "contrasts"

Dear All, I get the following error when using either SASxport or Hmisc to read an .xpt file: > w <- read.xport("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) : invalid labels; length 15 should be 1 or 14 > z<- sasxport.get("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) :

Dear members of the R-Help Team, we are reaching out to you with a question regarding using intervals()<https://www.rdocumentation.org/packages/nlme/versions/3.1-163/topics/intervals> to create inference for nlme()<https://www.rdocumentation.org/packages/nlme/versions/3.1-164/topics/nlme> function. The maintainer for the nlme package is listed as the R-Core Team and we were advised

Hi, I have a problem of estimating a mixture of two normal distributions. I need to find the starting points automatically, since this is a part of a larger piece of image processing code. I found the mix2normal1 function in VGAM package that mentions a method of finding starting values for mu1 and mu2 but refers the reader to a book by Everitt and Hand. Unfortunately, I do not have an easy

Good morning. I'm Tatiana Merkulova, third-year student at Moscow State University, Faculty of Computational Mathematics and Cybernetics. I'm interested in the 'Gmane Search improvements' project. I have strong background in C++ and unix system programming. I have some perl-knowledge, but I'm not its active user. Anyway, I think it wouldn't take much time to learn it in

hello everyone, i often work on contingency table that I create from data.frame (with table() function) but a friend sent me an excel sheet wich *already is* a contingency table (just a simple 2 way table !...) any clue on how to import it in R (keeping row names and col names) ? any tuto I come accross only mention the table transformation, but never the import of such data I only found

On Feb 28, 2020, at 8:56 AM, Johannes Doerfert <johannesdoerfert at gmail.com> wrote: > On 02/28, Nicholas Krause via llvm-dev wrote: >> Anyhow what is the status and what parts are we planning to move to >> MLIR in LLVM/Clang. I've not seen any discussion on that other than >> starting to plan for it. > > As far as I know, there is no

Hello I am writing a qdisc scheduler (called fb in the diagram) that does certain packet delaying and other stuff. (for egress traffic) root (htb/tbf) | --------------- cl1 cl2 | tbf -------- | | cl3 cl4 | | *fb* fifo Now I need to

Dear Ivan, thanks for the insights! This points us directly in the direction we need. Have a lovely day! Yours sincerely, Tatiana, Marvin & Paul from Statistics Lab ________________________________ From: Ivan Krylov <ikrylov at disroot.org> Sent: Monday, May 6, 2024 4:24 PM To: Bielakova Tatiana Cc: R-help at r-project.org; Stephan Paul Andreas Kurt; Lob Marvin Subject: Re: [R]

Dear all, I'm interested in testing 2 nonlinear restrictions on coefficients of a nls object. Is there a package for doing this? Something in the lines of `test(nls object, res=c("res 1","res 2"),...)' I only found the function delta.method in the alr3 library that calculates the se of a singleton nonlinear restriction of a nls object using the delta method. Thanks in

Hi All, Could any one tells me if R or S has the capacity to fit nonlinear regression with Huber's M estimation? Any suggestion is appreciated. I was aware of 'rlm' in MASS library for robust linear regression and 'nls' for nonlinear least squares regression, but did not seem to be able to find robust non-linear regression function. Thanks and regards, Ray Liu

Dear R-Help, I am trying to use R to solve a nonlinear equation many times for different values. I am looking for a mathematical nonlinear equation solution which may not have a closed solution form. For example, I have equation: 2 = (t^2)/log(t) What is t? I am wondering how to solve it in R. Many thanks, Zhu Wang Statistical Science Department SMU.

Dear all, I just know how to solve an eaquation by using optim() or nlm(). But, now, I have three nonlinear equations, how could we use optim() or nlm() to solve  a system of nonlinear equations in R?  Thank you so much. Sincerely, Joe ___________________________________________________ 您的生活即時通 － 溝通、娛樂、生活、工作一次搞定！ [[alternative HTML version deleted]]

Dear R community, Using nlme library I have developed a nonlinear mixed model. Incorporating an autoregressive model gives me an error that I can't allocate vector of size X. The problem is that my computer does not have enough physical memory most probably due to a large number of observations (17,000). I was wondering what alternative options I might use: 1) To use ARIMA and

Dear all, I would like to know whether any specification test for linear against nonlinear model hypothesis has been implemented in R using the quantreg package. I could read papers concerning this issue, but they haven't been implemented at R. As far as I know, we only have two specification tests in this line: anova.rq and Khmaladze.test. The first one test equality and significance of

Hello, I?m with a problem in using nonlinear quantile regression, the function nlrq. I want to do a quantile regression o nonlinear function in the form a*log(x)-b, the coefficients ?a? and ?b? is my objective. I try to use the command: funx <- function(x,a,b){ res <- a*log(x)-b res } Dat.nlrq <- nlrq(y ~ funx(x, a, b), data=Dat, tau=0.25, trace=TRUE) But a can?t solve de problem,

Hi, I have been brought back to the "R-Side" from MatLab. I have used R in graduate econometrics but only for statistics and regression (linear and nonlinear). But now I need to run general nonlinear optimization. I know about the add-in quadprog but my problem is not QP. My problem is a general nonlinear (obj funct) with linear constraints.I know about the "ms" and