search for: cellcolor

...ause there is no way of knowing how high the value will be beforehand). Any help would be greatly appreciated. Thanks, Jav library(plotrix) make_S_figure<-function(filename,alias){ h0 <- read.csv(file=filename,head=TRUE,sep=",",row.names=1) d =data.matrix(h0) m <- 1:20 cellcolors<-matrix(NA,nrow=20,ncol=20) cellcolors2<--matrix(NA,nrow=20,ncol=20) for(i in 1:length(m)){ cellcolors[d >= 1]<-color.scale(d[d>=1],cs1=c(1,1),cs2=c(1,0),cs3=c(1,0)) cellcolors[d<1]<-color.scale(d[d<1],cs1=c(0,1),cs2=c(0,1),cs3=c(1,1)) color2D.matplot(d,cellcolors=cel...

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]]

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 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 latex/R-Sweavers, Using the codel below, I can color text in individual cells for latex output. Is there a similar way to get a background shading? My attempts failed because I did not get the closing brace at the right place with Hmisc/latex. library(Hmisc) x <- as.data.frame(diag(rnorm(3),nrow=3)) cellTex <- matrix(rep("", NROW(x) * NCOL(x)), nrow=NROW(x)) cellTex[2,2]

Hi list, Could you explain the error I see here? Thanks! ## I'm using R 2.8.0 on WinXP, Hmisc_3.4-3 > table1 <- matrix(10, 180,7) > cell.format <- matrix("", ncol=7, nrow=180) > cell.format[c(seq(3,180,6),seq(4,180,6)),] <- "color{red}" > cell.format[c(seq(5,180,6),seq(6,180,6)),] <- "color{green}" > > latex(table1,

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

Hi there, I'm attempting to use color2D.matplot(x,cellcolors=cellcol, do.hex=TRUE) from the plotrix package, but do not want to have borders around the hexagons. I've tried various approaches such as fg="white", col="white", lty=0, lwd=0 and border=NULL/FALSE/"white", but none of them works. I'd appreciate any ideas....

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,

...or<-color.scale(sr,xrange=range(sr)) but this just returns colors and not ranges where a color should be applied. so when I plot my images with: color2D.matplot(estimatedsr,xlab="x",ylab="y",main=sprintf('Estimated %d',i),show.legend=FALSE,show.values=FALSE,border=NA,cellcolors=colcolor) all the plots get the same cell color in every cell which too far from correct. So do you know if it is possible with color2D.maplot or with other plotting technique to plot many diagrammes that use the same coloring scheme (values dynamically predetermined are matched to specific colo...

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 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

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

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

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

Hello, I am an absolutely beginner with regards to R, so forgive me for my potentially very stupid questions. I have been attempting to create recurrence plots using R. The data I am using is based on a mutually exclusive and exhaustive coding scheme with over 40 individual codes which can be assigned to 6 higher order categories. When I carry out the usual rqa command, my plot is pretty much

Hello there! I'd just like to say in advance, "Thank you," for any help and/or advice. My problem is as follows: I have a dataset that is made up of percentages. I've assigned my "error" percentages a value of '-100', my "non-existent" percentages a value of '0', and all my other percentages are normal values that range from the high

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

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 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