similar to: log plots woes

Hey Gang, Here is the situation. First of all I am a newbie, in the arena of R, so please bare with me. I am trying to make a plot with a series of plot lines that uses logs on the x axis, and when I plot it I am having a few odd things go on that I do not know how to correct. 1. the tick marks are not where I want them to be. I want them at .1, 1, 10, and 100, but I'm get them at 0.1,

Ok, now we have the mapping of color names to color codes (see below) and conversion to rgb (something like Ben Bolker's function), but how to convert rgb to hsv? Thanks to Brian Ripley, Peter Dalgaard and Ben Bolker Details below Regards Jens etc/colors.big maps 455 names to rgb in S syntax etc/rgb.txt maps 657 names to rgb in C syntax, but unlike colors() it has mixed upper and

Hi all, I have a 36x14 matrix of hexadecimal coded colors (see attached file) that was created with the following code: cellcol[is.na(cellcol)] <- "#FFFF00" #Aliceblue cellcol[cellcol < 5] <- "#F0F8FF" #Skyblue1 cellcol[cellcol >= 5 & cellcol < 20] <- "#87CEFF" #Blue cellcol[cellcol >= 20 & cellcol < 35] <- "#0000FF"

I am working on a script that takes numeric performance indicators and runs them against a series of regressors (dummy regressors, yes\no stuff via 0 and 1, e.g. Was is Christmas this week 0=no, 1=yes). The script is as follows (Written as a function): -- Begin Script -- doEnv <- function(HOUR,ENVNAME,REPORTNAME) { library(RODBC) library(forecast) library("geneplotter")

A recent article in the earth science literature cited below and available at http://geography.uoregon.edu/datagraphics/EOS/ points out that rainbow color schemes and mixtures of green and yellow can be troublesome for people with color-deficient vision. The authors propose alternative schemes that can be viewed and downloaded in RGB, HSV, CMYK, and RGB256 formats from

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)

The messages are visible in 2.6.0dev The same commands in 2.4.1 work without warning messages. I am using the HH_1.18-1 from R_2.4.1 with both R versions and not the current HH_2.1-3 version$version.string installed.packages()[c("grid","lattice", "HH"),3] ## library(HH) library(lattice, lib.loc="C:/PROGRA~1/R/R-2.4.1/library") hotdog <-