similar to: Help with the generic function "["

# I have a simple function problem. I thought that I could write a function to modify a couple of vectors but I am doing something wrong #I have a standard cost vector called "fuel" and some adjustments to the #costs called "adjusts". The changes are completely dependend on the length #of the dataframe newdata I then need to take the modifed vectors and use # them later. I

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

Hi all, In short: I'm running ddply on an admittedly (somehow) large data.frame (not that large). It runs fine until it finishes and gets to the "collating" part where all subsets of my data.frame have been summarized and they are being reassembled into the final summary data.frame (sorry, don't know the correct plyr terminology). During collation, my R workspace RAM usage goes

Thank you Andrew, really appreciated. I have now run 'samba-tool dbcheck --cross-ncs --fix' and it has successfully fixed some errors; there were 110 previously, however there are still 69 remaining after a second pass of dbcheck --fix. The remaining errors seem to be mainly of this form: ERROR: duplicate attributeID values for myattrib in replPropertyMetaData on

On Fri, 2016-04-15 at 00:32 +0100, Jonathan Hunter wrote: > Thank you Andrew, really appreciated. > > I have now run 'samba-tool dbcheck --cross-ncs --fix' and it has > successfully fixed some errors; there were 110 previously, however > there are still 69 remaining after a second pass of dbcheck --fix. > > The remaining errors seem to be mainly of this form: >

On 14 April 2016 at 13:37, Jonathan Hunter <jmhunter1 at gmail.com> wrote: > # samba-tool dbcheck --cross-ncs > Checking 4079 objects > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x00290001 > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x0029000a > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x00290004 > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x0009030e >

On Thu, 2016-04-14 at 18:07 +0100, Jonathan Hunter wrote: > On 14 April 2016 at 13:37, Jonathan Hunter <jmhunter1 at gmail.com> > wrote: > > > # samba-tool dbcheck --cross-ncs > > Checking 4079 objects > > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x00290001 > > MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk: 0x0029000a > >

Thank you, Andrew - I hadn't done so. (In a good way, I haven't yet had problems with samba that have caused me to delve quite so deeply into the DB :) so I'm not as familiar with the range of tools as I could be, sorry!) This has flagged up quite a few errors, all along the lines of: # samba-tool dbcheck --cross-ncs Checking 4079 objects MYOBJ=value,OU=myou,DC=mydomain,DC=org,DC=uk:

Hi there, I''d like to choose between an "static" and "dynamic" access of a reference class field, say ''a''. myObj <- getRefClass("Blabla")$new() Static: myObj$a Dynamic: myObj$a.get() where the function retrieves the data from a database (or some other location), stores it to a buffer and

Sorry in advance if this is too simple a question, but I'm stuck with some odd behavior and I can't find the text to rid myself of this (admittedly somewhat trivial) problem. Note that I've done generic programming with S3 "objects" in the past, but I've never really dabbled in creating S4 objects until now. So, I've created a new S4 class, call it

On 09/08/2018 5:45 PM, Abs Spurdle wrote: > I apologize if this issue has been raised before. > > I really like object oriented S3 programming. > However, there's one feature of object oriented S3 programming that I don't > like. > Generic functions can have arguments other than dots. > > Lets say you have an R package with something like: > >

We (the lme4 authors) are having a problem with doing a proper deep copy of a reference class object in recent versions of R-devel with the LAZY_DUPLICATE_OK flag in src/main/bind.c enabled. Apologies in advance for any improper terminology. TL;DR Is there an elegant way to force non-lazy/deep copying in our case? Is anyone else using reference classes with a field that is an external pointer?

Hi all, Could you please help me? I am having the following weird problem when debugging R programs using "browser()": In my function, I've inserted a "browser()" in front of Step 1. My function has 3 steps and at the end of each step, it will print out the message "Step i is done"... However, after I hit <ENTER> when the program stopped before Step 1

Hi the list, I am defining S4 objet. Is it possbile to define a method that change the slot of an object without using <- ? My object contain a numeric and a matrix. At some point, I would like to impute the missing value in the matrix. So I would like to use something like : ----------------- setClass("MyObj",representation(time="numeric",traj="matrix")) a

Hi, I'm developing in S4 and I wanted to see the methods for a specific class using showMethods but I didn't succed. Can someone help ? See the example below. setClass("myclass", representation( name ="character" ) ) setGeneric("mymeth", function(obj, ...){ standardGeneric("mymeth") } ) setMethod("mymeth",

Hello everyone, I'm working on a package using S4 classes and methods and I ran into the following "problem" when I tried to create an "apply" method for objects of one of my new classes. I've found a way around the problem but I wonder if I did not paint myself into the corner. I'd like your opinion about that. So I have an object "myObj" of class

Hi all, I have the following problem: I have a csv-file consisting of timestamp values (no dates), e.g.: Timestamp1;Timestamp2; 05:24:43;05:25:05; 15:47:02;15:47:22; 18:36:05;18:36:24; 15:21:24;15:22:04; I need a vector with the difference of the two timestamps, so I read the data with the read.csv-function: myObj <- read.csv("file.csv",header=TRUE,sep=";"). I have then

Hi! Like to write quite a lot (ca 100) of objects from my envirovment with save. The names of the objects are in a list nam. nam<-dir() nam<-grep("E",nam,value=T) length(nam) 20 for(x in nam) { #reads the objects and assigns the names. assign(x,simFromEmboss(Simmatrix(),x)) nnam<-paste(x,".rda",sep="") print(nnam) save(x,file=nnam) } I knew that

Hi all, Can anyone help me understand why an implicit print (i.e. just typing df at the console), is so much slower than an explicit print (i.e. print(df)) in the example below? I see the difference in both Rstudio and in a terminal. # Construct large df as quickly as possible dummy <- 1:18e6 df <- lapply(1:10, function(x) dummy) names(df) <- letters[1:10] class(df) <-

I am writting some functions that return an array of coefficients along with confidence intetervals for each coefficient. My intent is to eventually typeset the coefficients and intervals into a table (or tables) in a document. I would like to use existing tools such as the 'latex' function in the Hmisc package, the 'odfTable' function in odfWeave package, or 'HTML' in