similar to: adding error bars to lattice plots

Hi all, I have been previously been using scatterplot3d package to create some graphs but unfortunately it does not allow me to rotate the plot on all three axis. The cloud() function in the lattice package does allow me to do so. When I was using scatterplot3d I was using a script (Shown Below) to calculate the mean, quartiles and range limits for all three axis and I was representing that on the

If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z

Dear r-help, I need to draw xyplot() graphs with several regression lines: one line for the whole range of x (the variable on the horizontal axis) and two additional lines for subranges of x. Is it possible to make first regression line (panel.lmline(x,y,...);) to be drawn on the whole graph and regression lines of the subsets to be drawn only over their subsets? I have defined

Hi, The solution to my problem is to use 'lsegments' instead of 'segments' within lattice commands. (Although I wont forget again, a comment in the segments help file referring to 'lsegments' might help others not to make the same mistake in the future.) My thanks to Renaud Lancelot. Regards, John. John Gavin <john.gavin at ubsw.com>, Quantitative Risk Models

I'm looking for a way to plot lines on top of a levelplot(), where the lines are borders between cells of different values. The clines() function provides contours suitable for continuous data. I am dealing with discrete values, spatial clusters of nodes where each cluster has an integer value, and I want to plot the borderlines between these areas. So, in a levelplot having nodes with

Hello, I try to install my APC Back-UPS RS 800 on my debian system (Etch): Linux aigner 2.6.18-3-686 #1 SMP Mon Dec 4 16:41:14 UTC 2006 i686 GNU/Linux When i try to start the driver an i use hidups i get this failure massage: aigner:/lib/nut# upsdrvctl start Network UPS Tools - UPS driver controller 2.0.4 Network UPS Tools: HID UPS driver 0.13 (2.0.4) Warning: This is an experimental driver.

Hi, How might I use xyplot to plot segments where the segments are in the input data? (ie a directed acyclic forest). Here's an example in base graphics: n = data.frame(id = c(1,2,3,4), parent = c(0,1,2,2), value = c(5,5.5,7,3), date = c(1,2,3,3.5)) plot(n$date, n$value) do.call( segments, with( merge(n,n,by.x="parent", by.y="id"),

library(nlme) data(Phenobarb) na.include <- function(x)x phe1 <- nlme(conc~phenoModel(Subject, time, dose, lCl, lV), data = Phenobarb, fixed = lCl+lV~1, random= pdDiag(lCl+lV~1), start = c(-5,0), na.action = na.include, naPattern = ~!is.na(conc)) phe.ranef <- ranef(phe1,augFrame=TRUE) plot(phe.ranef, form=lCl~Wt+ApgarInd) [Error in max(length(x0),

Dear r-help list members, I'm experiencing problems getting type="b" (or "o" or "c") to work in llines(). Try, e.g., the following scaled-down example: x <- factor(c("a", "b", "a", "b")) y <- c(1,2,1,2) z <- factor(c("A", "A", "B", "B")) symbols <- 1:2 lines <- 1:2

Hi, we've implemented an indirect call promotion llvm pass. The design notes including examples are shown below. This pass complements the indirect call profile infrastructure http://lists.cs.uiuc.edu/pipermail/llvmdev/2015-April/084271.html Your feedback and comments will be highly appreciated. Thanks, Ivan ============================================================================RFC:

First, apologies for no example data but I don't think it's needed in this case, Q: Can (and if so how ) the line end style be changed for 'cloud' plots? I've tried par(lend=2), trellis.par.set(add.line = list(lend=2)) and much googling but to no avail Thanks in advance Dan P.S. the reason for this is that the round end looks bad at lwd=3 or more Daniel Alcock Malaria

Hi There are new versions of the grid and lattice packages on CRAN: grid 0.2 and lattice 0.3-0 These packages are still _under development_ (they are in CRAN/src/contrib/Devel) There have been some bug fixes and, especially in lattice, there are lots of new features. Descriptions of the changes are included below. If you have any grid code, it may break under the new version because of a

Hi There are new versions of the grid and lattice packages on CRAN: grid 0.2 and lattice 0.3-0 These packages are still _under development_ (they are in CRAN/src/contrib/Devel) There have been some bug fixes and, especially in lattice, there are lots of new features. Descriptions of the changes are included below. If you have any grid code, it may break under the new version because of a

Another question about lattice: Is there a way to use plotmath in the labels and strips? E.g. xyplot(y~x|group,data=test.df, panel=function(x,y,subscripts,df) { llines(x,y,col="black",lwd=2) llines(x,df[subscripts,"lowerCI"],lty=2,col="#aaaaaa") llines(x,df[subscripts,"upperCI"],lty=2,col="#aaaaaa") },

Hello, I have installed my Samba as a PDC with LDAP Backend, it worked fine, I was able to join the Domain with a Windows XP Client.But Today when i started the server, i can't join a domain anymore. I also can't add users to ldap anymore with smbldap-tools i always get this failure message: 3444 Use of uninitialized value in substitution (s///) at /usr/share/perl5/smbldap_tools.pm line

Hi, I have a data frame like this: ScoreDoseSex 2.81Dose1M 1.81Dose1M 1.22Dose1M 0.81Dose1M 0.49Dose1M 0.22Dose1M 0.00Dose1M -0.19Dose1M -0.17Dose1F -0.32Dose1F -0.46Dose1F -0.58Dose1F -0.70Dose1F -0.81Dose1F -0.91Dose1F -1.00Dose1F -1.77Dose2M -1.85Dose2M -1.93Dose2M -2.00Dose2M -2.07Dose2M -2.14Dose2M -2.20Dose2M -2.26Dose2M -2.32Dose2F -2.38Dose2F -2.17Dose2F -2.49Dose2F -2.54Dose2F

Hi, I was taken off guard by the following behavior in a lattice plot. I frequently want to add a predicted curve defined at more points than in the formula expression of xyplot. There have been numerous examples of how to do this on r-help, but I still often struggle to make this work. I just realized that specifying one of the axes on a log scale does not guarantee that the added data for a

Dear R-helpers, How do I tell panel.polygon what greoup and panel it applies to whithin xyplot(y ~ x | c, groups = g panel = function(x, y, groups, ...){ panel.polygon(x = xpol[c, g], y = ypol[c, g], default.units = 'native') panel.xYplot(x, y, groups, ...) llines(x = c(1, 6), y = c(-24.283333, 35.941667), lwd = 2, lty = 3, col = 4) } x[c, g] and y[c, g] describe

Dear lattice wizards, I am trying to figure out how to plot predicted values in xyplot, where the intercept, but not the slope, varies among conditioning factor levels. I am sure it involves the groups, but I have been unsuccessful in my search in Pinhiero and Bate, in the help files, or in the archive, or in my attempts on my own. My example follows: FACT is a factor with levels a,b,c

R folks, I can't seem to find the instructions in the help files for the lattice package that explain how to add lines, such as with lines() or ?, to a levelplot. I'd be grateful if someone could point me in the proper direction. Cheers, Jeff ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Jeff Jorgensen Center for Limnology jcjorgensen at wisc.edu