similar to: spacing of color key in filled.contour

Dear R-helpers, I'm plotting geophysical data in the form of contours using "filled.contour". The display would be much more effective if the areas with negative values could be color coded by -- say -- "cold colors" in the range of blue to green, and conversely the areas with positive values got plotted with "warm colors", from yellow to red. Right now if I use

Is it possible to plot unevenly spaced data with image/contour function? Below is an example of the type uneven data that I'm trying to plot with image/contour functions. For example, I would like to have the x-distance on the x-axis and y-distance on the y-axis and then the temperature values determine the color used. Unfortunately this data was sampled such that it is not evenly

Hi, I want to draw a level plot. The levels are not evenly spaced, so I did something like: levels=c(0,2,5,10,30,60). I still want the color bar (key) on the right side to be evenly spaced so that the small numbers (0,2,5) are not squeezed together. Does anyone know how to do it? Thanks! Jinfeng

Here is the answer to an old question of mine, regarding maps in R Hope this help. claudia ---------- Forwarded message ---------- Date: Mon, 25 Jun 2001 13:48:05 -0400 From: Kieran Healy <kjhealy at Princeton.EDU> To: Claudia Tebaldi <tebaldi at ucar.edu> Subject: Re: [R] maps in R Hi Claudia -- you can get the maps() library from here:

Hi all Just this morning I upgraded to R 2.12.0 (for Mac OS X 10.6.4). All went well until I needed to run a help() or help.search() in my session, which I'm running within Emacs (ESS 5.3.7). Say I need help with the command 'density'. When I type help(density) or ?density the ESS help buffer opens, it is titled *help[R](density)* but it contains only a couple of lines saying,

Hi, I have matrix of sea bottom depths that I am plotting in R with the function 'image'. I am particularly interested in the 200m depth contour (I'm using 'distance from this feature' as a covariate in a model) and would like to extract the data at evenly spaced points along it. I can easily superimpose a line at 200m using the function 'contour'. What I want to

Hi all I have a dataset whose response is a categorical variable of the ordinal scale type (6 levels). I'm interested in building classification models, and I'm wondering if there is something implemented in R (or its packages) that I'm not aware of, to treat the ordinal scale measurements straightforwardly. I can think of the alternative of building a conditional (hierarchical)

Dear list members, I have been using filled.contour in order to plot EEG data. For the colors, I used a conventional ramp from blue to red (blue - green - yellow - red), and 100 color levels to make the plot looking smooth: (...) color.palette = colorRampPalette(c('blue','green', 'yellow','red'), space='rgb'), nlevels = 100 (...) My problem ist that

I am trying to create a topographic map of an island - the filled.contour function works fine except i am experiencing difficulty trying to represent the sea properly. Basically I want the default colour blue for any instance where z=0, if I simply use the default topo.color I get shades of blue for z values up to 220 metres. Is there a way in which I can specify terrain.color for all values of

Dear R colleagues, I am trying to plot some geophysical data as a filled contour on a continent map and so far the guidance from the R-help archives has been invaluable. The only bit that still eludes me is the colour key (legend) coming with filled.contour: I prefer to generate my own colour palette, mainly based on the quantiles of tenths of the data in order to capture the whole range (of

Dear R-helpers, I have lat/lon coordinates of regularly spaced grid points, about 4Km apart, covering the entire US continental region. I would like to mask this rectangular grid in order to extract all and only the grid points within a specific region. Today I want to extract Montana, say, from this grid, and I am hoping to somehow use the returned value of the function

Hello. I was wondering if it is possible to put the color bar (key) on the bottom of the graph, like the "horizontal" toggle in image.plot, rather than on the right side. Does anyone know if this is possible? --jenny

Hello I have several replicates (30) of a -- short -- time series (19 obs) and I'd like to estimate the first few lags autocorrelation function. Is there an immediate way of handling multiple realizations when computing the ACF in R? I'm using R-1.4.1 on a Linux Debian box. Thanks in advance claudia ------------------------------------------------------------------------- claudia

There is probably an elegant and efficient way to do this -- perhaps already implemented, and some of you knows it. Myself, I'm getting stuck in long loops ... Here is the question: I have a long (80,000 + obs) binary time series. For each of its elements I'd like to compute and save in a vector "the number of steps 'til the first switch of state happens". For example,

Hi, I am plotting values of log(hazards ratio) as a function of two predictors, using the plotting function filled.contour(). Here is a simple simulated example of this: x <- seq(0,1, length=20) y <- seq(0,1, length=20) z <- outer(x,y, function(x,y) x^2 + y^2 ) zmat <- matrix( rexp(n=400, rate = z+0.001), 20, 20) filled.contour(x, y, log(zmat),

I'm running R-1.4.1 on a linux debian (version 2.2) box. I've tried to upgrade to R-1.6.0, and the execution of make halts with the following error messages: make[4]: Entering directory `/home/tebaldi/R/R-1.6.0/src/library/methods' dumping R code in package 'methods' Error in testRversion(descfile) : This package has not been installed properly See the Note in ?library

Dear expeRts, I would like to color a certain region in a levelplot. The region for z <= 0.02 should have a dark gray color. Below is a minimal example. It almost does what I want, but The region between z=0.02 and z=1 is also colored in dark gray (instead of just the region for z <= 0.02). How can I solve this? Cheers, Marius ## z values for given x and y f <- function(x)

Hi. I'm a big user of level plots. Because filled.contour() didn't do exactly what I wanted, I hacked at it a bit to add these options: (*) Even spacing in the key, even if the contours are not evenly spaced. (*) Horizontal key (*) options to not use layout() and to plot only the level plot _or_ only the key. This means you can use layout yourself to (e.g.) have several

To everyone, Is there a way to extract coordinates or an equation from a "straight" contour line? Thanks. Cheers Julius Tesoro

Hi all, Does anybody know how to add contour lines to a filled contour plot? I want to draw a single contour around values that are above a certain level (e.g., significant). The problem I'm having is that since the filled.contour command actually draws two plots (data and the key), adding contour lines paints them over both plots. Any suggestions? Thanks, Andy #~~~~~~~~~~~~~~~~~~~