similar to: How to use alpha transparency channel for colors?

At our facility we have multiple sample points that are sampled on any given day. What I would like to do is create a map of the facility with the sample points (and point labels) and when we have out of specification results, place a transparent dot over the area on the map. As the number of OOS results builds up, I envision the dot getting darker. Are there any packages out there that can aid

I want to get a lighter shade of a color...I have a lot of colored objects and want each one printed as a foreground against a slightly lighter background. I thought I could try something like changing the alpha channel by first converting it to rgb. But prior to trying that, I'm stuck with how to get the color after converting using col2rgb() to be interpreted again as a color, rather than

Hello Core Folk. Quite by accident I discovered today that col2rgb, when fed factors, acts on the integer representation of those factors: td <- as.factor(rainbow(5)) # not how I discovered the issue! td res <- col2rgb(td) res # but col2rgb("#FF0000FF") # this is td[1] but does not produce the same answer res[,1] # moreover as.integer(td) col2rgb(5) # the integer value of the

I'm using R 2.0.1. I looked in the email archives but didn't see anything on this topic. I've noticed a surprising (to me) difference between AIC and BIC: > methods("AIC") [1] AIC.default* AIC.logLik* > methods("BIC") [1] BIC.gls* BIC.lm* BIC.lme* BIC.lmList* BIC.logLik* BIC.nls* The BIC.gls BIC.lm BIC.lme BIC.lmList and BIC.nls functions appear

I've noticed that a frequently asked question on R-help is how to sort a data frame by multiple columns. Since this question is asked so often, making this task easier for users seems a worthwhile goal. At a minimum, the following changes to the documentation would surely be helpful and reduce email postings to R-help: 1. In the "See Also" section of the help page for

-----Original Message----- From: Duncan Murdoch [mailto:murdoch at stats.uwo.ca] Sent: ned 2004-10-17 15:34 To: Gorjanc Gregor Cc: r-help at stat.math.ethz.ch Subject: Re: [R] Plotcorr: colour the ellipses to emphasize the differences On Sun, 17 Oct 2004 02:51:58 +0200, "Gorjanc Gregor" <Gregor.Gorjanc at bfro.uni-lj.si> wrote: [removed old stuff] >>I would also like to

Hello List Dwellers: I?ve looked around quite a bit, but don?t quite see an answer that I understand. I?m looking for a way to take any kind of color specification (rgb, hsv, hcl, hex) and match it to the n-nearest R official color names. Clearly it is easy to interconvert different specification schemes and color spaces, but matching to the name seems a bit trickier. Seems like if one has a

Hi, I'm trying to draw a 2D plot using multiple tints of red. The (simplified) setup is the following: || year | x | y || My idea is that each year is plotted with a different tint of red. Older year (lightest) -> Later year (darkest). I've managed to plot this with different scales of grays simply by doing: palette(gray(length(years):0/length(years))) before the plot and for each

I have seen a couple of posts about color schemes like those at the ColorBrewer site. Most recently: http://geography.uoregon.edu/datagraphics/color_scales.htm These color schemes can work very well for regions (bars, polygons, images, etc.) but are not very suitable for points and/or lines. Is anyone aware of research/suggestions for a color scheme to use for scatter plots? I've looked at

How can I make one point graphics with transparency These are all sp classes: plot(polygons_area,axes=TRUE,asp=1.5,main="Title",xlab="Latitude", ylab="Longitude") points(observations2000,type = "p",pch=21,col="green") points(observation1999,type = "p",pch=21,col="blue") points(reference.points,type =

Hi Martin, Great that you follow this. My original intention was to be able to translate colornames to hsv because this would allow using colornames to cut out a certain part of the colorwheel for colorcoding (HSV component H, see my code below) I think internally we might have colors represented as Colornames, ColorIntegers, ColorHexcodes, ColorRGBs, ColorHSVs (ColorCMYs?) however the R-user

I noted that there is a hsv2rgb in the C-API, but no corresponding function in R, while rgb2hsv is available in R. Does the functionality of hsv2rgb hide under some other name? Dieter

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

Full_Name: Kevin Wright Version: 1.9.0 OS: Windows 2000 Submission from: (NULL) (170.54.59.160) The html help file for the 'library' function contains this sentence: Note that installed.packages() returns... The 'installed.packages' hyperlink points to 'installed.packages.html'. The latter file does not exist for me. I suspect the link should be to

Not necessarily a bug report, but might be nice to change. I'm using R 2.0.0 on Windows 2000. The promptData function creates a .Rd file in which the 'usage' section is: \usage{data(<dataset>)} I've looked at several of the help files for various data sets. It looks like the use of 'data' is being reduced and so it might be more appropriate for promptData to

Dear r-helpers, I wonder whether, given the "#rrggbb" representation of a colour, there is a simple way to select the complementary colour, also expressed as a "#rrggbb" string. Any suggestions would be appreciated. John -------------------------------- John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604

When I use grid.rect to print a multi-coloured grid, it is incredibly slow compared to a single colour grid, or even a two colour grid. I've set out some simplified examples below. This is something I run literally thousands of times a day, so I would greatly appreciate any hints on how I might improve the speed??? library(grid) pushViewport(viewport( width = unit(100,

First, a disclaimer. I am not affiliatied with the SAMM package. I am only a user of the package, but I have been contacted (off list) by people requesting information about SAMM and so I am posting this information here. SAMM is software for fitting mixed models. Versions are available for both S-Plus and R. More information and downloads of the software (and manual) are available here:

I have an S-Plus library that I would like to port to R. The library sends a mix of static and dynamic output to an html file. For example cat(" ... Big block of HTML formatting code ... ") cat(dat()) cat(" More static text ") With S-Plus I can just cut and paste HTML code from other files into my S-Plus script file. This makes maintenance of the script fairly easy. The

I'm looking for a scheme to generate a default color palette for plotting points, lines and text (on a white or transparent background) with from 2 to say 9 colors with the following constraints: - "red" is reserved for another purpose - colors should be highly distinct - avoid light colors (like "yellow"s) In RColorBrewer, most of the schemes are designed for area fill