reference-class

how do I document the use of member functions of a reference class? if I write a Rd file with a \usage block, how do I avoid the WARNING Functions/methods with usage in documentation object 'XmlDoc' but not in code: $ new I'd expect the \usage block to allow me write things like: obj <- ClassName$new(par1, par2, ...) obj$method1(oth1, ...) and then I'd document the parameters in the \arguments block. If I do this, R CMD check complains with Assignments in \usage in documentation object 'ClassName': and does not recognize the methods as code objects I need document. as of now, I am writing Rd

I would like to use a custom reference class inside another reference class, but this code fails: nameClass <- setRefClass("nameClass", fields = list(first = "character", last = "character"), methods = list( initialize = function(char){ chunks <- strsplit(char,"\\.") first <<- chunks[[1]][1] last <<- chunks[[1]][2] }, show = function(){ cat("Special Name Class \n:") cat("First Name:") methods::show(first) cat("Last Name:") methods::show(last) } )) # this works fine nameClass$new("tyler.durden") When I try to add a second class that has a field of class nameClass this class cannot be initiated.

I have a ggplot2 plotting function as part of my code. The function works fine when the file is sourced as R code, however when I include this function in an R package (and of course I include ggplot2 and scales both in the DESCRIPTION and in the NAMESPACE files of the package) I am getting the following error: Error in initFields(scales = scales) : could not find function "initRefFields" The respective call of scales in the ggplot2 object is the following: + facet_wrap(~PV_Type, ncol = 1, scales = "free") + I run the latest R (3.2.0) and the latest ggplot2 (1.0.1) installed from source. A

I have a list of fairly large objects that I want to apply a complicated function to in parallel, but my current method uses too much memory. I thought Reference Classes might help, but using mcapply to modify them doesn't seem to work. The function modifies the object itself, so I overwrite the original object with the new one. Since the object is a list and I'm only modifying a small part of it, I was hoping that R's copy-on-modify semantics would avoid having multiple copies made; however, in running it, it doesn't seem to be the case for what I'm doing. Here's a small example of the base R

I am currently writing a package using reference classes. I have come across an issue which from reading various sources: Method initialisation in R reference classes Can't reliably use RefClass methods in Snowfall I gather is caused because reference methods are not all copied to every object in the class rather they are copied when first accessed. https://stat.ethz.ch/pipermail/r-devel/2011-June/061261.html As an example define: test <- setRefClass("TEST", fields = list( a = "numeric"), methods = list( addone = function(){ a <<- a+1 }, initialize = function(){ a <<- 1 } ) ) example <- test

I'm attempting to generate reference classes within an R package on the fly, and it's proving to be fairly difficult. Here are the approaches I've taken and problems I've run into: I'm creating a package in which I hope to be able to dynamically read in a schema and automatically generate an associated reference class (think SOAP). Of course, this means I won't be able to define my reference classes before-hand in the package sources. I initially attempted to create a new class using a simple: myClass <- setRefClass("NewClassName", fields=list(fieldA="character")) which, of course, works fine