similar to: hist(..., log="y")

hist() is designed so that the total area sums to 1. You should build you desired behavior using a barchart. ? David Sent from my iPhone > On Aug 5, 2023, at 11:50 PM, Ott Toomet <otoomet at gmail.com> wrote: > > ?Sorry if this topic has been discussed earlier. > > Currently, hist(..., log="y") fails with > >> hist(rexp(1000, 1), log="y")

I have a small handheld pc having ARM process as a CPU. I installed debian and installed R using apt-get command. Everything worked great except for drawing even simple graphs x <- 1:10 plot(x) I got error messages 1: Nonfinite axis limits [GScale(nan,nan,1, .); log=0] 2: relative range of values = 9.0072e+15 * EPS, is small (axis 1). 3: Nonfinite axis limits

Hi, I am new to R plot. I am trying to scale my y axis in log. When I do this I receive the following error Error in axis(side = side, at = at, labels = labels, ...) : CreateAtVector [log-axis()]: axp[0] = 0 < 0! In addition: Warning messages: 1: In plot.window(...) : nonfinite axis limits [GScale(-inf,1.31772,2, .); log=1] 2: In axis(side = side, at = at, labels = labels, ...) :

I have a list of vectors of length 2, each representing a point in 2-space, and each of which I wish to plot on the current plot. In a loop, I assign the x and y coordinates of the current element of the list to variables 'x' and 'y' respectively, then make a call to plot as follows: par(new = TRUE) plot(x,y, xlim = c(0,1),ylim=c(0,1), xlab <- "x", ylab <-

Dear All, I've tried to add axis limit ( e.g. ylim=c(0,50)) to the log-log plot, but it turn out to be error (see below). Any solution is much appreciated. > plot(maxsd$tph,maxsd$qdbh,log="xy",xlab="Stand density(trees per ha)",ylab="Quadratic mean dbh (cm)",ylim=c(0,50)) Error in plot.window(xlim, ylim, log, asp, ...) : Infinite axis extents

Is it possible to force beanplot not to use a log scale? I want to be able to create multiple beanplots of different data on the same specified y-axis. When I try to force a ylim, I get the following... > beanplot(reg5vel,ylim=(c(0,12000))) log="y" selected Warning message: In plot.window(xlim = c(0.5, 7.5), ylim = c(0, 12000), log = "y") : nonfinite axis limits

I post this message on R-help mailing list but someone emailed me that I can get helped if I post this one on R-devel mailing list. I have a small handheld pc having ARM process as a CPU. I installed debian and installed R (R-1.7.0 base and core, help html, latex-help) using apt-get command. Everything worked great except for drawing even simple graphs x <- 1:10 plot(x) I got error

Debian tries to build its packages on a variety of platforms. The arm platform compiled 0.90.1 (the last Debian release before the Debian package required an Atlas library, something we no longer require) failed in 'make check'. The log snippet follows; I traced this to the example(Bessel) code. > matplot(nu, t(outer(xx,nu, besselI)), type = 'l', ylim = c(-50,200), +

Hi, I get a lot of error messages with this command, but I don't understand why; plot(c(),c(), xlim=c(1,10), ylim=c(0,10000), log="y") thanks for any help! [[alternative HTML version deleted]]

Hi everybody, while performing ks.test for a standard exponential distribution on samples of dimension 2500, generated everytime as new, i had this strange behaviour: >data<-rexp(2500,0.4) >ks.test(data,"pexp",0.4) One-sample Kolmogorov-Smirnov test data: data D = 0.0147, p-value = 0.6549 alternative hypothesis: two.sided >data<-rexp(2500,0.4)

Here are another three problems with logarithmic scales: 1) segments() does not work with logarithmic scales. I suggest to change lines 962-973 in "plot.c": for (i = 0; i < n; i++) { if (FINITE(xt(x0[i%nx0])) && FINITE(yt(y0[i%ny0])) && FINITE(xt(x1[i%nx1])) && FINITE(yt(y1[i%ny1]))) { GP->col = INTEGER(col)[i % ncol];

dear list I use runif to generate a ramdom number between min and max runif(n, min=0, max=1) however , the syntaxe of rexp does not allow that rexp(n, rate = 1) and it generate a number with the corresponding rate. The question is: how to generate a number between min and max using rexp(). Regards -- PhD candidate in Computer Science Address 3 avenue lamine, cité ezzahra, Sousse 4000

[This is something like a bug report; maybe somewhat longish & technical ..] As an introduction, just try the following code (it should work both in R and S). I think it screws up the postscript() driver both for S and R, but this is not the issue here. is.R <- function() { ## returns 'TRUE' iff we are using 'R' exists("version") && !is.null(vl

Paul, I was trying to make a minimal self contained example, but I guess I went too far on the minimizing. The original problem came from code more like: library(TeachingDemos) hist(rexp(1000), main='') abline( v=1, col='red') sp.par <- subplot(hist(rnorm(100), main=''), x='topright') op <- par(sp.par[c('usr', 'plt')]) abline(v=0,

R-devel Digest Monday, September 24 2001 Volume 01 : Number 314 In this issue: [Rd] R 1.3.1 fails 'make check' on arm in the Bessel example (PR#1097) [Rd] Bug list summary (automatic post) [Rd] (PR#1089) Can be closed See the end of the digest for information about r-devel-digest ---------------------------------------------------------------------- Date: Fri, 21

Hi all, Can I run a cointegrating regression, for example delta Xt=a1(Yt-1-cXt-1)+E1t and delta Yt=-b1(Yt-1-cXt-1)+E2t with R were Xt and Yt are non stationary time series at t a,b,c are parameters and E1t and E2t are error terms at t. Yt-Xt is stationary Any suggestions are welcome. Best regards, /fb -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Hi all, I want to estimate parameters from a VARMA(p,q)-Modell. The equations of the model or the model structures is given by: Xt=beta1+beta2*Xt-1+beta3*Yt-1+epsilon1 Yt=beta4+beta5*Yt-1+espilon2 epsilon1 and espilon2 are white noise. Xt is given by a vector of n elements e.g. (2, 4, 7, 9, …,n)’ and Yt is given by a vector of n elements e.g. (4,9,12,17,…,n)’. The lineVar from

I'm having trouble creating a looping variable and i can't see wher ethe problem arises from any hep gratfully appreciated First create a table x<-table(SURVEY$n_0,exposed) > x exposed False True Under 16 24 1 16-19 68 9 20-24 190 37 25-34 555 204 35-44 330 87 45-54 198 65 55-64 67 35 65+

Hi again! Suppose I have the following: > xy <- round(rexp(20),1) > xy [1] 0.1 3.4 1.6 0.4 1.0 1.4 0.2 0.3 1.6 0.2 0.0 0.1 0.1 1.0 2.0 0.9 2.5 0.1 1.5 0.4 > table(xy) xy 0 0.1 0.2 0.3 0.4 0.9 1 1.4 1.5 1.6 2 2.5 3.4 1 4 2 1 2 1 2 1 1 2 1 1 1 > Is there a way to set things up to have 0 - 0.4 0.5 - 0.9 etc. please? I know there is the cut

Full_Name: Arne Henningsen Version: 2.3.0, 2005-11-21, i686-pc-linux-gnu OS: SuSE Linux 9.0, Kernel 2.4.21 Submission from: (NULL) (134.245.140.242) I did not find any problems in "./configure" and "make", but "make check" fails: make[4]: Entering directory `/home/suapm095/Download/R-devel/tests/Examples' collecting examples for package 'base' ...