similar to: Scatterplot with the 3rd dimension = color?

I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is possible to see how many overlapping is in the plot. But disadvantage of it is that single points are barely visible on the background. So I wonder if there is possible to make setting that single points would be almost black, but with more and more data on the same spot it would get more and more whiteish. Or maybe it is

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

I'm using ks.test (mydata, dnorm) on my data. I know some of my different variable samples (mydata1, mydata2, etc) must be normally distributed but the p value is always < 2.0^-16 (the 2.0 can change but not the exponent). I want to test mydata against a normal distribution. What could I be doing wrong? I tried instead using rnorm to create a normal distribution: y = rnorm

Dear Colleagues: I have 3 numeric variables (say x, y, z) in a data.frame and want to draw a 2D-scatterplot with the 3rd dimension as color, if possible without having to convert the whole thing to an appropiate matrix for image() manually. Can e.g. scatterplot3d do something like this? There's a function xyz.convert, but I couldn't find the way to use it properly. Sincerly,

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

Hi, *Warning: R newb here. * I've got a 3D scatterplot ( http://www.fleetwoodswoodworks.com/scatterPlot.jpg) which I want to drape in color, with the draped plane corresponding to the mean z values on the plot (similar to: http://www.fleetwoodswoodworks.com/draped3Dscatterplot.jpg). Does anyone know what package will allow me to do this? I used * scatterplot3d()* for my first plot. I've

Hi All, I would like to fill the area under a curve with a gradient of colors. Are there any packages or trick I could use Thanks Stefan Stefan Van Dongen Antwerp [[alternative HTML version deleted]]

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

Hello, I am searching for the best method to plot two variables with points whose output color depends on the size of a third variable. For example, the darkness of the x-y point would increase incrementally based on the size of the z value, similar to the colramp parameter in geneplotter. This would be analagous to symbols(), except changing the selection from the color gradient rather than the

Hello guys, I have this data set that I imported into R using a line: This data set consists of 7 columns. The two important columns are the first one called 'thrust' and the last one called 'amtemp'. jet<-read.table("jetthrust.txt", fill=T, head=T) I am making a scatterplot matrix simply using the line "pairs(jet)" The problem is that in the last

The R function hclust is used to do cluster analysis, but based on R help I see no way to print the actual fusion distances (that is, the vertical distances for each connected branch pairs seen in the cluster dendrogram). Any ideas? I'd like to use them test for significant differences from the mean fusion distance (i.e. The Best Cut Test). To perform a cluster analysis I'm using: x

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, I am a complete R rookie so this question is probably really simple but I haven't found an answer on the web that I can understand. My data frame has 3 columns, A, B and C. A and B have numbers (about 8000 rows), C is a factor which is either true or false. So I can plot A vs B with plot(dataframe$A, dataframe$B). However, I would like the points to be different colors depending

Hi all, Is there a way to fill a rectangle or polygon with a color and/or transparency gradient? This would be extremely useful for me in terms of adding some additional information to some plots I'm making, especially if I could define the gradient on my own by putting functions into rgb something like rgb( r=f(x,y), g=f(x,y), b=f(x,y), alpha=f(x,y) ). Not so important whether the

Hi, I wonder whether there is a way to generate a polygon (a triangle in my case) with color gradient using grid.polygon() in package grid? I tried something like library(grid) grid.polygon(x=c(0, 0.5, 1), y=c(0.5, 1, 0.5), gp=gpar(col=NA, fill=colorRampPalette(c("green", "lightgray"), space="Lab")(200))) But am only

Hi, Is it possible to diagonally fill a rectangle with a color gradient? I noticed that the gradient.rect of plotrix could fill a rect either up and down or from side to side. I am looking for something similar but fills diagonally instead, e.g., from the upper left corner to the bottom right. Does anyone know how to do it in R? Thanks, -- Tom [[alternative HTML version deleted]]

Hello Recently, I've been dealing with a seemingly simple problem. I have a table with two columns filled with values from a test I made (say, amount of precipitation and Months measured). Now, instead of plotting a typical linear graphic with precipitation on the y-axis and the months in the x-axys, I would like to "convert" the values of precipitation in a color gradient,

Hi, I have a matrix with both positive and negative numbers, I would like to use image() to draw a heatmap. How can I can design a palette (or is there a function already available) that treat negative numbers in a blue gradient and positive numbers in a red gradient and treat 0 as white? Thanks

I need to measure kurtosis, skew, and maybe dip test on some distributions I have. Currently my data is in the form of 2 vectors x and y. Where x is 10 bins and y is the number of observations found in that bin. It seems that the measures I want to run require the actual observations laid out rather than already summed like I have them. Any suggestions on how to transform the data automatically? I

Dear R community, With an advantage of being "NEW" to R, I would like to post a very basic query here, I am in need of representing gene expression data which ranges from -0.09 to +4, on plot "segment". please find below the data df, the expression values are in df[,2]. kindly help me with the code, so that I can represent the values with a clear color gradient (something