similar to: How to understand packages, namespaces, environments

Hi all, I'm hoping someone could tell me what best practices are as far as keeping programs organized in R. In most languages, I like to keep things organized by writing small functions. So, suppose I want to write a function that would require helper functions or would just be too big to write in one piece. Below are three ways to do this: ################### Style 1 (C-style)

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Dear list! In an effort to get feedback and spread the word, here follows the second article about possibilities to structure manifests. These Design Patterns are more general than the typical Puppet Recipie and will receive a own page on the wiki when I collect enough[1] material. To the meat: humane class names with namespaces Class names

I noticed the following today --- str() seems to remove any extra class information added to an environment. > e <- new.env() > class(e) [1] "environment" > class(e) <- c("foo", class(e)) > class(e) [1] "foo" "environment" > str(e) Classes 'foo', 'environment' length 0 <environment> > class(e) [1]

Hi all, I'm trying to understand how the search path and namespaces interact. For example, take the devtools package which suggests the testthat package. Here's what the search path looks like after I load each of those packages: > library(devtools) > search() [1] ".GlobalEnv" "package:devtools" "package:stats" [4]

This is a question about namespaces and assignment. It's occasioned because one of my functions stopped working at about R1.6 with the arrival of 'namespace:base', and I'm anxious to find out what will happen when 1.7 arrives. But the question might be of more general relevance (hence my desire to get it in before "lockdown" on 9th April). I have a function

Dear r-users! I wonder if there is a way of designing a directory like structure for holding my data using environments? It would be nice if I could implement a kind of 'cd' command to change to a differend environment etc. Can anybody give me a hint? -cl -- Christoph Lange MPI fuer biologische Kybernetik |Phone: +49-7071-601-607| Postfach 2169, D-72012 Tuebingen |FAX:

# # r-bugs@r-project.org # ###################################################### Because I work in different directories, but always want to save my .Rhistory in the same place, I have changed the system function savehistory to this: function (file = "D:/R50/.Rhistory") invisible(.Internal(savehistory(file))) When I use q() to quit R, and it asks me whether I want to

Thanks-- as Duncan Murdoch also noted, R_HISTFILE can be used to solve my problem, as below. BTW it's not easy to find out about R_HISTFILE in the help system or manuals, though, unless you already know it exists-- it only seems to be described under startup options, not things to do with history. However, Duncan's reply did hint at an inconsistency, in that savehistory() defaults to

Dear list members, I've been puzzling over how best to clean up the code for my Rcmdr package. In particular, there's a lot of repetitive tcltk code in the package, and as Martin M?chler has pointed out to me, this makes the package difficult to maintain. If R were Lisp, I'd use macros for much of the clean up. My efforts to do similar things with R functions has run into problems

Hi, I am trying to list the shares on a windows ME machine and I am getting the following [root]# smbclient -L 192.168.0.253 added interface ip=192.168.0.1 bcast=192.168.0.255 nmask=255.255.255.0 session request to 192.168.0.253 failed (Called name not present) session request to 192 failed (Called name not present) session request to *SMBSERVER failed (Called name not present) I have also tried

Dear r-devel, I was surprised to see that saveRDS() and readRDS() work quite well with environments, see below: ``` z <- 3 # in global env y <- new.env() y$a <- 1 x <- new.env(parent = y) x$b <- 2 saveRDS(x, "x.RDS") # in a new session x <- readRDS("x.RDS") y <- parent.env(x) x$b #> [1] 2 y$a #> [1] 1 parent.env(y) #> <environment:

Hello R devel/help, I ran into this strange behavior: # showstack is supposed to walk through the stack of parent # environments when it is called: showstack = function() { env = environment() for(i in 1:12) { env = do.call(parent.frame, list(), env=env) print(env) } } # a simple chain of functions: g3=function(t) showstack()

Hello R devel/help, I ran into this strange behavior: # showstack is supposed to walk through the stack of parent # environments when it is called: showstack = function() { env = environment() for(i in 1:12) { env = do.call(parent.frame, list(), env=env) print(env) } } # a simple chain of functions: g3=function(t) showstack()

All, The Windows 2000 client is on my side of the firewall (the error message is: "remote computer is not available"), the Windows XP client is on the other side of the firewall, (the error message is: "The specified network name is no longer available"). I am able to ping both the IP address and server name of the CIFS/Samba server. I cannot perform the mapping, via Map

# 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@r-project.org # ###################################################### > x <- rnorm(10) > y <- 1:10 > xyplot(y ~ x) >

I am using GRASS 5.7 and R 2.0 for OS X. I have a simple xy location I am doing some theoretical work with and would like to import maps into R using the interface in order to do analyses. Yet when I attempt to do this, I get the following error: >G<-gmeta() Error in gmeta() : region for current mapset is invalid line 11: <top: 100> run "g.region" I traced the

I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121 records This function works well for smallish records getcsv=function(fname){ ff=file(description = fname) x <- readLines(ff)

tl;dr: S3 lookup no longer works in custom non-namespace environments as of R 3.6.1. Is this a bug? I am implementing S3 dispatch for generic methods in environments that are not packages. I am trying to emulate the R package namespace mechanism by having a ?namespace? environment that defines generics and methods, but only exposes the generics themselves, not the methods. To make S3 lookup work

Using > methods("plot") [1] plot.Date* plot.HoltWinters* plot.POSIXct* [4] plot.POSIXlt* plot.TukeyHSD plot.acf* [7] plot.data.frame* plot.decomposed.ts* plot.default [10] plot.dendrogram* plot.density plot.ecdf [13] plot.factor* plot.formula* plot.hclust* [16] plot.histogram* plot.isoreg* plot.lm [19] plot.medpolish*

Hi all, The function call series genericForPrimitive -> .findBasicFuns -> .findAll happens 4400 times while the GenomicRanges package is loading. Each time .findAll follows a chain of environments to determine that the methods namespace is the only one that holds a variable called .BasicFunsList. This accounts for ~10% of package loading time. I'm sure there is some history to that