similar to: Bug: persp and colors (PR#1476)

Dear R users, Could somebody tell me why the grey color ramp is repeated in this graph, eventhough the ramp values go from 0 to 1? I must be missing something obvious, but I can not see it! z <- c(0.064329041,0.117243316,0.161565116,0.19923015,0.231642175,0.259835539,0.284571226, 0.038507288,0.094184749,0.140959431,0.180803984,0.215159105,0.245096084,0.271412845,

Dear All, I have been trying to to do this for a few days now. I can generate persp plot OK and can generate it in colour using the command persp(x,y,z,col=terrain.colors(20)) However, I was wondering if it is possible to shade the 3d surface like a contour plot. i.e. black for large z, white for small z, say Thanks in advance Colin

Dear R Community: Recently, I have managed to plot some really useful graphs of my research data using persp(). I have even figured out how to overplot rectangular regions (corresponding to submatrices) with a different color. This is accomplished by using par(new=T). I am now searching for a way to "highlight" a set of (possibly non-contiguous) facets with a specific color,

Dear R experts! I use image() & persp() functions for color plotting z(x,y)-type graphics. In image() colors correspond to z-values, that's what I want. OTOH, in persp() the col option means: col: the color(s) of the surface facets. Transparent colours are ignored. This is recycled to the (nx-1)(ny-1) facets. but I'd like to persp()' colors behave like in

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 ############################ ##

This is no doubt trivial but after searching the help files and the web, I cannot seem to find it. 1) How do I convert 'hgt' into 'HGT' in R? 2) How should I have used the help facilities to find this? At the end of the day, all I want to do is case insensitive string matching... i.e. 'if ("HGT" == 'hgt') print('this should be true')' I tried

Hello, I'd like to produce a ggplot where the order of factors within facets is based on the average of another variable. Here's a reproducible example. My problem is that the factors are ordered similarly in both facets. I would like to have, within each facet of `f1', boxplots for 'x' within each factor `f2', where the boxplots are ordered based on the average of x

Hi, new to R and ggplot2. I've been trying to get a facet plot in which the order of the facets is as I require, rather than ordered numerically, alphabetically, by Roman numerals, mean (answers to these were posted here after much searching). Here's some test code to demonstrate what I get. series = c('C2','C4','C8','C10','C15','C20') ids =

Hi, *Warning: R newb here. * I've got a 3D scatterplot ( http://www.fleetwoodswoodworks.com/scatterPlot.jpg) which I want to drape in color, with the draped plane corresponding to the mean z values on the plot (similar to: http://www.fleetwoodswoodworks.com/draped3Dscatterplot.jpg). Does anyone know what package will allow me to do this? I used * scatterplot3d()* for my first plot. I've

> From: Bill Simpson <wsimpson at uwinnipeg.ca> > Subject: Re: contour labelling [was "Re: [R] image ()"] > MIME-Version: 1.0 > > > We may be missing the crux here: was it to have a means of > > displaying such surfaces? > > Yes, bang on. I knew of the > existence of the Delaunay code in the R libraries. Yes I want > to make a picture that

Faceting in ggplot2 seems to permit different scales for different facets, but I fail to see how one could control ylim and xlim ranges for each facet separately. For instance, I would like to set the ylim = c(0,10) for facet "A" and ylim = c(42,102) for facet "B". Since the data is out of these ranges, setting facet_grid(factor ~ ., scales = "free_y") does not

Given the following ApplicationController specs: describe ApplicationController, "one facet", :shared => true do it ''foo'' ... it ''bar'' ... end describe ApplicationController, "some other facet", :shared => true do it ''abc'' ... it ''xyz'' ... end describe

Hi guys, After all the discussion yesterday about persp and color, I decided to have a more closer look at demo(persp), and decided to write a function to generate 'topo-like' colours to plot perspectives (Thanks a lot to Uwe Ligges for his enlightning comments regarding the code in the demo). Here it goes, I believe that this function will be pretty useful to a lot of people:

Ross posted this code: persp(x, y, z, col = cm.colors(10)[floor(9 * hgt + 1)], theta = 35) I hadn't seen the cm.colors function before; it's very nice! I wanted to modify it a bit to allow the start and end colors as well as the max saturation to be specified, and I think I may have turned up a bug in the hsv() function. Here's the evidence of the bug: Look at the results of

Hi, I've been involved in developing a fairly complex site at http://tilt.ft.com recently, and have acquired an unhealthy interest in faceting. I couldn't find any good non-academic guides to faceting strategy on the web, so I thought I'd have a stab at writing one. I'm not completely happy with it, but it's been sitting in my drafts for long enough that I thought it

Hi R-helpers! Here is my problem: I have a graph with 3 different facets where there are 3 different regression line. My goal is to mention separately in each facet each equation that describes my lines. So far, I managed to add a line and the same equation to all my facets but that's not unfortunately what I want. Is there a way to do that? Any suggestion would be gladly welcome! Thanks

Hi all I am analyzing a data set containing information about the behaviour of marine molluscs on a vertical wall. Since I have replicate observations on the same individuals I was thinking to use the geepack library. The data are organised in a dataframe with the following variables Date = date of sampling, Size = dimensions (mm) Activity duration of activity (min) Water = duration of

Hi, I've run into a difficulty with qplot function (in the ggplot2 package). I can facet histograms even when the faceting variable contains missing values, but only so long as the faceting variable is not a factor. Example: y1 <- rnorm(10) x1 <- c(rep(1,5), rep(2,4), NA) x2 <- factor(c(rep(1,5), rep(2,4), NA)) library(ggplot2) qplot(y1, geom = "histogram", facets =

Hi everyone (again), before you all start screaming that the reordering of factors has been discusse on several threads and is not particular to ggplot2, hear me out. I can easily reorder my x-axis factor in facet.grid() in ggplot2. What I cannot reorder are the factors represented on the strips. I can see that the graphs are changing, so I am afraid of what it is I am doing. Why is ggplot2

Hi all, I analysed my data with lme and after that I spent a lot of time for mean separation of treatments (post hoc). But still I couldn’t make through it. This is my data set and R scripts I tried. replication fertilizer variety plot height 1 level1 var1 1504 52 1 level1 var3 1506 59 1 level1 var4 1509 54 1 level1 var2 1510 48 2 level1 var1 2604 47 2 level1 var4 2606 51 2 level1 var3