similar to: Anything like associative arrays in R?

Dear Wizards - Thank you so much for your help. That was exactly what I was looking for. Now, I have been working on conditional selection of columns in a data frame. My goal is to calculate the total revenue per sales representative per status in a table. I have come to a complete stop: Let's say, we have a data.frame called df with several columns and a number of rows: df <-

Dear WizaRds! A trivial question indeed on selecting subsets in data frames. I am sorry. Unfortunately, I did not find any helpful information on the introduction, searched the help archive and read in introductory books. Please help: I want to select column "KB" which is read via read.csv2 as a data.frame into d. I checked that it is indeed a data.frame object and included the

Hello everybody, I frequently have to produce barplots from variables the natural variation of which is far away from zero. A typical range would be, say from -16 to -28. So, the following example should give an "honest" presentation: x<-c(-20,-22,-21,-28) barplot(x,beside=T,ylim=c(-18,-30)) But using anything else but "0" for the first element of ylim leads to strange

In my job I write custom computer programs for data analysis, which are used in our company's consulting business. Whenever I've needed statistical analyses I've coded the algorithms myself, but my boss wants me to start learning and using R, to speed up development. I am very reluctuant to do this because I can't find adequate *programming* documentation for R (though I can find

Hi Frederick, I described what I meant in the post I sent to R-help (https://stat.ethz.ch/pipermail/r-help/2016-September/442174.html), but in brief, by "zero overhead" I mean that the only thing needed for library code to be accessible to client code is for it to be located in designed directory. No additional meta-files, packaging/compiling, etc. are required. Best, G. On Sun, Oct

On Mon, Oct 3, 2016 at 10:18 AM, <frederik at ofb.net> wrote: > Hi Kynn, > > Thanks for expanding. > > I wrote a function like yours when I first started using R. It's > basically the same up to your "new.env()" line, I don't do anything > with environmentns. I just called my function "mysource" and it's > essentially a "source

I'm an experienced programmer, but learning R is making me lose the little hair I have left... > list(NULL) [[1]] NULL > length(list(NULL)) [1] 1 > x <- list() > x[[1]] <- NULL > x list() > length(x) [1] 0 >From the above experiment, it is clear that, although one can create a one-element list consisting of a NULL element, one can't get the same result by

I'm looking for a way to approximate the "zero-overhead" model of code reuse available in languages like Python, Perl, etc. I've described this idea in more detail, and the motivation for this question in an earlier post to R-help (https://stat.ethz.ch/pipermail/r-help/2016-September/442174.html). (One of the responses I got advised that I post my question here instead.) The

Hi, The problem started when i installed a kodicom 4400 card and started to run zoneminder. Prior to that no problems with my machine, which now runs FreeBSD panix.internal.net 7.0-RELEASE-p3 FreeBSD 7.0-RELEASE-p3 #3: Mon Jul 14 16:35:37 EEST 2008 doroot@panix.internal.net:/usr/obj/usr/src/sys/GENERIC i386 This hardware change happened in Sunday Jul 13. The next day (Jul 14) morning

Hi, everyone. I'm trying to debug an R-module, written in C, and I'm using gdb for this. How can I print "standard" R objects from within C code? BTW, I'm familiar with the advice to use R_PV given in Writing R Extensions, but it's not working for me. E.g., I get (gdb) p R_PV(x) $1 = void and yet (gdb) p *x $2 = {sxpinfo = {type = 16, obj = 0, named = 0, gp = 0,

Hi! I'm new to R programming, though I've been programming in other languages for years. One thing I find most frustrating about R is how difficult it is to use Google (or any other search tool) to look for answers to my R-related questions. With languages with even slightly more distinctive names like Perl, Java, Python, Matlab, OCaml, etc., usually including the name of the language

I wonder if someone can give some pointers on alternatives to linear regression (e.g. Loess) when dealing with multiple variables. Taking any simple table with three variables, you can very easily get the intercept and coefficients with: summary(lm(read_table)) For obvious reasons, the coefficients in a multiple regression are quite different from what you get if you calculate regressions for

https://bugs.freedesktop.org/show_bug.cgi?id=32855 Summary: Incorrect image stretching with Render in RepeatPad mode, NV50 Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

https://bugs.freedesktop.org/show_bug.cgi?id=91705 Bug ID: 91705 Summary: [NVE7] GPU crash (read fault) on boot w/ DMI+HDMI outputs Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium Component:

Hi! I'm working on a package that must convert data to and from JSON. For this, it can use either the rjson package, or preferably, the faster RJSONIO package. I have two related questions about this. First, how can I specify that the package depends on *either* RJSONIO *or* rjson? (I.e. both are not required.) Second, what's the best-practice R idiom for such conditional loading?

Is there a *fast* converter between JSON and R? I'm aware of the rjson package, but it is implemented in R, and it is too slow for my purposes. TIA! kynn [[alternative HTML version deleted]]

I'm in the process of coding a parser (in C) to generate R entities (vectors, lists, etc.) from a text description (different from R). The basic parser works, and now I need to tell it how to create R entities. I need to be able to create character vectors (for unicode strings), integers, floats, unnamed lists, named lists, boolean values, and NA. With the exception of the two types of lists

When converting from JSON to R it seems logical that a JSON array would correspond to an "unnamed" R list, while a JSON object would correspond to a "named" R list. E.g. JSON: [1, 3.1415927, "foo", false, null] => R: list(1, 3.1415927, "foo", FALSE, NA); and JSON { "int": 1, "float": 3.1415927, "string": "foo",

I'm very green with R, so maybe this is not a bug, but it looks like one to me. The following program segfaults at the second call to Rf_PrintValue(). To failure depends on the value of the y-string. E.g., if I change it from "coverage" to, say, "COVERAGE", the segfault does not occur. /* bug.c */ #include <stdio.h> #include <Rinternals.h> #include

Suppose function foo calls function bar. Is there any way in which bar can find out the name of the function that called it, "foo"? There are two generalization to this question that interest me. First, can this query go farther up the call stack? I.e. if bar now calls baz, can baz find out the name of the function that called the function that called it, i.e. "foo"?