similar to: postscript and ps.option metrics

Dear R-users, Basically, everything is in the title of my e-mail. I know that some threads from the archives have already addressed this question but they did not really give a clear solution. Here is a series of short codes that will illustrate the problem: # First a<-1:10 plot(x=a,y=a,log="y",type="p") # Second a<-1:10 myTicks<-c(1,2,5,10)

When I try to plot two lines ( or scatterplots) with different scales, this is what I have been doing: Suppose: I have y1 and y2 in a very different scale y1 = 1:100 y2 = c(100:1)*10 To plot them on top of each other and denote by different colors: I have to figure out the correct scale '10' and corresponding tick.vector and lables. Then do: plot(1:100, y1) # I can have

Do the "at" and "labels" components of the "scales" list argument to xyplot not do what you want? Cheers, Bert On Thu, Sep 5, 2024 at 4:05?AM Gerrit Draisma <gdraisma at xs4all.nl> wrote: > Dear R-helpers, > > In the plot below I would like to have labels at positions 2^(3*(0:10)), > and keep the labels in the exponential format. > I tried

Hi everyone. I am new to R. It will be greatly appreciated if someone can help me with the following questions. Here's the graph I have just produced. http://www.nabble.com/file/p24732839/calibration.jpeg (1) How can I put the legend on top of the grid lines? (2) How can I match the grid lines with the x-axis ticks? (3) How can I change the x-axis format from e.g. Mar, Apr...etc to

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

How do you label Xtick and Ytick marks with Currency symbols: $2000 instead of 2000? I would like to add dollar symbols to tickmarks on boxplots, histograms and back-to-back histograms. My Examples (requiring the lattice and Hmisc packages): data(case0102, package="Sleuth2") str(case0102) boxplot(Salary~Sex, case0102) histogram(~ Salary | Sex, data=case0102) require(Hmisc) #

Hello, I need some help with a 4D-Plot. Here is my code: Lab.palette <- colorRampPalette(c("blue","turquoise","green","yellow","orange","red","violet"),space = "Lab") par(las=3,omi=c(0.8,0.1,0.1,0.1)) filled.contour(x,log10(y),log10(z=daten),col=Lab.palette(27),zlim =

I am trying te set up a test lab to test my application. In my test lab I need to install Domain Controller (With Active Directory) , DNS server , IIS Server and DHCP server. I have to install each server on different test machine. for example Domain Server(Active Directory) on Machine-1 DNS server on Machine-2 IIS Server on Machine-3 DHCP Server on Machine-4 for example domain name is

Hi all, I would like to plot some points and define the bg color of my graphics. But the bg parameter set is defined for the. whole graphic. In fact, i would like to use something like : box(bg=gray(0.9)). So, the background concerns only the plot region and not the main title, the x title and the y title. The option col for the function box() concerns the contour and there is no option

On Tue, Feb 06, 2018 at 12:50:51PM -0500, Laine Stump wrote: > On 02/06/2018 10:53 AM, Pino Toscano wrote: > > On Tuesday, 6 February 2018 16:40:04 CET Daniel P. Berrangé wrote: > >> When you tell virt-builder to install extra RPMs, this potentially > >> looses the SELinux labelling that Anaconda had originally setup. Thus we > >> must tell virt-builder to

There seems no default setting for tck, causing problems for plot.times() > library(chron) > dts <- dates(c("02/27/92", "02/27/92", "01/14/92", + "02/28/92", "02/01/92")) > y<-chron(dts,out.format=c("dmy","h:m:s")) > y [1] 270292 270292 140192 280292 010292 > plot(y,1:5) Error in axis(n, at =

Dear group, I tried to generate labels for every second tick in lattice (qqmath). Version: 0.14-16 Date: 2006/12/01 R version 2.4.1 (2006-12-18) An example: library(lattice) numy=100 y=runif(numy,min=0,max=1) sig=0.05 numsig=length(which(y<sig)) tck.no=11 # number of ticks tcks=1:tck.no labl=as.character(0.1*tcks-0.1) # label for all ticks labl[seq(2,tck.no-1,2)]="" # delete

I found that par(tck=xx) was ignored and par(xaxs="s") gave an error in v0.61. I've made the following quick hacks in the code to get these to function. Please let me know if I'm setting myself up for trouble and... Thanks for R! ...Steve Oncley (oncley at ucar.edu) ------------------------------------------------------- A hack to get par(tck) to work:

On 02/06/2018 10:53 AM, Pino Toscano wrote: > On Tuesday, 6 February 2018 16:40:04 CET Daniel P. Berrangé wrote: >> When you tell virt-builder to install extra RPMs, this potentially >> looses the SELinux labelling that Anaconda had originally setup. Thus we >> must tell virt-builder to enable SELinux relabelling. >> >> Signed-off-by: Daniel P. Berrangé

Dear list, I have observed a change in the behaviour of the scales-argument tck of xyplot() after having installed R 2.4.0 (for version info see below). The help page of xyplot() says about the scales-argument tck: 'tck' numeric to control length of tick marks. Can be a vector of length 2, to control left/bottom and right/top separately. But if I issue xyplot( y ~ x, scales=

The libvirt-TCK is a integration test suite we are using to validate the correct operation of libvirt drivers. Currently it is just checking the basic operation & functionality of drivers from the host side. we just boot a random Fedora kernel + initrd since we don't actually care that the guest OS boots into any particular state, we only care that its running in some form. We would

I have tried to set parameters of an effects plot with moderate success, but I'm finding that although the plot(effect()) method uses trellis graphics (via the lattice package), not all aspects of the plot can be controlled by standard trellis graphics. I am able to set any parameters that are given in trellis.par.get() easily enough, for example: axis.components <-

Hello list! I am trying to project the fitted surface to a 3d plot of the data, similar to figures 13.7 or 6.5 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but replace the contour/map lines with "levelplot". Problem is I can't get the color regions to line up after the coordinate transformation. Is there a simple solution my geometry

In the version of R that I am running I have found two advertised features that don't appear to work correctly: Version 0.61.0 Alpha (December 21, 1997) (installed using r-base-0.61.0-2.i386.rpm) 1. mtext adj parameter is seriously offset to the right. For example: > par(oma=c(0,0,3,0)) > mtext("Try this", side=3, outer=T) # nothing is observed on x11 > mtext("Now

Hello, I try to increase the distance between tick labels and ticks in a lattice wireframe plot. Here's a minimal example: ## Minimal example x <- y <- z <- c(1,2,3) df <- data.frame(x, y, z) wireframe(z ~ x*y, df, scales = list(arrows = FALSE, col = "black", font = 1, tck=0.6)) I tried the axis.components option