similar to: Problem with R colors

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)

Hi, Very so often when i am plotting something, doing a histogram, or whatever i am struggling to find out which are the numbers for different colors, palette names, types of lines, symbols, etc. Is there any documentation on line with all these numbers / names and the associated symbol / color??? For example if i am using the command image it uses a palette from red to yellow, with red the

Dear All, [I'd already sent this message earlier (Apr 6) but as I had no response and I still see that it is the case in R1.5 I thought I'd try again] I recently encountered a problem (actually missed some data) because "white" is one of colours in the "default" palette and that does not show up to well on my transparent (on white background). Of course it is

Dear all, I'm generally not a big fan of GUIs, but I have just discovered one thing where a GUI would be a nice thing: creating color palettes. I'm creating an "image", for transparencies for a lecture I'm giving, so this is going to look great... :-) What I'm out for, is to make green tones and red tones, and a relatively sharp break between them. This break will

plot(svm.auc, col=2, main="ROC curves comparing classification performance\n of six machine learning models") legend(0.5, 0.6, c(ns, nb, nr, nt, nl,ne), 2:6, 9) # Draw a legend. plot(bo.auc, col=3, add=T) # add=TRUE draws on the existing chart plot(rf.auc, col=4, add=T) plot(tree.auc, col=5, add=T) plot(nn.auc, col=6, add=T) plot(en.auc, col=9,lty="dotted",lwd=3, add=T) Hi,

Perhaps this is not a bug but rather my misunderstanding of lty and col. I would like to generate a legend for plots as follows: par(mfcol = c(2, 1), mar = c(5.1, 6.1, 4.1, 2.1)) matplot(t(matrix(1:8,8,20)), type="l") par(mfg = c(2, 1, 2, 1)) box(col = 0) # Rbug workaround. Thanks Martin legend((par()$usr)[1:2], (par()$usr)[3:4], as.character(1:8), lty=1:8, col=1:8,

Perhaps this is not a bug but rather my misunderstanding of lty and col. I would like to generate a legend for plots as follows: par(mfcol = c(2, 1), mar = c(5.1, 6.1, 4.1, 2.1)) matplot(t(matrix(1:8,8,20)), type="l") par(mfg = c(2, 1, 2, 1)) box(col = 0) # Rbug workaround. Thanks Martin legend((par()$usr)[1:2], (par()$usr)[3:4], as.character(1:8), lty=1:8, col=1:8,

hi folks, this is driving me up the wall. Apologies for posting twice in the same week, I'm writing up a thesis. I wish to color-code some dots in an xy plot. I've got a csv file with various elements, one of which is the color-key (with the header 'color'). If the color-key is decimal (eg. 1,2,3) then I can use plot (X ~ Y, col=data$color) The problem, however, is that using

Hello to all, I still have this doubt. I'd like to colour the different labels of my dendrogram each one with a different colour. How can I do? I guess I could do using *edgetext* and then *t.col* or* lab.col* but I don't know how to add edgetext to my dendrogram. Can you help me please? Example: require(graphics); require(utils) hc <- hclust(dist(USArrests), "ave") (dend1

For many years, when my R process starts up I've been automatically setting my preferred default plot colors, basically like so: my.colors <- c("black" ,"red" ,"gold" ,"sky blue" ,"green" ,"blue" ,"orange" ,"grey" ,"hot pink" ,"brown" ,"sea green" ,"cyan"

Hello, R-Help - I am trying to plot the results of an ordination from package vegan. The tricky part for me right now is getting the colors of the ellipses denoting the 95% confidence intervals of the group centroids to match the colors of the points for those same groups. >From and earlier post, I saw the code to make a plot of the ordination using different colors for my different groups.

Hello R experts, I am trying to plot ordiellipse for my data but the col according to factors. Metabolites_raw= read.csv(file.choose(), head = TRUE) #file 21Metabolites.csv Metabolites_t=t(Metabolites_raw[,2:82]) ord <- metaMDS(Metabolites_t, distance="bray") symbol=as.numeric(Metab_metadata$LandType) col.list <-

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

Hi- I am trying to plot a matrix of categorical values across time using color to represent each individual factor. For example: 1982 1983 1984 1985 1986 1987 1 19 19 68 68 19 19 68 2 68 68 19 19 68 68 19 3 26 26 34 34 26 26 26 4 57 34 57 57 34 57 34 5 34 57 26 26 57 34 57 6 28 28 28 28 28 58

Is there a way to increase the "sensitivity" of the color palette in order to more clearly represent certain sections of data? For example I am wanting to clearly differentiate between height data for a rolling landscape but because of the extremes of the dataset (sea and mountain tops), the bulk of the landscape is shaded in closely approximating green - i have attempted to do this by

Hi, I want to format my axis in my persp3d plot. With my data, which I attached I created a persp3d plot with the following code, which I summarized from different code snippets I found: library(rugarch)library(rgl)library(fGarch)fd <-as.data.frame(modelfit,which ='density')color <-rgb(85,141,85,maxColorValue=255)x <-seq(-0.2,0.2,length=100)y <-c(1:2318)f

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Hi all, In response to a previous post about plotting a numeric square matrix as a colored matrix, I was referred to both image and the color2D.matplot function in the plotrix package. Both have worked for me thanks!! However I need to plot my data in a log transformed color scale. Is this possible? I will be happy to explain further, but basically I need to do this because there are large

The following command produces red axis line in a pairs plot: pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", pch = "+", col = c("red", "green3", "blue")[unclass(iris$Species)]) Trying to fool pairs in the following way produces the same plot as above: pairs(iris[1:4], main = "Anderson's Iris Data -- 3

This may be elementary, but I can't find an answer: How can I set up global options for some specific arguments to functions in a package which can be easily changed by the user? This question relates to the selection of colors used in functions in several packages (heplots, genridge), where I want to provide reasonable default values for plots, but allow users to change those defaults