similar to: Own Color Palette

Dear useRs, I got stuck trying to generate a palette of topographic colors that would satisfy these two requirements: - the pallete must be 'anchored' at 0 (just like on a map), with light blue/lawn green corresponding to data values close to 0 (dark blue to light blue for negative values, green-yellow-brown for positive values) - the brown must get darker for higher positive

I'm working on some heatmaps, and the person I'm working with would prefer a red-black-green color palette (red denoting gene induction and green denoting gene repression). Does such a palette exist already? If not, is there an easy way to create one? Thanks, Jake

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)

Hello everybody, I'm trying to create my own color palette on R, in order to interpolate some different temperature data on different maps (daily means, seasonal means,...). I would like to create a color palette which works for each map, so I need a color palette between -40 and +40?C. Sometimes my data for one map range from -10 to +20, sometimes from 10 to 30, etc... but always between

Dear List, Is there a color palette avaliable similar to what is used in satellite ocean color imagery? I.e. a gradient with blue on one end and red on the other, with yellow in the middle? I have tried topo.colors(n) but that comes out more yellow on the end. I am looking for something similar to what is found on the CoastWatch web page:

I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Thanks, Andrew

Hi, I have a matrix with both positive and negative numbers, I would like to use image() to draw a heatmap. How can I can design a palette (or is there a function already available) that treat negative numbers in a blue gradient and positive numbers in a red gradient and treat 0 as white? Thanks

Hi All, I am looking for a color palette like this: http://www.ncl.ucar.edu/Applications/Images/h_long_5_lg.png I think I found out how some time ago (something like Colors[1:n]), but when I now wanna use it, I could not remember how I did it. Does anyone know which package I could use? Many thanks! Linda [[alternative HTML version deleted]]

Hi All, I am looking for a color palette like this: http://www.ncl.ucar.edu/Applications/Images/h_long_5_lg.png I think I found out how some time ago (something like Colors[1:n]), but when I now wanna use it, I could not remember how I did it. Does anyone know which package I could use? Many thanks! Linda [[alternative HTML version deleted]]

I need grayscale formatting for a wireframe. The only col.regions that I can find are color palettes are all colored: rainbow(n, s = 1, v = 1, start = 0, end = max(1,n - 1)/n, gamma = 1, alpha = 1) heat.colors(n, alpha = 1) terrain.colors(n, alpha = 1) topo.colors(n, alpha = 1) cm.colors(n, alpha = 1) The code follows: X11() library(lattice) par(family="serif", cex=1.2)

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

On 8/7/20 12:00 PM, Rowland penny via samba wrote: > On 07/08/2020 19:46, Simon Matthews via samba wrote: >> I have a network with a Samba server (Samba 4, but running as an old >> NT-style domain), Windows and Linux clients. > You really should consider upgrading to AD, >> Is there any way to have the Windows client access map to just "user", >> with its

Hi, How would you calculate the "mean colour" of several colours, for example c("#FF7C00","#00BF40","#FFFF00")? Yours, Atte Tenkanen

I will second Roger's suggestion, colorRampPalette is a great function for creating your own palettes. For example, Matlab's jet palette (also available in fields package under peculiar name 'tim.colors') can be defined by: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

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

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

On 8/7/20 12:58 PM, Rowland penny via samba wrote: > On 07/08/2020 20:12, Simon Matthews wrote: >> >> The client is running CentOS 7: >> >> # cat /etc/redhat-release >> CentOS Linux release 7.8.2003 (Core) >> >> After another attempt, I have successfully joined the linux client to >> the domain: >> >> # net rpc join MEMBER -S

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

Hello, I am trying to plot SADIE red-blue plots of cluster indicies using filled.contour. I want a plot which only has three bins for the data: <-1.5, -1.5 - 1.5, >1.5, but I am having trouble getting there. example X1 X2 X3 X4 X5 1 -5 -4.5 1.0 4.5 6 2 -3 -2.0 1.2 -1.0 3 3 0 0.0 0.0 -0.5 -1 4 -2 -3.0 1.0 1.5 3 5 -6 -2.0 0.5 3.0 2 example<-as.matrix(example)

Como usas la función image puedes consultar la ayuda ?image o help(image) y encontrarás el siguiente ejemplo donde se usa un diferente color Palette (mencionada por pepeceb en su respuesta). x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) image(x, y, volcano, col = terrain.colors(100), axes = FALSE) # O puedes usar directamente el número para indicar el color image(x, y, volcano, col =