similar to: Character2function

I'm using R version 1.1.0 with Redhat 6.2 in a Dual-Pentium When I type postscript() I have the next error: -- Error in old$command == "default" : comparison (1) is possible only for vector types I have updated R next week using the rpm package http://www.stat.math.ethz.ch/CRAN/bin/linux/redhat/6.x/i386/R-base-1.0 .0-2.i386.rpm I know that postscript() has new features, but I

The library wavethresh performs 1-d and 2-d wavelet statistics and transforms. You can find it in the package sources in http://cran.r-project.org. Hope this helps. -- ============================================================== Alvaro Colina |-|o||o||o||o||o||o||o||o||o|- Area de Quimica Analitica | Pza. Misael Banuelos s/n Facultad de Ciencias | 09001. Burgos. Spain Universidad de

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### Under R version 0.6.51 the following A_c(13,9,15,5,25,15,3,9,6,12) B_c(42,24,41,19,27)

HI, I would like to extract the variance components estimation in lme function like a.fit<-lme(distance~age, data=aaa, random=~day/subject) There should be three variances \sigma_day, \sigma_{day %in% subject } and \sigma_e. I can extract the \sigma_e using something like a.fit$var. However, I cannot manage to extract the first two variance components. I can only see the results in

I've got a lot of problems saving plots using postscript(file="xx.ps") The quality is not too good when I print it. Is there any way to save good quality plots in a file? Is there, perhaps, another function? I have tied save.plot(), postscript(), ... Thank you very much -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi! I am using R1.5.0. When using functions form lattice the background is dark grey. I have tried to change it using par() but it does not work. By the way, if I use par and the standard functions like hist() there is no problem with the par function. Any hints? Thank in advance, Ignacio Perez Escuela Colombiana de Ingenieria

Me: not experienced with Rails or Ruby, Problem: Ubuntu 9.04 server in my shop ...couldn''t get Apache2.2 + Passenger + Rails to work for Redmine. (No answer at Redmine list and I don''t think its their problem anyway). Also couldn''t get Apache2.2 and just Rails to work, though some people said it would. Webrick works. Goal: run Redmine on a server that also runs PHP

Hello, I would like to remove some files which have the extension .test for example (data1.test, data2.test ....). Is there another solution to remove them instead of doing it one by one ? Thanks for your help, St?phanie Langevin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi - I would like to create a scatterplot with the symbols coded by a factor in each record. Is their a better way than what I have used below? I attempted to use the plot.factor, but cannot force it to make a scatterplot instead of boxplots. I have considerd making a function with a 'for' statement for each level of the factor. Is there a better way for when I am dealing with more

Hi everyone I'm trying to use sigma2.mat<-apply(ri.mat,2,'-n/2*log(sum(ri.mat^2)/n)') but it's not working. Is it wrong to use that kind of FUN in apply ? or am I doing something wrong ?! Thank's ernesto -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi ? This is giving me a headache. I?m trying to do a relatively simple optimization ? actually trying to approximate the output from the Excel Solver function but at roughly 1000x the speed. ? The optimization parameters look like this. The only trouble is that I want to add a constraint that sum(wgt.vect)=1, and I can?t figure out how to do that in optim. Mo.vect <-

Hello, I have a question regarding subsetting of vectors. Here's an example of what I'm trying to do: vect.1 <- c(76,195, 290, 380) vect.2 <- c(63, 95, 133, 170, 215, 253, 285, 299, 325, 375) I would like to subset vect.2 so that it has the same length as vect.1, and its numbers are the first corresponging higher value compared to vect.1. The output should be: final.output =

Using the proposed patch for enabling the i386 multilib under the x86_64-apple-darwin build... http://lists.cs.uiuc.edu/pipermail/llvmdev/2009-August/025040.html the following gfortran testsuite results are obtained... Native configuration is x86_64-apple-darwin10 === gfortran tests === Running target unix/-m32 FAIL: gfortran.dg/aint_anint_1.f90 -O (internal compiler error) FAIL:

Hi, I got caught out by this behaviour in 1.8.0 and I wondered why this happens: I have a list of vectors and was using lapply and grep to remove matched elements that occur in only a subset of the elements of the list: locs <- lapply(locs, function(x){x[- grep("^x", x)]}) The problem is that where the grep finds no matches and hence returns a vector of length 0, all the

Folks; I am having a problem with the cv.glm and would appreciate someone shedding some light here. It seems obvious but I cannot get it. I did read the manual, but I could not get more insight. This is a database containing 3363 records and I am trying a cross-validation to understand the process. When using the cv.glm, code below, I get mean of perr1 of 0.2336 and SD of 0.000139. When using a

Thanks Bert. But everyone on that forum wants to use finance tools rather than general optimization stuff! And I am not optimizing a traditional Markowitz mean-variance problem. Plus, smarter people here. :-) > On May 3, 2018, at 3:01 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > You can't -- at least as I read the docs for ?optim (but I'm pretty > ignorant

I'm trying to use Rprof() to identify bottlenecks and speed up a particullary slow section of code which reads in a portion of a tif file and compares each of the values to values of predictors used for model fitting. I've written up an example that anyone can run. Generally temp would be a section of a tif read into a data.frame and used later for other processing. The first portion

Hi Michael, A few comments 1. To add the constraint sum(wgt.vect=1) you would use the method of Lagrange multipliers. What this means is that in addition to the w_i (the components of the weight variables) you would add an additional variable, call it lambda. Then you would modify your optim.fun() function to add the term lambda * (sum(wgt.vect - 1) 2. Are you sure that you have defined

You can't -- at least as I read the docs for ?optim (but I'm pretty ignorant about this, so maybe there's a way to tweak it so you can). See here: https://cran.r-project.org/web/views/Optimization.html for other R optimization capabilities. Also, given your credentials, the r-sig-finance list might be a better place for you to post your query. Cheers, Bert Bert Gunter

Hello, I was used to count how many times every factor is found the following way : (assuming 'vect' is a vector of factors) tapply(vect,vect,length) but recently I experienced weird results with this In fact, my command line was tapply(ORGMORE[[1]][vect],ORGMORE[[1]][vect],length) where - 'vect' is a vector of indices - 'ORGMORE[[1]]' is a slightly long vector of