similar to: unequal bins in filled.contour

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

By any chance are there any alternatives to image(...) and filled.contour(...) I used Rseek to search for that very topic, but didn't turn over any leads... http://www.rseek.org/?cx=010923144343702598753%3Aboaz1reyxd4&newwindow=1&q=alternative+to+image+and+filled.contour&sa=Search&cof=FORID%3A11&siteurl=www.rseek.org%252F#1238 I'm sure there are some out there, but

Dear all, As a newbie in R I would like to do the following (simple?) thing: to plot a filled.contour plot over a map showing country boundaries (e.g. for Europe) What i do is: map('worldHires',xlim=c(-10,40),ylim=c(35,70),boundary = TRUE,border=0.1) map.axes() filled.contour(mslp, zlim=c(1000,1020),color.palette = colorRampPalette(c("blue", "white",

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.4.1 ESS on Emacs 21.4.1 ------------------------- Colleagues I have some spatial patterns of sardine eggs (presence /absence) over 50 years (270 surveys) and I'd like to quantify the patches and gaps to determine how many patches (i.e. spawning areas) there were before the fishery collapse (1951-1965) and during recovery (post 1985).

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

Hi all, I'm trying to use symbols() to draw a circle of a given radius at a given position onto a filled.contour() plot. The commands I issue are: > filled.contour(y,x,z,levels=seq > (0.02,1.0,len=50),color.palette=colorRampPalette(c > ("blue","yellow","red")),title=title(main="",xlab="",ylab="")) >

Hm..., Should these two versions produce the same solution? Unfortunately and shame to confess, I don't know much about the colors in R: myColors <- c("#FF7C00","#00BF40","#FFFF00") Colors=rgb2hsv(col2rgb(myColors)) apply(Colors,1,mean) h s v 0.2122974 1.0000000 0.9163399 * * * * * # Average the 1st two by taking the middle colour

By any chance is it possible to "add" filled.contour(...) to an existing plot like you can do using image(..., add = TRUE). I looked at the filed.contour(...) and levelplot(...) documentation, but it didn't seem to be possible. I would like to add filled.plot(...) as shown below instead of using the image(...). Filled.contour seems to provide the smoothing interpolation

On 16/04/2016 8:47 AM, Atte Tenkanen wrote: > Hi, > > How would you calculate the "mean colour" of several colours, for > example c("#FF7C00","#00BF40","#FFFF00")? > Bert answered your subject line question. Your text is asking something else: if those are colours, you don't want to treat each of them as a single integer. A

Hi, I want to produce two parallel rotated strips with color gradient. So far, the sample strip is something produced by this: pushViewport(viewport(x = unit(0.638, "npc"), y =unit(0.386, "npc"), width=.62, height=0.006, angle=137.2)) grid.rect(y=100:1/100, just="top", gp=gpar(col=NA, fill=colorRampPalette(c("lightgray",

I try to use ColorRamp as ColorRampPalette (i.e. with the same gradient), but it seems there is a nuance that I've missed. pal.crp<-colorRampPalette( c("blue", "white", "red"), space = "rgb") plot(rep(0,40),pch=16,col=pal.crp(40)) # is great But, using the same gradient with colorRamp is giving erratic colors. pal.cr<-colorRamp(

Hi there, I'd like to create a heatmap from my matrix with a) a defined color range (lets say from yellow to red) b) using striking colors above and below a certain threshold (above = "green", below = "blue") Example matrix (there should be a few outliers generated...) + simple levelplot without outliers marked: library(lattice) my.mat <- matrix(rnorm(800), nrow =

Hi all, I had the need to create a colorbar considering the alpha channel of the colors, but colorRamp() and colorRampPalette() ignored the alpha argument in rgb(). So I performed some minor modifs. in their codes, as to support the interpolation using the alpha channel. I guess that those simple modifications might be useful for other people, so perhaps it would be worth to add them to

Hello, I have two questions. I'd like to visualize data with a heatmap and I have the following testcase: x <- rnorm(256) nx <- x + abs(min(x)) nnx <- 255/max(nx) * nx x <- matrix(nnx, 16, 16) rownames(x) <-

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Hello, I have a few questions, regarding the smoothScatter function. I have a scatter plot with more than 500,000 data points for two samples. So, I am wanting to display the density in colors to convince people that my good correlation coefficient is not due to an "influential point effect" and plus, I also want to make my scatter plot look pretty. Anyway ... I have been able to

Hello R freaks I have the following problem: I have several image plots, that need to have the same axis. i want to specify the range from 0 to a maximum value. The problem is, that the axis then only goes to the highest value of the respective plot. E.g: this is a modified example from the help file "image.plot" z values go until 25. My maximum in plot two is set to 30, so I want the

I have the following data as input, from which I would like to make a lattice levelplot: ----------------- x y level 1 m3134 m3134 1.0000000 2 m3134 m416B 0.4189057 3 m416B m3134 0.2696508 4 m3134 mA20 0.3322170 5 mA20 m3134 0.2454191 6 m3134 mB 0.3176792 ... ----------------- I transform the levels as follows, so that

Hi, I am having trouble debugging this one. The code is attached below, but it seems to be a problem at the C-tk interface. If I run this 1 time there are no problems if I run it more than once I start to get warnings that increase in multiples of 11 everytime I run it. Here is a sample session > source("clrramp2.r") Loading required package: tcltk Loading Tcl/Tk interface ... done

Hello all, I'm very new to R and am having some trouble with the results of the interp function. I'm trying to produce a chart roughly akin to a weather map with natural looking filled contours over a large region of the south pacific. I've got a list of points and values to be mapped to those points and I use the interp function as follows: tab<-read.table("data.txt")