similar to: Replacing a few variable values within a DataFrame...

Hello list, I just started R today and tried something quite simple. I wanted to create a colored plot and eventually after hours of fiddling around got it working. However, my solution seems very suboptimal and I'd really appreciate your hints on how to improve. I believe that R already offers many functions I coded (e.g. distance between two vectors, vector length, vector normalization and

Hi theora-list, I'm involved in in a project to redistribute C-SPAN's floor footage from the US house and senate that we're capturing and converting*. This footage is in the public doman, however there's a C-SPAN overlay which is a registered trademark - we're having to overlay a "public domain" graphic on top of it. We're currently doing this with

Good morning, I am investigating dll import in R under Windows XP. Using examples I found on the internet, I started with a very simple dll, e.g. including only the basic function: void { *x2 = x*x; }sqr(doublex, double*x2) I compiled it as a dll with Eclipse and Cygwin's gcc. It works when I call it with another simple .exe C program, compile with Eclipse and gcc as well. I can do what I

Thanks so much! This seems to do the trick. I would have spun my wheels for a long time before discovering all of this, wow. Do I even want to know what additional chickens need to be sacrificed to get this to work on Windows? -- lg > On May 18, 2016, at 1:52 PM, Lang Hames <lhames at gmail.com> wrote: > > Hi Larry, > > You're basically there, but you're hitting

When using ORC JIT, I'm having trouble with external function resolution (that is, of a function defined in the app, with C linkage). I add a declaration for the function to my IR, and when I use MCJIT, it finds it and all is well, But when I use ORC JIT (I *think* correctly, at least it closely matches what I see in the tutorial), I get an LLVM error, "Program used external function

Hi Larry, Thanks so much! This seems to do the trick. I would have spun my wheels for > a long time before discovering all of this, wow. No worries. :) I'll try to keep this in mind and make sure I address it in future Kaleidoscope tutorial chapters - these issues tripped me up the first time I encountered them too. Do I even want to know what additional chickens need to be sacrificed

>> llvm::sys::DynamicLibrary::LoadLibraryPermanently(nullptr) This is one is a bit tricky and hard to find. I spent quiet some time digging into MC and ORC JIT execution engines trying to find what makes them work. The problem is that this trick (LoadLibraryPermanently) happens inside of EngineBuilder, despite that the functionality belongs to a JIT engine itself, not to the builder. I

Full_Name: Jae Choi Version: 1.6.1 OS: linux (x86) Submission from: (NULL) (142.176.61.245) Hello, Any attempts to access the "hsv" function returns the following type of error: Error in hsv(h = seq(start, ifelse(start > end, 1, 0) + end, length = n)%%1, : color intensity 1.25, not in [0,1] (the above was generated from the demo command: > pie(rep(1, 24), col =

I was having some problems persuading optim() to give me the answers I wanted, & simplified down to: sqr<-function(x){(x+1)^2} optim(1,sqr) I accept this is a hammer to crack a nut, but was still expecting the answer -1. I got: $par [1] -0.8 $value [1] 0.04 $counts function gradient 12 NA $convergence [1] 0 $message NULL so I've

I think I am using the improved version of setdiff(...) that handles data.frames, so I think some odd behavior was expected but this one is escaping me. It appears that the the addition of duplicate entries is not caught by the setdiff(...). Is this expected behavior? If so, is there another method or approach that should be used to identify duplicate row entries between two different data

Following a discussion about numerical performance on comp.lang.functional recently I just tried running a simple C mandelbrot benchmark that uses C99's complex arithmetic using gcc and llvm-gcc on a 2.1GHz Opteron 2352 running Debian: gcc: 5.727s llvm-gcc: 1.393s There is still 20% room for improvement but LLVM is >4x faster than gcc here. Sweet. Here's the code: #include

Full_Name: David M. Potter Version: 0.64.1 OS: solaris 2.6 Submission from: (NULL) (12.18.36.220) cm.colors() returns an extra element "1": > cm.colors(10) "#7FFFFF" "#99FFFF" "#B2FFFF" "#CCFFFF" "#E5FFFF" "#FFE5FF" "#FFCCFF"

Dear R-developers, I finally got around to install R 1.1.0 but had problems at the `make check' stage. After compiling the released R 1.1.0 version the `make check' stage stopped while checking the examples in base. There was some problem with the quantile function and the check stopped complaining that NA's are not allowed. But I assume that this problem is already known because

Ross posted this code: persp(x, y, z, col = cm.colors(10)[floor(9 * hgt + 1)], theta = 35) I hadn't seen the cm.colors function before; it's very nice! I wanted to modify it a bit to allow the start and end colors as well as the max saturation to be specified, and I think I may have turned up a bug in the hsv() function. Here's the evidence of the bug: Look at the results of

Currently I have a CSV with mixed input types that I am trying to read in and reformat without having to list off all the column names.? Below is an example of the data: HouseColor, HouseSize, HouseCost Blue, 1600, 160e3 Blue, 1600, 160e3 Actually I have about 60 columns like this, so imagine the above repeated about 30 times column-wise.? Luckily the ones in scientific notation are grouped

On 23/02/2023 4:36 a.m., Sigbert Klinke wrote: > Hi, > > I would have expected that I get always 3 colors as result which is not > true: > > hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors > > heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors > > terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors > >

-----Original Message----- From: Duncan Murdoch [mailto:murdoch at stats.uwo.ca] Sent: ned 2004-10-17 15:34 To: Gorjanc Gregor Cc: r-help at stat.math.ethz.ch Subject: Re: [R] Plotcorr: colour the ellipses to emphasize the differences On Sun, 17 Oct 2004 02:51:58 +0200, "Gorjanc Gregor" <Gregor.Gorjanc at bfro.uni-lj.si> wrote: [removed old stuff] >>I would also like to

Hi, Is there a way to incorporate an R object x to a file already containing R objects? It seems that 'save' is not capable to do this. If I save x to a file containing previously saved data, then I will lose this data. I use the funcion hsv in .Rprofile but it is recognized. Couriously, if I source .Rprofile when R is already running I do not get any error message. Thank you.

I noticed a problem using R 2.7.1 on Windows XP SP2 with the precompiled Atlas Rblas.dll. Running the code below causes R to crash. I started R using Rgui --vanilla and am using the precompiled Atlas Rblas.dll from cran.fhcrc.org dated 17-Jul-2007 05:04 for Core2 Duo. The code that causes the crash: x <- rnorm(100) y <- rnorm(100) z <- rnorm(100) loess(z ~ x * y) loess(z ~ x) does

Thanks, no malloc or free equivalents either (no heap). So, there are no others (to your knowledge) who have built an LLVM backend for a platform with no “normal” stack? I found a presentation about some FPGA work (using LLVM) but it doesn’t seem to apply to my platform. Perhaps someone else on the mailing list will have come across this rarity? Thank you again for your time and