similar to: number of ticks in a persp() plot

The Blue Book allows the 'type' argument to be used in matpoints and matlines. matlines(x, y, type="l", lty=1:5, pch=, col=1:4) R-1.0.0 does not. Thus, type="h", "b", must be invoked thru matplot( x, y, type = "h", add=TRUE) For the sake of consistency with S, it would be nice to have matlines defined as: "matlines" <-

Based on reading 'rgb' documentation, I would have thought the following would have produced identical results. Can someone explain how to make this happen? I need to be able to specify an array of rgb values for the 'col' parameter. colnames.col <- c("black", "red", "blue", "green") colnames.rgb <- apply(as.matrix(colnames.col), 1,

I am having some trouble getting the persp() package to change the x and y axis on a 3d plot. It defaults to the [0,1] interval and when I try to change it I get errors. Example: This works: ------------ D <- c(1,2,3,4,5,6,7,8,9,10) M <- c(11,12,13,14,15,16,17,18,19,20) DM <- cbind(D,M) persp(DM, theta = 40, phi = 30, expand = 0.5, col = "lightblue", ltheta = 120,

Dear R-users, I'd like to plot a three-dimensional surface and at the meantime I'm using an array. I would like to have the values of my first matrix in the heights of the plot and the colors of the single facet taking into account the second matrix. I hope that the next code will help all of you to understand better my issue, Thanks in advance, Giancarlo ############################ ##

Hi All, I'm using 'tck' option to *reduce* the length of tick marks but it is not working, can anyone please tell me where I'm going wrong... require(graphics) require(grDevices) x <- seq(-10, 10, length= 30) y <- x f <- function(x,y) { r <- sqrt(x^2+y^2); 10 * sin(r)/r } z <- outer(x, y, f) z[is.na(z)] <- 1 # 'bg' works but 'tck' is not showing

I'm using (Linux version) xfig() within a function and then simple matplot() and matline() plots. Although I do not define any bg or fg default color, sometimes all lines in the final fig file are green. The same code works as (I) expected if I use x11() or pdf(). This is what I'm doing: I open 2 devs: xfig() dev.set(2) layout(mat1) xfig() dev.set(3)

Hi folks, I'm experiencing some hassle to add some text on a persp plot... Here is the code to generate the persp plot: x <- seq(-1.95, 1.95, length = 30) y <- seq(-1.95, 1.95, length = 30) z <- outer(x, y, function(a,b) a*b^2) persp(x, y, z,xlim=c(-2,2),ylim=c(-2,2),zlim=c(-8,8), phi=30, theta=-30,nticks=8,ticktype="detailed") I've tried the text() function :

Dear R-Users, I created the xyplot below using 10 groups (9 groups + 'Total' of all groups) with lty=1:10. I need the 'Total' to be a bold solid line (lty=1) where as the 9 groups just need to be distinguishable from each other. As you can probably see, when the group reaches CRA6 the lty starts from 1 again. I have tried to specify ten unique lines using lty=

Thank you for your replies so far. Sorry for bothering you again, but I'm still not able to get what I need as I don't understand all parts of the replies (just using R for easy things....). Is there a code for plane3d() like some of you sent me for points3d()? I was not able to get that out of the scatterplot3d package... What I can do is to get the x,y and z-range for the xlim,ylim and

Dear All, When I plot the values and linear regression line for one data set, it is fine. But for another one I see zigzags, when I plot the confidence interval >cd Depth CHAOsep12RNA 9,94 804 25,06 1476,833333 40,04 1540,561404 50,11 1575,166667 52,46 349,222222 54,92 1941,5 57,29 1053,507042 60,11 1535,1 70,04 2244,963303 79,97 1954,507042 100,31 2679,140625 >

Full_Name: Ramin Nakisa Version: 1.1.0 OS: i386 linux Submission from: (NULL) (192.127.94.7) Labels created with expression seem to disappear, e.g. the x axis label in x <- -6:16 contour(outer(x, x), method = "edge", vfont = c("sans serif", "plain"), xlab=expression(theta[0]), ylab=expression(theta[1])) and all three labels in x <- -6:16 persp(outer(x, x),

Dear all; Does anyone know how to add grid lines to a persp plot? I've tried using lines(trans3d..) but the lines of course are superimposed into the actual 3d surface and what I need is something like the plot shown in the following link: http://thermal.gg.utah.edu/tutorials/matlab/matlab_tutorial.html I'll appreciate any ideas Thanks PM

Hello R-Help, I've got a bit of an issue with WMF's. I am working on WindowsXP and outputting WMF format images. I then take the WMF format images and insert them in PowerPoint. I take the PowerPoint and convert it to PDF. The WMFs are nothing special. Just the typical x-y plot with a gray dotted grid added and a few matlines. The WMFs, when produced look great! They show

Dear R help, This seems to be a commonly asked question and I am able to run examples that have been proposed, but I can't seems to get this to work with my own data. Reproducible code is below. Thank you in advance for any help you can provide. The main problem is that I can not get the confidence lines to plot correctly. The secondary problem is that predict is not able to find my object

Dear All, I am very new to R projects.May be i am wrong in some steps.I have given the code which i tried for drawing 3d surface using persp.I need to label the axes with scales z <- array(topnew2$V2, dim=c(600,2)) x <- 10 * (1:nrow(z)) y <- (1:ncol(z)) persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue", xlab ="fluidlevel", ylab

Dear R-users, is it possible to add a second plane to the persp()-plot? I couldn't find any hint on that in the news archive... I'm using R.1.4.1 for Windows. Thanks in advance, Nina -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear R-users, is it possible to add a second plane to the persp()-plot? I couldn't find any hint on that in the news archive... I'm using R.1.4.1 for Windows. Thanks in advance, Nina -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hi I had to use a glm instead of my basic lm on some data due to unconstant variance. now, when I plot the model over the data, how can I easily get the 95% confidence interval that sormally coming from: > yv <- predict(modelVar,list(aveLength=xv),int="c") > matlines(xv,yv,lty=c(1,2,2)) There is no "interval" argument to pass to the

I have a set of data in the form x1, y1, z1 x1, y2, z2 ... x1, yN, zN x2, y1, z(N+1) x2, y2, z(N+2) ... x2, yN, z(2N) ...and so on... xM, yN, val(M*N) I have been trying to figure out how to get R to use this data in a persp plot. So far the only thing that I can figure out to do is to break the data file into three different files. The first file contains the x-coordinate data: x1 x2

Dear R-Users, I created the xyplot below using 10 groups (9 groups + 'Total' of all groups) with lty=1:10. I need the 'Total' to be a bold solid line (lty=1) where as the 9 groups just need to be distinguishable from each other. As you can probably see, when the group reaches CRA6 the lty starts from 1 again. I have tried to specify ten unique lines using lty=