similar to: Creating a vector of colours that are as different from one another as possible

Hi! I am new to R just 3 days in it and i apologize if my questions seem very trivial and consumed your valuable time. I am coding in perl and i stumbled upon R regarding plotting good statistical graphs. I tried the kmean clustering for a large matrix ,say > 150 * 150 . I tried the example code given in the tutorial to perform 2d plot # i ranges from 2 to 10 cl <- kmeans(x, i, 20)

Dear all, This seems like a simple problem but i've searched the help files and tried various options but failed, so apologies in advance for asking what i'm sure is an easy thing to do! In short, I have displayed behavioural data using the TraMineR package such that there is a colour change between the transition of behaviours, however, all the methods that i have used thus far have

R2.7.1, WinXP Hi, I have a polygon inside a circle as follows: radius <- 3 x <- seq(-radius,radius,length=2000) y <- sqrt(radius^2-x^2) xx <- c(x,-x) yy <- c(y,-y) plot(xx,yy, xlim=c(-radius,radius),ylim=c(-radius,radius), type="l", ylab="", xlab="", axes=F) radius <- 2.7 x1 <- seq(-radius,radius,length=2000) y1 <- sqrt(radius^2-x1^2)

Hi, I would have expected that I get always 3 colors as result which is not true: hcl.colors(3, alpha=c(0, 0.5, 1)) # 3 colors rainbow(3, alpha=c(0, 0.5, 1)) # 3 colors heat.colors(3, alpha=c(0, 0.5, 1)) # 3 colors terrain.colors(3, alpha=c(0, 0.5, 1)) # 6 colors cm.colors(3, alpha=c(0, 0.5, 1)) # 6 colors topo.colors(3, alpha=c(0, 0.5, 1)) # 9 colors R-Version and

Hi I'm seeing some "odd" behaviour with cbind(). My code is: > cat <- read.table("cogs_category.txt", sep="\t", header=TRUE, quote=NULL, colClasses="character") > colnames(cat) [1] "Code" "Description" > is.factor(cat$Code) [1] FALSE > is.factor(cat$Description) [1] FALSE > is.factor(rainbow(nrow(cat))) [1]

Anyone who is interested in using optimal colour palettes should look at the work of Cindy Brewer: www.colorbrewer.org I have written code to use her colour schemes in R. It is included below. Perhaps someone may find this interesting enough to work into a package. Included also is a function showpalette, which was posted here a while back. I don't remember who wrote it. I have copied all

Hello I'm using rainbow function to generate 10 colors for the plot and it is difficult to tell the neighboring colors from each other. How can I make the colors more differently. Thanks Zhaoming [[alternative HTML version deleted]]

Hey everyone, I am new to R, and I'm making a scatter plot graph where i have a bunch of plots/points that fall into 9 unique categories. I want each category to have a unique colour, however, with the coding I have (below), the colour black is repeated for two of my plot types. Does anyone know a quick way to get 9 unique colours?? Coding: plotba = plot (predictedba ~ actualba,

Hello, I'm trying plot points in an NMDS according to a factor with two levels: fig<-ordiplot(canod.sol, type="none",cex.axis=0.9,cex.lab=0.1,pty="m",tck=-0.01) ordisymbol(fig, y = hab, factor = "habitat", rainbow = T,col = env, legend = F) This gets me part of the way - It produces a plot with blue triangles for the first factor level and red circles

Hi R folk I have a distance time graph for a locomotive and at various times different events occur on board the loco. I want to put a vertical line on the speed time graph for each event, but I want to colour each different kind of event differently to see visually whether there's any pattern to these events happening. I could just create a vector of colours and use abline which is easy

Hi all, I have a 16 bit image (TIFF) and i want to analyse the pixels distribution. So, i obtain a matrix which values are between 0 and 2^16 -1. Now i would like to represnt this image with the fucntions rgb() and image(). I am not sure , but i think that only 256 colors are available. So is there a solution to represent all the palette of the colors or i have to limit the representations with

I've tried looking at ?colors and ?palette and if I'm understanding it correctly, I'm supposed to type in (for example) palette(rainbow(13)) before I type in my plot (of 13 lines) if I want 13 different colors. But this does not work. Other things that i have tried besides rainbow give me errors. Am I just doing something completely wrong? Anna

Dear all, I would like to produce a map with information about the patenting activity in German districts, by coloring districts with different degrees of patenting activity in different colors. I work with the packages maptools, maps and spdep. The map data is read from an external .shp file (+ the corresponding .shx and .dbf files). Plotting a map with the IDs or the patenting indicator itself

Does: rainbow(3)[1] rainbow(3)[2] rainbow(3)[3] ... solve your issue? B. > On Jun 8, 2017, at 8:20 AM, WRAY NICHOLAS <nicholas.wray at ntlworld.com> wrote: > > Hi R folk I have a distance time graph for a locomotive and at various times > different events occur on board the loco. I want to put a vertical line on the > speed time graph for each event, but I

I have a diagram to be included in latex, where all my figures are .eps graphics (so pdflatex is not an option) and I want to achieve something like the following: three concentric filled circles varying in lightness or saturation. It is easiest to do this using transparency, but in my test using the postscript driver, the transparent color fills do not appear. Is it correct that postscript()

Hello to all, I still have this doubt. I'd like to colour the different labels of my dendrogram each one with a different colour. How can I do? I guess I could do using *edgetext* and then *t.col* or* lab.col* but I don't know how to add edgetext to my dendrogram. Can you help me please? Example: require(graphics); require(utils) hc <- hclust(dist(USArrests), "ave") (dend1

Hi, I have an array of 2d node locations and an array triangles, and would like to plot something like a image or persp. An example of doing it with rgl is: library(ncdf) library(rgl) # wget http://www.maplepark.com/~drf5n/extras/teapot.nc teapot<-open.ncdf("teapot.nc") z<-get.var.ncdf(teapot,"tris") l<-get.var.ncdf(teapot,"locations")

Hi all, I need a little help for construct an state's map on R. The first problem is to get the data. I have a datafile of longitude and latitude in the follow format: trajectory latitude longtude T -22.045618 -51.287056 T -22.067078 -51.265888 T -22.067039 -51.207249 T -22.059690 -48.089695 T -22.075529 -48.074608 T -22.072460 -48.044472 T -22.062767 -48.298473 T -22.077349

Is there a way to increase the "sensitivity" of the color palette in order to more clearly represent certain sections of data? For example I am wanting to clearly differentiate between height data for a rolling landscape but because of the extremes of the dataset (sea and mountain tops), the bulk of the landscape is shaded in closely approximating green - i have attempted to do this by

Dear list members I'm currently working on some topographic (elevation) data, and was somewhat surprised that the 'topo.colors' and 'terrain.colors' are of little to no use here. The problem is that these functions only return a palette of colours; they don't map depth values to colours. So if I plot (using 'image', 'persp' or similar functions) and