similar to: Colorramp in Maptools, how to choose min and max values for the fg= argument

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(

Hello, I am looking for the XML Package for Windows or any package, which would enable me to use the function "xmlTreeParse". In a thread dating from 2001, the same question is raised: >>Griffith Feeney wrote: >> >> Has anyone gotten the XML package (R News 1-1:24) with R running on Windows >> (95 or 98 or 2000)? I've looked at the omegahat, expat and libxml

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

I am trying to reproduce the nice looking of Mandelbrot demonstrated by R wiki page by the following code: library(caTools) # external package providing write.gif function jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow", "#FF7F00",

Dear R users- Do the lattice/latticeExtra packages support multiple tileplots with unique colorkeys? I am trying to create a visualization of the encounter rate of certain stocks of salmon across two years. The issue I am having is that some stocks are encountered at much higher rates than others.the high encounter rate for one stock washes out the patterns I'm hoping to visualize across the

`grDevices::convertColor` performance can be improved by 30-300x with small changes to the code. `colorRamp(space='Lab')` uses `convertColor` so it too benefits from substantial performance gains. `convertColor` vectorizes explicitly over the rows of the input color matrix using `apply`. The level-1 patch [1] illustrates a possible minimal set of changes to achieve this with just R

Hello all, This message is simple instructions to install Samba + OpenLDAP on FreeBSD (4.7). Hope it would help someone. 1. To keep ports update, better install cvsupit in the beginning mis3# cd /usr/ports/net/cvsupit mis3# make install clean Reference: FreeBSD Unleashed (by Urban and Tiemann), p. 425 2. To use Samba + OpenLDAP with the option "ldap ssl =

These patches better implement ArtProvider and add the demo for it. I also expanded the bigdemo window a little bit. I really think we should go larger but I suppose there might be some people at 800x600 still. Note that creating your own art provider still doesn''t quite work correctly. I didn''t have time to get into that. The RubyConstants.i.patch file looks weird. Not

Hello, I have been creating many tileplots to try and illustrate the relative abundance of fish through space and time. My issue is that the tiles that border the plot are smaller than those in the center of the plot. In the example I've provided the effect is pretty minor (I'm hoping this will be an adequate example as I had the code already created/data uploaded). However, I have other

Try the rgb function in the grDevices library. pal.cr<-colorRamp( c("blue", "white", "red"), space = "rgb") plot(rep(0,40),pch=16,col=rgb(pal.cr((0:40)/40),max=255)) Troy -- View this message in context: http://n4.nabble.com/ColorRamp-different-from-ColorRampPalette-tp889372p1692642.html Sent from the R help mailing list archive at Nabble.com.

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",

Hello! I am running samba-2.2.7a under FreeBSD 4.7. I tried to run Samba server as a PDC. However, I couldn't append the character "$" to the machine account. According to Samba-PDC-HOWTO.html in swat, I edited the /etc/passwd and added $ in my machine account manually. But still no use. It seems that my PDC is ok because it can authenticate the user from Window ME

Hello :-) I am trying to run the next script, it generates "random areas" inside a map of the american continent, and then plot it, it?s suppose that every frame gives you the evolution of the program but at some point it stops with the weirdest of the errors I?ve ever seen in R, I don?t even have a line like that :-| Error in if (random_matrix[x_list[random_sq] - 1,

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 created a graph with heatmap(sma) function: heatmap(dataHeat(x)) and I wish to change the gradation of colors from blue to red, how could i do? Using "heatmap(dataHeat(x), col=c(2,4))" i will use only 2 colors without gradation. Ty so much Andrea

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

I'm trying to create a graph where different cells of a grid (a shapefile) will be painted with a color share scale, where the most easy way is to use gray(). Can I somehow get a vector (gradient) of colors, a vector of colors with other methods but gray()? I'm doing this until now quad_N_sp <-

Hi, last week I installed 2 servers with two dovecot nodes and replication in active/active mode located in different datacenters. Based on the howto from wiki "http://wiki2.dovecot.org/Replication" it works great. According to the wiki it is recomended to run "doveadm purge" on both systems continously, because "doveadm purge" will not be replicated by the

Dear all, I am searching for a way to compute a test comparable to Chuang et al. ("Causality in Quantiles and Dynamic Stock Return-Volume Relations"). The aim of this test is to check wheter the coefficient of a quantile regression granger-causes Y in a quantile range. I have nearly computed everything but I am searching for an estimator of the density of the distribution at several

In the following example I would like to have the color transition from Red->yellow->green in the image(...) function, and if possible have the yellow be set to correspond with the mean value (for the below 75). ? I was able to figure something like out when using filled.contour(...), e.g. filled.contour(ak.fan, levels = c(70, 73, 76,?80, 90), color = terrain.colors) (I still