similar to: question in value-based color in image()

Hello, I have a matrix with value varying from -1 to 1. I hope to use scaled color based on its value to produce an image of this matrix. Suppose I hope to label those data in [-1,-0.5] with blue, label those [-0.5,0.8] with light blue (tone is proportional to its value) and label those [0.8,1] with white. How can I use image() and rgb() to achieve this? It would be great if I can have a

Hi, I'm kinda new of the R world. I need to use the heatmap or heatmap.2 function to plot correlation values. 2 questions: - how can I specify a color palette? (would like to have a transition from blue(-1) to white(0) to red(1)) - how can I use heatmap.2 imposing a specific order (like hclust.order)? I mean, I don't want heatmap.2 to re-cluster/re-order my data but just to plot them

Dear R-helpers, I'm plotting geophysical data in the form of contours using "filled.contour". The display would be much more effective if the areas with negative values could be color coded by -- say -- "cold colors" in the range of blue to green, and conversely the areas with positive values got plotted with "warm colors", from yellow to red. Right now if I use

Hi all. I am having a problem using color2D.matplot I am trying to visualize several different matrices under two color ranges. One color range corresponds to values less than 1 and the second color range for values greater than 1. However, the minimum value of each matrix differs and is automatically set to have the smallest value in the color range. Similarly, the maximum value of each matrix

Hello, everyone. I am trying to show the correlation matrix using color2D.matplot(). And I want to map (0,1) to (dark red to dark green). But by default color2D.matplot() will map(min element of given matrix, max element of given matrix) to (dark red to dark green). Can anyone help me with this issue? Thanks a lot! Youcheng Lin ____________ [[alternative HTML version deleted]]

Dear all I am using color2D.maplot to map some matrixes to plot. everything works fine. It seems that when my matrix contains only the same value color2D.maplot returns the following error: color2D.matplot(estimatedsr,redrange=c(0,1),greenrange=c(0,.5),bluerange=c(0,.5),xlab="x",ylab="y",main=sprintf('Estimated'),show.legend=TRUE,show.values=TRUE) Error in rgb(reds,

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 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

Dear R-help, Could any of you direct me to a function for plotting a grid of colours, directly specified by a matrix of hex colour codes? In other words I'm looking for a heatmap() or image()-like function to which I can specify the colour of each grid location directly, rather than providing a numerical matrix and a 1D-colour scale (heatmap, image, levelplots,NeatMap...). I'm surprised

In an R graphic, I'm using cond.col <- c("green", "yellow", "red") to represent a quantitative variable, where green means 'OK', yellow represents 'warning' and red represents 'danger'. Using these particular color names, in B/W, red is darkest and yellow is lightest. I'd like to find color designations to replace yellow and

Dear R users, I have a 51 by 51 matrix of p-values (named as pvalue_MA). I want to present graphically this matrix in a plot (filled contour plot) where both axes represent probabilities. I have also added a grid in this plot. I want to highlight in white the cells of the grid that represent p-values smaller than the (common) significance threshold, 0.05. The code from this plot is colored in

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

Suppose we start with data("Titanic") mosaic(Titanic, shade = TRUE) How do I combine the dashed box contours of shading_Friendly to indicate negative residuals, with three levels of gray: dark for abs(Pearson Resid) > 4, lighter for 4 > abs(Pearson Resid) > 2, and lightest for bs(Pearson Resid) < 2 ? Thanks, Michael ______________________________________________

I am using color2D.matplot to plot a matrix about 400 by 200. The values in the matrix are 0:5 and NA. The resulting plot is not color, but shaded b/w. I tried to figure out how to add colors, I would like something like c(blue, green, red, cyan, green) #example motifx <- matrix(NA, nrow=100,ncol=20) motifx[,1:5] <- 1 motifx[,6:10] <- 2 motifx[,11:15] <- 3 motifx[,15:19] <- 4

Dear R-users, I haven't found a way in the searchable archive to overplot a contour (lines) over a surface. I have a (n,m) matrix that represents sea surface temperature that I have plotted using image.plot(), filled.contour() or image(). I would like to overplot this image with some contour lines of mixed layer depth values(same size matrix). How can I do this? Any help is appreciated,

Hi all, I'm making a PCA plot with eight variables (columns taken from a larger data frame "fieldTrial0809[idx,c(39:46)]"). I then want the symbols in the plot to be colored as a gradient from red to blue, depending on the value of another column in "fieldTrial0809[idx, c(48)]" containg temperatures from -12.1 to -5.4. I don't want to use the heat.colors(n)

Hi All, I'm trying trying to draw a colour wheel (a slice of hcl space) in R. Running the code below doesn't give me what I expect - there's some oddly bright colours of the wrong hue around c(0, 0) and I see three coloured circles (a small magenta, a medium sized yellow and a large cyan). Am I doing something wrong or is there a bug in the hcl code? (Also any suggestions for

I've found RColorBrewer useful for its qualitative palettes, but wished that it could generate more than 12 qualitative palettes (e.g. with Set3). Any suggestions for alternative color palette generators that can handle e.g. 18 distinctive colors? (I'm aware of using rainbow(), but this doesn't generate enough distinct colors when the number of palettes is large). Thanks, Andrew

Hi all, I have posted similar questions regarding this topic, but I just can't seem to get over the hump and find a straightforward way to do this. I have attached my file as a reference. Basically, the attached file is a 5 degree by 5 degree grid of the the world (2592 cells), most of them are NA's. I just want to be able to plot this grid over a world map and color code the cells. For

Hi all, I'm fairly new to R, so I'm still trying to feel out what is available to me. I would like to be able to plot joint density in a two dimensional plot where density is indicated by color or darkness gradients, like a 2d color coded topographic map. Ideally, the output would be something I could then plot other points or lines on. Currently, I'm calculating joint density with