similar to: How to set plot resolution

Should I expect to be able to build 2.10 at the moment? Ubuntu intrepid Linux bolker-lap2 2.6.27-14-generic #1 SMP Wed Jul 29 09:01:45 UTC 2009 i686 GNU/Linux Gnu Make 3.81 gcc 4.3.2 =========== svn update Restored 'src/library/Makefile.in' At revision 49309. ============ ./configure [...] R is now configured for i686-pc-linux-gnu Source directory: . Installation

With floating point numbers I'm seeing 'cut' putting values in the wrong bands. An example below places 0.3 in (0.3,0.6] i.e. 0.3 > 0.3. > x = 1:5*.1 > x [1] 0.1 0.2 0.3 0.4 0.5 > cut(x, br=c(0,.3,.6)) [1] (0,0.3] (0,0.3] (0.3,0.6] (0.3,0.6] (0.3,0.6] Levels: (0,0.3] (0.3,0.6] I'm sure this is probably the same issue documented in the FAQ (7.31 Why doesn't R

Full_Name: Ludo Pagie Version: 2.10.0 OS: linux, ubuntu, 8.04 Submission from: (NULL) (83.163.218.221) when I make a polygon with 100,000 vertices my X-server is being killed. This occurs in R-2.9.0 and a freshly installed R-2.10.0 I'm running Ubuntu with a locally compiled R: uname -a Linux onyx 2.6.24-24-generic #1 SMP Tue Aug 18 16:22:17 UTC 2009 x86_64 GNU/Linux xlower = -2e6:2e6

Dear friends - merry Christmas and thanks a lot for much help during the year! In the example below I fail to understand how the calculated value pH is represented in a simple plot - also included. The calculations are useful in practice and likely to be right in principle but I cannot see how this occurs: why a calculated value of 7.4 known as numeric is not simply plotted as such. It

Dear friends - copy paste missed SID <- c() before the first loop - sorry BW Troels Den 25-12-2017 kl. 19:12 skrev Troels Ring: > > Dear friends - merry Christmas and thanks a lot for much help during > the year! > > In the example below I fail to understand how the calculated value pH > is represented in a simple plot - also included. The calculations are > useful

Hi everyone, Hi Hadley, I am a heavy user of coord_equal() in ggplot2 since most of my data is spatial, on x,y coordinates. Everything works. However by enforcing an aspect ratio of 1 for the plotting region, coord_equal() usually wastes a lot of space if the region of interest is not a perfect square. For example: x=runif(10) a=data.frame(x=x*3,y=x) ggplot(data=a, aes(x=x,y=y)) +

Hello all - This code will run, but it bogs down my computer when I run it for finer and finer time increments and more generations. I was wondering if there is a better way to write my loops so that this wouldn't happen. Thanks! -Tyler ################# # Bifurcation diagram # Using Braaksma system of equations # We have however used a Fourier analysis # to get a forcing function

Dear all, I have a function MYFUN which depends on 3 positive parameters TETA[1], TETA[2], and TETA[3]; x belongs to [0,1]. I integrate the function over [0,0.1], [0.1,0.2] and [0.2,0.3] and want to choose the three parameters so that these three integrals are as close to, resp., 2300, 4600 and 5800 as possible. As I have three equations with three unknowns, I expect the exact fit, i.e., the SS

Thanks a lot - formatting the ordinate as ylim=c(4,10) before plotting pH also removed the problem, and options(digits=10) confirmed that pH was not all exactly 7.4 - as I knew. Still I wonder just why R chooses to plot(ATOT,pH) as shown with repeated "7.4" instead of some more detailed representation. Thanks a gain and happy New Year! Troels Den 26-12-2017 kl. 01:03 skrev Bert

Does anyone have an address for a maintainer, or know what's going on? cheers Ben Bolker ben at bolker-lap2:~$ ping wiki.r-project.org PING econum.umh.ac.be (193.190.194.5) 56(84) bytes of data. ^C --- econum.umh.ac.be ping statistics --- 8 packets transmitted, 0 received, 100% packet loss, time 6999ms ben at bolker-lap2:~$ traceroute wiki.r-project.org traceroute to

As I think it is not spam but helpful, let me repeat my stats.stackexchange.com question here, from http://stats.stackexchange.com/questions/16346/difference-between-lp-or-simply-in-rs-locfit I am not sure I see the difference between different examples for local logistic regression in the documentation of the gold standard locfit package for R:

Dear all, I want to : 1. Estimate a weighted 2D kernel. 2. Paint a heatmap on a ggmap. Here is some reproducible data / code (I got it from the internet) : s_rit <- structure(list(score = c(45, 60, 38, 98, 98, 53, 90, 42, 96, 45, 89, 18, 66, 2, 45, 98, 6, 83, 63, 86, 63, 81, 70, 8, 78, 15, 7, 86, 15, 63, 55, 13, 83, 76, 78, 70, 64, 88, 61, 78, 4, 7, 1, 70, 88, 58, 70, 58, 11, 45, 28, 42,

I am aware this has been asked before but I could not find a resolution. I am doing a logit lg <- glm(y[1:200] ~ x[1:200,1],family=binomial) Then I want to predict a new set pred <- predict(lg,x[201:250,1],type="response") But I get varying error messages or warnings about the different number of rows. I have tried data/newdata and also to wrap in data.frame() but cannot get

Hi, Using R 2.8.0 on Windows, I have a mathematical model written in C++, the model writes to file (.txt) a set of numbers I want to plot in R. The model iterates over about 10,000 runs, each time overwriting the old with the new set of results to the output file. I want to be able to continuously plot the output from the model in R each time a new run generates data. At the moment I tried

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Begin forwarded message: > From: David Winsemius <dwinsemius at comcast.net> > Date: January 26, 2011 8:32:30 AM EST > To: Alaios <alaios at yahoo.com> > Subject: Re: [R] MAtrix addressing > > > On Jan 26, 2011, at 7:58 AM, Alaios wrote: > >> Unfortunately right now is convoluted... by I was trying to find >> some solution. >> Bring again

Hi, I am new to this mailing list. Didn`t find the answer in the archives. But I guess, there are people out there, who know the solution: In an automatic script, I want to produce simple plots. First I prefer pdf, because of scalability and standardization. But when I have too many datapoints (say 300.000) the viewing and printing is very, very slow. So I decided to take some bitmapped format

R users, I have a problem with function strwidth in 2.7.1. I'm trying to set the plot margins in a way that horizontal column labels will fit to the graph. tmp.t is a list of data.frame objects. This code works well in 2.6.0. ...snip.. library(gplots) for (i in names(tmp.t)) { bmp(filename=paste(i, "_", Sys.Date(), ".bmp", sep=""), width=1038,