similar to: transparent grays?

On Sun, 17 Apr 2016, Michael Hennebry wrote: > On Sun, 17 Apr 2016, Michael Hennebry wrote: > >> I have an HP Photosmart C3180 All-in-one. >> As I haven't had any need for color lately, >> when I last replaced ink, I only replaced the black cartridge. >> It didn't work, even when printing grayscale-only images, >> even when telling print-set-up

I'm working with the following code below to generate a how do I set the h,c, and l values such that the significant, positive residuals appear different on a grayscale printer from significant grayscale residuals. The challenge as I see it is that one can only distinguish the positive and negative residuals with the hue/. Varying the chroma and the luminance only affect the

Dear all,   i would like to count the number of times where I have combined occurrences of the categories of 2 variables.   For instance, in the dataframe below, i would like to know how many times each author (au1, au2, au3 represent the first, second, third author) is associated with each of the category of the variable 'nam'. The position of the author does not matter.   nam <-

I have an HP Photosmart C3180 All-in-one. As I haven't had any need for color lately, when I last replaced ink, I only replaced the black cartridge. It didn't work, even when printing grayscale-only images, even when telling print-set-up grayscale-only. Is there a way to tell my printer to use only the black ink cartridge. My test image is a handmade postscript file that only use setgray

Hi all, I'm an R newbie, I did this script to create a scatterplot using the "tree" matrix from "datasets" package: library('datasets') with(trees, { plot(Height, Volume, pch=3, xlab="Height", ylab="Volume") symbols(Height, Volume, circles=Girth/12, fg="grey", inches=FALSE, add=FALSE) } ) I'd like to use the column Named

Hi, is there a grayscale setting for lattice plots? I like the default color settings. I also like the settings that are available for setting black and white with something like this: --8<---------------cut here---------------start------------->8--- ltheme <- canonical.theme(color = FALSE) ## in-built B&W theme ltheme$strip.background$col <- "transparent" ##

Dear all, I am working on an author network and to do so I have to arrange a data.frame (tutu) crossing author names (rows) per publication number (column). The participation of the author to a study is indicated by a 1 and 0 otherwise. I have a vector (xaulist) of all the names of authors and a data.frame (tata) with all the publications in row and the authors in columns. I have writen a loop

Hello everyone, I am currently using the mvpart package and would like to change the color scheme it uses, and was hoping someone could help me out. All of the papers I have found have used a grayscale but I can't seem to figure out how they did that! Currently, mvpart plots barplots in a repeating sequence of 3 shades of blue. So if you have 6 response variables the same shade of blue is used

Dear all I prepared some image processing routine which depended on package ReadImages. Basically I imported image to R, changed rgb to grayscale, normalised an image made some selections and changed to image by imagematrix. Recently I learned that this package was removed from CRAN and can not be used in R 3.0.0. What options I have now to import image to R, change it to grayscale, make some

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Hi again, I'd like to ask you a question again. I have a matrix like this: a <-matrix(c(1,2,3,4,5,6,7,8,9,10,11,12)) a [,1] [1,] 1 [2,] 2 [3,] 3 [4,] 4 [5,] 5 [6,] 6 [7,] 7 [8,] 8 [9,] 9 [10,] 10 [11,] 11 [12,] 12 Is there a proper way to change the dimensions of this matrix so that I'll get this as a result: [,1] [,2] [,3] [1,]

Hello everybody, I have a little problem in good old R. It is basically the following. I have this small database with 3 rows and the following columns: d1, d2, d3 and Highest d value - which selects the highest value from d1, d2, d3 in each row. d1 d2 d3 Highest d value 1 51.398426 39.111721 11.6086220 51.398426 2 4.057801

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)

Hello, For insect mortality data I'm trying to get an R script that will take the data from the raw form and convert it to Lx (% survival) for a number of treatments. The raw data has the number of days lived for each individual for the respective treatment. Thus, for example, when R selects the data for a single treatment I end up with the following vectors: >day=seq(from=0,to=6)

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 there, I don't know if I'm addressing my question to the right e-mail address, I hope I do. Actually I have a little problem concerning writing a code in R. I try to briefly sum up my problem. As you can see below, I created the functions "Equation1" and "Equation2" with some conditions. Equation1 <-function(x){ if

hi all, i have a simple scatter plot, and i'd like to make it so the scatter plot colors are slightly transparent. i see in a previous post that someone mentioned the "alpha" parameter, but i am not sure how it can be used with the 'plot' function [*]. for example, suppose i have: plot(mydata$column1, mydata$column2, col="red", cex=1) i now want to make it so

Hello everyone, I'd like to ask you a question again, basically focusing on referring to different objects. Let's suppose we create the following databases this way: id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3) b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2) c

I've not seen this asked since I've been on the list; but was wondering... I'm currently sticking to the 2.2 line and have no plans to move to 2.4 right now. Is there any attempt to back port some of the changes in the newer 2.4 line back into 2.2? ext-0.0.7a.tar.gz has been stable thus far, but it's getting kind of old. NEM

Hello there, I have a problem concerning bootstrapping in R - especially focusing on the resampling part of it. I try to sum it up in a simplified way so that I would not confuse anybody. I have a small database consisting of 20 observations (basically numbers from 1 to 20, I mean: 1, 2, 3, 4, 5, ... 18, 19, 20). I would like to resample this database many times for the bootstrap process with