similar to: Add a function in rq

Hi, I am trying to use quantile regression to perform weighted-comparisons of the median across groups. This works most of the time, however I am seeing some odd output in summary(rq()): Call: rq(formula = sand ~ method, tau = 0.5, data = x, weights = area_fraction) Coefficients: Value Std. Error t value Pr(>|t|) (Intercept) 45.44262 3.64706 12.46007

Hi all, I'm having some troubles with the Quantreg package. I am using R version 2.10.0, and have downloaded the most recent version of Quantreg (4.44) and SparseM (0.83 - required package). However, when I try to run an analysis (e.g. fit1<-rq(y~x, tau=0.5)) I get an error message saying that the function "rq" could not be found. I get the same message when I try to search

Hi I am using the quantreg package for median regression for a large series of subsets of data. It works fabulously for all but one subset. When it reaches this subset, R takes the command and never responds. I end up having to kill R and restart it. It appears to be something with the particular data subset, but I can't pinpoint the problem. Here are some details Operating system:

Hello all, I would like to compute a quantile regression using rq (from the quantreg package), while keeping one of the coefficients fixed. Is it possible to set an offset for rq in quantreg? (I wasn't able to make it to work) Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili at gmail.com |? 972-52-7275845 Read me:

Dear all, I am having v.4.36 of Quantreg package and I noticed strange behaviour when weights were added. Could anyone please explain me what if the results are really strange or the behavioiur is normal. As an example I am using dataset Engel from the package and my own weights. x<-engel[1:50,1] y<-engel[1:50,2] w<-c(0.00123, 0.00050, 0.00126, 0.00183, 0.00036, 0.00100, 0.00122,

John, You can make a local version of bootcov which either: deletes these arguments from the call to fitter, or modify the switch statement to include rq.fit, the latter would need to also modify rq() to return a fitFunction component, so the first option is simpler. One of these days I'll incorporate clustered se's into summary.rq, but meanwhile this seems to be a good alternative.

Dear statistics and R experts, I am a new R-user and my statistics is probably more than a bit rusty. So forgive me if the following question is relatively simple. I would like to plot the predicted values from a quantile regression analysis (quantreg v.3.31; R v.1.7.1) so that I can evaluate the fit. My response variable is tree growth (continuous), and my predictor variables are height

Hello Everyone, I'm currently learning about quantile regressions. I've been using an optimizer to compare with the rq() command for quantile regression. When I run the code, the results show that my coefficients are consistent with rq(), but the intercept term can vary by a lot. I don't think my optimizer code is wrong and suspects it has something to do with the starting

I used in 2004 an earlier version of R (1.6.0 ?) for quantile regressions Now I downloaded version 2.5.1-win32 and I cannot A) read my old files (Our exel working space was saved in csv) and also the series of instructions does not work, see below (B) rq function is not recognized) filename <- read.csv("filename.csv",header=TRUE,row.names=1) fit95

Thanks for all your great answers. The app I?m working on is indeed an exploratory data analysis tool for gene expression, which requires a bunch of bioconductor packages. I guess for now, my best solution is to divide my app into modules and load/unload packages as the user switch from one module to another. This brought me another question: it seems that unload package with the

Hello, &nbsp; I want to sum first three terms of each column of matrix. But I don't calculate with "apply" function. &nbsp; skwkrt&lt;-function(N=10000,mu=0,sigma=1,n=100, nboot=1000,alpha=0.05){ x&lt;-rnorm(N,mu,sigma)#population samplex&lt;-matrix(sample(x,n*nboot,replace=T),nrow=nboot) #... } &nbsp; is that: suppose a is a 5x2 matrix. &nbsp;a={1,2,3,4,5

Hi All, I am running quantile regression in a "for loop" starting with 1 variable and adding a variable at a time reaching a maximum of 20 variables. I get the following warning messages after my "for" loop runs. Should I be concerned about these messages? I am building predictive models and am not interested in inference. Warning messages: 1: In

Hi all, I'm trying to load the quantreg package but keep running into problems no matter which method I have tried. Does anybody know what this error (below) means in plain language and what I might do to get this installed. I have not had problems downloading/installing/running packages in the past. thanks in advance, derek Begin R output: trying URL

I was trying "quantreg" package, lm1 <- lm(y~x) rq1 <- rq(y~x) plot(summary(rq1)) #then got a warning says singular value, etc. but this line can be omited plot(lm1) #crash here It happened every time on my PC, Windows XP Pro Serv. Pack 1, Pentium(4) 3.00G. [[alternative HTML version deleted]]

Hi All, I'm still having significantly difficulty getting the quantreg library running in R. I'm running R on MEPIS using the debs created by Dirk Eddelbuettel and placed in apt testing. When I try to install quantreg using the install.packages() function it fails with: /usr/bin/ld: cannot find -lblas-3 Dirk was nice enough to send me a .deb for quantreg which installs without

I used R and the quantreg package in a manuscript that is currently in the proofs stage. I cited both R and quantreg as suggested by citation() and noted the version of R and quantreg that I used in the main text as "All tests were computed with the R v2.9.0 statistical programming language (R Development Core 2008). Quantile regressions were conducted with the quantreg v4.27 package

Dear R-help, Has anyone been able to use the quantreg package on Windows successfully? I tried to load it and get the following: > library(quantreg) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "C:/PROGRA~1/R/rw1031/library/quantreg/libs/quantreg.dll": LoadLibrary failure: The specified procedure could not be found. Error in

Please, is there anyone who can give me some suggestions? (1) I have to use a package from R on my work. The package is the "quantreg" developed by Koenker (Uni Illinois). I have installed the package in the R library tree /usr/local/lib/R/ library of my Linux Operating System. I did R CMD INSTALL -l /usr/local/lib/R/ library /path/to/quantreg_x.y-z.tar.gz. However, when I call any

Hi All, I'm trying to install the quantreg library on my MEPIS box (debian-based linux). When I try >install.packages("quantreg") it fails to loads and errors with: /usr/bin/ld: cannot find -lblas-3. I tried installing a ton of packages to fix the missing part but the only thing I manage to do it cause problems with another shared library and had to re-install a couple of

Hi All, I'm trying to install the quantreg library on my MEPIS box (debian-based linux). When I try >install.packages("quantreg") it fails to loads and errors with: /usr/bin/ld: cannot find -lblas-3. I tried installing a ton of packages to fix the missing part but the only thing I manage to do it cause problems with another shared library and had to re-install a couple of