search for: overplots

Dear all, After having set par(mfrow = c(2, 2)) and switching between plot() and xyplot() using R 2.0.0 Patched (2004-10-13) under Windows 2000, the lattice plot gets overplotted. I also tried this under 1.9.1 Patched (2004-09-22), since this is the only older version I've got installed, and it did the same thing apart from that the overplotting now starts in the opposite lower corner.

Hello, I am trying to use cluster.overplot from package plotrix and I get an error message when I add the "away" parameter: require(plotrix) distance <- read.table("distance.txt") cmd <- cmdscale(distance) cp <- cluster.overplot(cmd, away=2) Error in if (sum(overplots) > 1) { : missing value where TRUE/FALSE needed If I don't use "away", everything works fine. I don't see anything in the documentation that explains this error. Any help will be appreciated. Many thanks --j

Moving from S-plus to R I encountered many great features and a much more stable system. Currently, I am left with 2 problems that are handled differently: 1) I did lots of "overplots" in S-Plus using par(new=T,xaxs='d',yaxs='d') to fix the axes ->What is the workaround in R ? 2) In S-Plus I could fix "scientific notation" or "normal notation" in output ->How can I handle this in R ? I found no fix in the documentation I am using...

Dear all, I have 3 datasets all of which share the same longitude and latitude values, which I'm looking to plot onto a scattergraph. The third dataset has values which can only be either '1' or '2'. So to incorporate all three datasets onto two axes, I'm wondering if I can plot dataset1 and dataset2 as normal, but then use colour to determine whether these points are

...plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x, data=xy), which=5) The "Cook's distance" text overplots the label for the point with the smallest residual. This is an issue when the size of the plot is much less than the default, and the pointsize is not reduced proportionately. I suggest the following: xx <- hii xx[xx >= 1] <- NA ## Insert new code fracht <- (...

require(gplots) data(rtPCR) overplot( RQ ~ Conc..ug.ml. | Test.Substance, data=rtPCR, subset=Detector=="ProbeType 7" & Conc..ug.ml. > 0, same.scale=TRUE, log="xy", f=3/4, main="Detector=ProbeType 7", xlab="Concentration (ug/ml)", ylab="Relative Gene Quantification" ) # Error in lowess.default(mf[[-response]], mf[[response]], f = f,

Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the

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 am plotting some data, and use text() to get variable names next to points on the graph. What is the best way to make sure that these text labels are readable and not overlapping when two datapoints are close? I've tried using jitter(), but the effect is random and doesn't always give a good result. Any suggestions would be most appreciated. Best regards, Gustaf Example:

When I create a dotplot in lattice, I frequently observe overplotting of the labels along the vertical axis. On my screen, this illustrates overplotting of the letters: windows() reps=6 dat=data.frame(let=rep(letters,each=reps), grp=rep(1:reps, 26), y=runif(26*reps)) dotplot(let~y|grp, dat) Is there a way to automatically scale the labels so that they are not over-plotted? I currently do

Hello! I am working with signals and a plot of several signals on the same axes can get quite messy. With lines that are very fractured, distinction by only the linestyle is not very clear. If I add symbols to the plot however, there are so many symbols, that they overplot and the whole plot is unreadable once again. I am looking for advice on how to make a plot with continuous lines and symbols

Hello I was wondering how I can achieve matlab style plotting in R, in the sense that matlab allows you to plot multiple sets of variables within the same x-y axes. plot in R does not seem to cater for this. I tried 'overplot' from the gplots package but this assumes different y axes for the variables. any suggestions would be very appreciated Maria [[alternative HTML version

I have created a lattice bwplot that suffers from axis label overplotting. The box plot contains grid lines, and I thought that only plotting the labels for corresponding vertical grid lines would not only cure the overplotting but also be more aesthetically pleasing. Unfortunately hours of poring over manuals, documentations, mailing list archives, and other R-related text hasn't helped.

Dear R users, do you know an easy way (other than star plot) of making several points laying one over another visible? Is it any simple way of increasing such "multipoint" symbols - or shifting their positions randomly to make several points in one place visible? Cheers, sz. -- Szymon Drobniak || Population Ecology Group *Institute of Environmental Sciences, Jagiellonian University

Hi, I have a matrix: [,1] [,2] [1,] 11 31 [2,] 44 50 [3,] 23 100 [4,] 90 31 I use plot to draw the four points. Is there any way to label the point? for insatnce, for (11,31), it is "1", for (44,50), it is "4". Thanks! --------------------------------- [[alternative HTML version deleted]]

Hi, I'm trying to plot some data (z) that is linked to lat&long coordinates (x&y). These coordinates are not however on a regular grid. I also have some shapefiles on which I would like to overlay the data. I can plot the shapefiles (country/city outlines) and overplot the data, but only using quilt.plot because I otherwise always get the error message that 'Error in

Dear R Users, I am trying to plot a barchart with a line graph superimposed (using par(new=TRUE)). There are 12 bars and 12 corresponding points for the line graph. This is fine, except that I'm encountering two problems: 1) The position of the points (of the line graph) are not centred on the middle (horizontally) of each corresponding bar. In fact, whilst the first point is located on the

Dear R-helper, I want to plot the following-like data: x y 1 1 1 1 1 2 1 3 1 3 1 4 ...... In the plot that produced, I don't want to show the usual circles or points. Instead, I want to show the number of replicates at that point. e.g. at the position of (1,1), there are 2 obsevations, so a number '2' will be displayed in the plot. Is my narrative clear? Is there a way to make the

I would like to query an existing plot to learn the actual x and y limits of the plottable area. Is this possible? I can discover the extreme tick mark locations but not the actual plot area limits. Setting the limits with ylim will not help in this case because I am overplotting an existing plot with a separate function, and I don't want my end-user to have to pass parameters around.

Dear R Community: Recently, I have managed to plot some really useful graphs of my research data using persp(). I have even figured out how to overplot rectangular regions (corresponding to submatrices) with a different color. This is accomplished by using par(new=T). I am now searching for a way to "highlight" a set of (possibly non-contiguous) facets with a specific color,