similar to: color2D.matplot not giving colors

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]]

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

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,

Hi, I finally came up with a nice colored matrixplot, using the color2D.matplot function of the plotrix package. But I can't assign xtics and ytics to this plot. I made sure that the matrix has correct colnames() and rownames(). Here's what I do: a=matrix(1:16, 4, 4) colnames(a) <- c("X1", "X2", "X3", X4) rownames(a) <- c("Y1",

I am a true R novice aonly using it for this function ;) I am trying to use color2D.matplot to form a image of my data using the following conditions color2D.matplot(fi1, c(dr), c(dg), c(db), nslices=7, ylab='Species', xlab="gene", show.legend=TRUE) where fi1 is my matrix. I have a matrix with 36 columns and 130 rows. most entries are 1 or 0 and I am trying to get this

Hi, I am using color2D.matplot (...) function of "plotrix" package. I used a matrix of size around 20*20 However, apparently it failed to visualize the matrix and gave the following exception, which I don't have any idea about possible source of this error. "Error in plot.new() : figure margins too large" It would be appreciated if someone points me to the right origin

Hi, I am trying to plot a large matrix by using color2D.matplot. A substantial part of the matrix has no data (NAs). However, when trying to plot it, I get an error. It is only when I change all NAs to zeros that it works, but that in some way introduces 'wrong' data. Is there any workaround this? Thank you in advance!!! Bernardo -- View this message in context:

Dear All, I am using the plotrix library to plot some matrices. I have a problem: some of my data are outliers, hence using a linear color scale does not work very well (you would see too many cells having a similar, indistinguishable color). See the code snipped at the end of the email. Plotting the logarithm of the data gets the job done, but my problem is that I would like to write in every

Dear All, Please see the code snippet at the end of the email. I am using the color2D.matplot in Plotrix to plot a matrix. It works great, but there are a few things I cannot figure out (1) the value of cex.axis in the code snippet does not seem to affect the final pdf at all (at least on my system, Ubuntu 9.10, plotrix and Cairo installed from cran). How do I specify the size of the axis ticks

Dear all, I have -one matrix sr ([200,200]) which is the original file -25 matrixes estimatedsr ([200,200]) which are an estimation of the sr. As I am plotting these matrixes I want to have ONE common way that the cells are colored. Eg. Values from 10-20--> red color, 20-30-->blue color (or something like that). This is the only way one can easily compare all these matrixes together. The

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

Hi, I apologise in advance for the na?ve question. I have large matrices that I want to plot. I currently use color2D.matplot. However, these matrices contain many values of no interest (i.e. where there is no data, the figure -999 is automatically displayed). Is there any way of removing these from the matrices to be plotted by matplot? An obvious possibility is setting them all to 0, but that

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 would like to ask your help to add a color band (Ι am not sure regarding the right term, this color band at the right of the plot "describing" values with their corresponding color. For now I have only this code test<-matrix(data=runif(10000),nrow=100) plot(test,axes="FALSE") axis(1,at=c(0,1),labels=c("a","b")) # but  I would like to add

Hi all, I have a x, y matrix of numbers (usually ranging from 0 to 40). I need to group these numbers and assign a color to each group (for example 0 to 15 - Blue, 16-30- Yellow, and 31-40- Red). Then I need to draw a rectangular matrix which contains X x Y boxes and each box has the corresponding value from the input matrix and is also colored according to which group (i.e red, yellow,

Hello, I have a matrix A 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, e.g. rgb(1-tone, 1-tone, 1) where tone=abs(A)/0.5), and label those [0.8,1] with white. How can I use image() and rgb() to

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 have searched for a solution but I failed to find an answer. I am hoping you may be able to help me. I have a data set where I have observations for a number of units (n =~40) over a period of time (t =~100) and I have a variable (Z) that codes a categorical variable for each observation. I want to produce a 2D plot where time is on the x-axis and units are on the y-axis. Then each block

I want to use aggregate with the mean function on specific columns gender <- factor(c("m", "m", "f", "f", "m")) student <- c(0001, 0002, 0003, 0003, 0001) score <- c(50, 60, 70, 65, 60) basicSub <- data.frame(student, gender, score) basicSubMean <- aggregate(basicSub, by=list(basicSub$student), FUN=mean, na.rm=TRUE) This

Dear all, I am trying to make a series of waffle plot-like figures for my data to visualize the ratios of amino acid residues at each position. For each one of 37 positions, there may be one to four different amino acid residues. So the data consist of the positions, what residues are there, and the ratios of residues. The ratios of residues at a position add up to 100, or close to 100 (more on