similar to: customizing color key with plot3D

Karline, Thank you for your help. I discovered that in addition to including clim, I needed to omit breaks. This code uses one of your other examples as a starting point and works as intended: persp3D(z = volcano, zlim = c(-60, 200), phi = 20, colkey = list(length = 0.2, width = 0.4, shift = 0.15, cex.axis = 0.8, cex.clab = 0.85), lighting = TRUE, lphi = 90, clab =

Hi, I want to use a discrete color ramp with plot3D, and show NA values as white (default). I get unexpected results per the following. # as in help(slice3D) example: par(mfrow = c(2,2)) x <- y <- z <- seq(-1, 1, by = 0.1) grid <- mesh(x, y, z) colvar <- with(grid, x*exp(-x^2 - y^2 - z^2)) slice3D (x, y, z, colvar = colvar, theta = 60) # # use three discrete classes and colors

Hola, Deseo dibujar en tres dimensiones la siguiente función z= min( 1 - abs(x-0.7), 1 - abs(y-0.2)) en este dominio 0<= x <= y <=1 En el ejemplo que hay abajo, se dibuja para 0<=x<=1, 0<=y<=1. ¿Me pueden ofrecer alguna ayudita para dibujarla en el recinto 0<= x <= y <=1 ? Y si además me indican cómo dibujar las proyecciones (curvas de nivel) en los planos XY, YZ y

Hi, I'm trying to make sense of the image3d plots in misc3d. Unfortunately I can't find any authors on the help pages of the function to e-mail directly. In the following toy example, I'm puzzled as to why (1) the positions of the image plot on the axes include negative values when I think I've specified all to be 1:3 and (2) the logic that needs to be adhered to in order to

As the subject says, here is example code (with comments) showing the problem: p1 <- function(lab = c(8,12,7)) { ## This `fails' (on a virgin device) clab <- paste(lab,collapse=",") plot(1,1, xlim = c(0,15), ylim = c(-.8,1), type ="n", axes = FALSE, main=paste("plot(*,axes=F); par(lab= c(",clab,")); axis(*) x

Applying the following patches closes the following task (part 1 was already taken care of). TASK: New Problems STATUS: Open FROM: <Kurt.Hornik@ci.tuwien.ac.at> New minor remarks: * The documentation for `image' still has the old order z, x, y. * Perhaps one should add `par(ask = T)' in the image demo? * Perhaps one should save the original value

Hi, Is there a way to plot trendline with quantmod package? There is addLines function in the package but I can't seem to figure out how to use it (not well documented): > args(addLines) function (x, h, v, on = 1, overlay = TRUE, col = "blue") NULL so arguments "h" and "v" add horizontal and vertical lines. How does argument "x" work? I would like

Hi, I am Using R.2.9.2 and I am trying to make nicer some graphics, which are constructed with plotmer.fnc. In particular, I have two questions: 1. Is is a way to decide in which order we want the labels on the x-axis. For now, the reference value label is the first one, and the other labels appear in the alphabetical order. I would like them to be sorted in the ascending way. Here is my

Hi R-help community, Can anyone tell me why, while using : x <- seq(as.Date("2001-01-01"),as.Date("2001-01-01") + nrow(volcano)-1,1) y <- seq(1, ncol(volcano),1) when I plot the volcano matrix with that command : filled.contour(x,y,volcano) the graph has a Date format on X-axis, ok ... ... but when adding a contour plot to the filled contour, using this

Do you know what steps I need to take to add a scale to a plot? I'm pulling my example out of "An Introduction to R: Software for StatisticalModelling & Computing" (see the R code around Figure 76). I would like to add a scale to the image produced by the following code.? I would like to the scale to list the distance?and units:? data(volcano) x <- 10*(1:nrow(volcano)) y

Dear All, I was looking for the color index in?image function,?such as from topo.colors(n) and etc. but still never found it. For instance, from the help menu. ########################################### # Volcano data visualized as matrix. Need to transpose and flip # matrix horizontally. image(t(volcano)[ncol(volcano):1,]) # A prettier display of the volcano x <- 10*(1:nrow(volcano)) y

Hi list, I wonder if anyone has had this experience with squishplot() in the TeachingDemos package. Taking the example from the ?image help page, library(TeachingDemos) x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) layout(matrix(c(1,2,3,4),ncol=2,byrow=TRUE),height=c(2,1)) ## 1st plot op <- squishplot(range(x),range(y),1) image(x, y, volcano, col = terrain.colors(100)) par(op)

Is there a way to make a shading interpolation on an image plot? Something similar to matlab 'shading interp', I think it is called Gouraud shading. What I want is to make a image plot look nicer. with image() it looks very facetted, and I would like to make it look smoother. I've tried with interp.surface() in fields package but it (obviously) makes nan values at the borders and

Hello, I would like to suggest the following change to image.default in src\library\graphics\R\image.R: 98c98 < plot(NA, NA, xlim = xlim, ylim = ylim, type = "n", xaxs = xaxs, --- > plot(x[1], y[1], xlim = xlim, ylim = ylim, type = "n", xaxs = xaxs, This provides all the support of axis.POSIXt that plot.default gives, currently the default new plot in

Hi! Whenever I save a graphic in ps/eps format generated by filled.contour or image, an undesired grid is added to it (not visible on the X11 screen). For example: postscript("volcano.eps") filled.contour(volcano,col=gray(seq(0,1,,50)),levels=seq(min(volcano),max(volcano),,50)) dev.off() Any ideia how to eliminate this grid? Thanks, Rachel [[alternative HTML version deleted]]

Hi, I wish to use R (version 2.13.1)?from within Matlab(ver R2009a) on windows XP plaform (on both 64 bit and 32 bit OS) . For this I have installed StatConnector (http://rcom.univie.ac.at/download/current/statconnDCOM.latest.exe) for calling R from within Matlab (R2009a) on Windows XP platform. I have added all the files of MATLAB_RLINK folder (downloaded from

The line contour(volcano, x, y, l, col = "yellow", lty = "solid", add = TRUE) needs to be changed to contour(x, y, volcano, col = "yellow", lty = "solid", add = TRUE) A patch is appended below. -k *** demos/graphics/graphics.orig Thu Apr 17 11:02:39 1997 --- demos/graphics/graphics Thu Apr 17 11:03:08 1997 *************** plot(numeric(0), numeric(0),

Por favor ver comentario con las las letras mayúsculas data("CPS1985", package = "AER") cps <- CPS1985 cps [1:10,] dim( cps) names( cps) library("quantreg") #regresion usual cps_lm <- lm(log(wage) ~ experience + I(experience^2) + + education, data = cps) #regresion por quantiles, tau son los cuantiles

Dear list members, I want to draw surfaces of Dirichlet distributions with different parameter settings. My code is the following: #<begin code> a1 <- a2 <- a3 <- 2 #a2 <- .5 #a3 <- .5 x1 <- x2 <- seq(0.01, .99, by=.01) f <- function(x1, x2){ term1 <- gamma(a1+a2+a3)/(gamma(a1)*gamma(a2)*gamma(a3)) term2 <- x1^(a1-1)*x2^(a2-1)*(1-x1-x2)^(a3-1)

I've noticed a few minor annoyances/mismatches with S in image(). First, if you give it just a matrix argument (image(z)), it complains rather than (as S does) using default x and y. This patch fixes it to work (mostly) like S (although in keeping with what was in R already the default x,y coordinates are ((0,1),(0,1)) rather than (1:nrow,1:ncol)). 5,16d4 < if(is.list(x)) {