similar to: postscript failure manifests in plot.TukeyHSD

This may not actually be an R/Splus problem, but it started off that way ..... ===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+=== Executive summary: ================== Simulations involving extreme value distributions seem to ``work'' when the underlying distribution is exponential(1) or exponential(2) == chi-squared_2, but NOT when the underlying distribution is

To the plot experts: when creating a plot containing different lines, each with a special line type, it may happen that the result of 'postscript()' is not readable by ghostview (which may not be an R error, thus not bug report ;-). This is the case when mixing lty as 0:6 and character or even when using lty as character only. Example: postscript("test.ps") plot(1:10,

This may not be considered a bug but it is an incompatibility with S. There was a convention in S that the graphics parameter setting lwd = 0 is supposed to use the minimum possible line width on the device. It is not clear what that means on modern graphics devices but there is still code (like mine) that assumes something sensible happens with lwd = 0 It seems that R's postscript

I discovered a little problem when using the Windows NT release of R 1.0.1, and it's still there in R 1.1.0. The boiled down version is this: I want to draw the following plot and put it into a Postscript file: x <- c(1,2,3,4); y1 <- c(1,2,3,4); y2 <- c(2,2,2,2) Fred <- c(1,2) postscript(file="d:/Bob/Papers/IFM/try2.ps") plot(x,y1, type="l")

Full_Name: baptiste augui? Version: 2.10.1 RC (2009-12-06 r50690) OS: Mac OSX 10.5 Submission from: (NULL) (90.25.215.172) The following code, run with a vanilla R session, produces different visual output for the two devices, library(grid) pdf("test-pdf.pdf") grid.newpage() grid.lines(gp=gpar(lty="13", lineend = "butt")) dev.off() png("test-png.png")

Don MacQueen <macq@llnl.gov> writes: > When I run the example in R 1.6.2, and view it with gs, I get a good plot. > When I run the example in R 1.7.0, and view it with gs, I get a bad plot. > (run on the same host) > > My "bad plot" is as described by Stephen. ... > (followed by ~200000 lines of the same type, with slowly changing values) > > In the

Hi, I have a query about the maximum length of vector that can be plotted in one go in a postscript driver. Try the following code (in 1.7.0; version details below): t <- seq(from=0, to=4*pi, length=200000) y <- sin(t) postscript(file="o.ps") plot(t, y, type="l") dev.off() If I view the postscript file o.ps in "gv", it takes many seconds before eventually

Hi R users: I have de following data frame (called "Sx") Descripcion Nitratos Cont85g 72.40 Cont85g 100.50 Cont85g 138.30 Cont80g 178.33 Cont80g 79.01 Cont80g 74.16 Cont75g 23.70 Cont75g 15.80 Cont75g 16.20 Patron80g

Hi to all, Does anybody knows why this is giving an error? data(ToothGrowth) # Two-way design with options bargraph.CI(dose, len, group = supp, data = ToothGrowth, xlab = "Dose", ylab = "Growth", cex.lab = 1.5, x.leg = 1, col = "black", angle = 45, cex.names = 1.25, density = c(0,20), legend = TRUE) Error in dn.call[[1]] :

Hi, I am VERY interested in getting the xfig driver so that I can edit graphical output from R. Searching through the mail archives and reading documentation isn't helping. Is there or isn't there a working driver for this purpose. How can I get it? I tried looking at the development version of the tarballs, but I didn't find anything that looked promising in there. Also, does

Bug report, rather than R-help; This is at least since 1.0.0; didn't try even older versions .. Jim> Anon wrote: Anon> ...However, if I use Fred <- c(1,"33")... Is this a Anon> bug, or am I missing something? this made use it essentially something like par(lty = "1") Jim> This is an interesting problem. It boils down to the

Hi, I'm trying to use the solve() function in R to invert a matrix. I get the following error, "Lapack routine dgesv: system is exactly singular" However, My matrix doesn't appear to be singular. [,1] [,2] [,3] [,4] [1,] 0.99252358 0.93715047 0.7540535 0.4579895 [2,] 0.01607797 0.09616267 0.2452471 0.3088614 [3,] 0.09772828 0.58451468 1.4907090

Hi List, is sth. like the following possible: legend(x,y,c("A","B","C"), lty=list(1,"42","11")) ? Or: is there a possibility to define a solid line using the "string" mode for lty? Thanks Marcus -- +-------- ><> ------------------------------------------- | E-Mail: eger.m at gmx.de (NEW) | marcus.eger at

I am writing a function where the arguments are names of objects or variable names in a data frame. To convert the strings to the objects I am using eval(parse(text=name)): f.graph.two.vbs<-function(dataname,v1){ val<-paste(dataname,v1,sep="$") val<-eval(parse(text=val)) val } However running this returns an error:

Hi All, Does anyone know how to get contrast statements or an output similar to TukeyHSD when doing survival analysis with the coxph function? Thanks, Adriana -- View this message in context: http://r.789695.n4.nabble.com/TukeyHSD-responses-in-R-tp2530120p2530120.html Sent from the R help mailing list archive at Nabble.com.

Hello, I think that to apply the Neuman-Keuls test under R it's possible with the TukeyHSD function and I know that to do a Neuman-Keuls test I have to sort the means but I can't use the TukeyHSD function I don't understand how to do to apply this function to my data. In the R help they use the TukeyHSD function to a aov() do you think that I have to do teh same? thanks.

R Version 2.0.0 Under development (unstable) (2004-05-07) I have been wanting to use TukeyHSD for two and three way aov's, as they are especially simple for students to use correctly. I realize model simplification is usually a preferred methodology, but my disciplinary enertia and simplicity of TukeyHSD is also compelling. However, the lack of names on the comparisons for the higher order

simint and TukeyHSD work for aov objects. Can someone point me to similar functions for lme objects? Dieter Menne

Dear list I need to see the code of plot.TukeyHSD. There is no .default for it. Please help. Lize -- This e-mail and its contents are subject to the South African Medical Research Council e-mail legal notice available at http://www.mrc.ac.za/about/EmailLegalNotice.htm

Hi, What is expression IC on TukeyHSD? contrast +/- qtukey(.95, nmeans, df) * sqrt(MSe/n) ? Thanks, Bruno [[alternative HTML version deleted]]