similar to: ggplot2 date help (minor gridlines months and major grid lines years in a readable format)

library(ggplot2) melt.updn <- (structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

melt.updn <- structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

library(ggplot2) melt.updn <- (structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

updn.gg <- (structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), unrestored = c(1.13789418691602, 0.704948049842955, 0.276777348238899, 0.417586861554189, 0.504870337754768, 0.673201771716216, 0.560704221510771, 0.835737007551542, 1.10773858390693, 0.197070828834836, 0.942350681588179,

library(zoo) d<-(structure(c(1.39981554315924, 0.89196314359498, 0.407816250252697, 0.823496839063978, 1.14429021220358, 1.23971035967413, 0.960868900583432, 0.927685306209829, 1.22072345292821, 0.249842897450642, 1.00879641624694, 0.925372139878243, 0.317259909172362, 0.382677149697482), index = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996,

I have been using lattice xyplot and am quite pleased, and I can use the type=c("b","g") to have it print gridlines into the page, yet if I want to have a line plot with points on it, how do I get the xYplot to print gridlines (I use Hmisc xYplot because of its bands method which allows plotting of confidence intervals). Any suggestions? I have looked at the panel functions but

Greetings. How can I insert gridlines in the following density plot call? Must one compose a panel function? 'data.frame': 46 obs. of 2 variables: $ fallrates: num 5.2 7.1 7.1 9.8 3.7 7.5 5 6.2 1.5 2.9 ... $ prepost : Factor w/ 2 levels "post","pre": 2 2 2 2 2 2 2 2 2 2 ... library(lattice) densityplot(~fallrates, groups = prepost,

Thank you for providing advice on this graphics question. I am building an interaction.plot. d=data.frame(xx=c(3,3,2,2,1,1),yy=c(4,3,4,3,4,3),zz=c(5.1,4.2,4.4,3.5,3.3,-1.1,-1.3) d[[1]]<-as.factor(d[[1]]) d[[2]]<-as.factor(d[[2]]) print(d) interaction.plot(d$xx, d$yy, d$zz, type="b", col=c("red","blue"), legend=F, lty=c(1,2), lwd=2, pch=c(18,24),

In the example R script below, horizontal gray gridlines are drawn at y coordinates where the points are drawn with the code: panel.abline(h=y, v=xScale, col.line="gray") How do I change this so that the horizontal gray gridlines are drawn at y coordinates where the y labels are drawn? The challenge is that each panel has different y-ranges (in my real example the y-ranges and

Hello! I promise I looked into help files before asking. Still cannot figure it out. I think it's because I am totally confused what packages use lettice, which use trellis, etc. Sections 1 and 2 below produce the data and the data to plot. My question is about barplot in Section 3. I am trying to: 1. add only horizontal gridlines and manipulate the type and color of that line. tck = 1 is not

Hi r-users, I want to use the sn package but I got the following message: > install.packages(repos=NULL,pkgs="c:\\Tinn-R\\sn_0.4-12.zip") Warning: package 'sn' is in use and will not be installed updating HTML package descriptions I did tried to do it a few times but it gives the same message.  ________________________________ From:

dear all, I have a very simple question but I could not figure out. I need to make plots with grid in the background. something like I old retrive like this a=runif(100)*10 b=runif(100)*10 plot(a,b, pch=20, xlim=c(0, round(max(a))), ylim=c(0, round(max(b)))) vs=seq(0, max(a), 0.5) for(i in 1:length(vs)){ abline(v=vs[i], col="lightgrey") } hs=seq(0, max(b), 0.5) for(i in

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Hi, Whats the easiest way to set a desired interval for tics on axes in R ? And will the 'grid' command put gridlines on all tics automatically ? I tend to get stuck with graphs with ranges 0-1 with only 2 tics and 2 gridlines in the 0-1 range, while I would like 10 tics (or every 0.1) tnx, Piet please reply to pvremortNOSPAM at vub.ac.be

To: silwood-r Subject: Removing lattice graph gridlines and editing label box colour Hi, Is it possible to remove the background gridlines from a lattice graph (ie graph made up of multiple individual graphs with annoying blue grid in the backgroun)? Also, Is it possible to change the colour of the individual graph label boxes? - ie the default pink boxes above the individual graphs Thanks

I am using wireframe from the lattice package, with the shade option set to TRUE. When I output to PDF or Postscript, a line gets drawn around each polygon of my surface which causes ugly Moir? effects and doesn't make sense in my application (think the plot of Maunga Whau--gridlines don't make sense). This does not happen when I display on the screen-- then I just get the surface as

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

I've used to have a script with a barplot command it in, preceded by a png: png(graph.file,height=H,width=W) barplot(t,names.arg=breaks[2:(length(t)+1)],tck=gridlines) -- worked before R 2.6.2. When I tried it in R 2.6.2, which I have for a while but didn't run with that script, it complained, the margins too large, and I've googled the messages from our list where neither

Hi all, I'm attempting to make a quite-specific plot where the axes cross at the origin and with gridlines for guidance. I've been using ablines to create the reference lines because I want a lot of control as to where they are placed on the axis. This command works very well for such control. However... These ablines don't seem to work when I specify the origin as 0,0. They go

Hello, I'm just getting in to R, been reading manuals (thanks to all who provided pointers to good docs!), and messing with different commands. I'd appreciate a little help with this exploration, and I hope that my question is relatively easy to answer (probably, there's a simple way to do what I'm working toward). R's statistical functions are coming along easily enough,