similar to: panel.levelplot() for 2D histograms

Hi, I'm trying to use Robust non-linear regression to fit dose response curves. Maybe I didnt look good enough, but I dind't find robust methods for NON linear regression implemented in R. A method that looked good to me but is unfortunately not (yet) implemented in R is described in http://www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm

Hello, I have created two histograms with: hist2d(gps2, nbins=200, col = c("white",heat.colors(16))) Both of them have the same range and the same number of bins. Now I would like to compare them bin by bin and plot the results. Could someone please tell me how to do that. I searched the man pages and the web, but couldn't find anything. Thank you very much. Phil

Dear R users, I am just starting with R (v. 1.0.0) and I use Vehables & Ripley's MASS book for examples. In the intro session, there is an example of a 2D histogram on an 8x8 grid: x <- rnorm(1000) y <- rnorm(1000) contour(hist2d(x,y,,,8,8)) R complains: Error in contour(hist2d(x, y, , , 8, 8)) : couldn't find function "hist2d" I looked for hist2d() in the

Hi all, I would like to plot one data set as a 2d histogram and another one as a contour. I can do it separately with the "hist2d" and "contour" functions, but I wonder if there is a way to combine these two plots into a single one (the ranges of the two plots are the same). Any suggestions? Thanks, Anna [[alternative HTML version deleted]]

I'd like to use the hist2d function. What library contains it? Thanks! Simon Firestone Economist, Fair Lending Enforcement Division of Consumer and Community Affairs Federal Reserve Board Washington, DC 20551 simon.b.firestone@frb.gov (202) 785-6056 [[alternative HTML version deleted]]

I am plotting a heatmap using the hist2d function: require("gplots") x <- rnorm(2000) y <- rnorm(2000) hist2d(x, y, freq=TRUE, nbins=50, col = c("white",heat.colors(256))) However, I would like to flip the vertical y axis so that the upper left corner serves as the y-origin. How can I do that? Ralf

I created a 2d histogram using gplots' hist2d: hist2d(x,y, freq=TRUE, nbins=50, col = c("white",heat.colors(256))) rug(x, side=1) rug(y, side=2) box() Now I would like to reverse the Y-axis, tried to use ylim=rev(range(1:400)) but seems not to work. Any ideas? Ralf

Hi everyone, I hope this question is beyond "read the manual". My task is simple, just to plot the following, but the plot in the middle should be a filled.contour plot: http://gallery.r-enthusiasts.com/graph/Scatterplot_with_marginal_histograms_78 Background: I prefer filled.contour rather than hist2d. Because, I could use kernel smooth, so the plot for discrete data won't be too

The following code produces a heatmap based on normalized data. I would like to mirror x and y axis for this plot. Any idea how to do that? require("gplots") x <- rnorm(500) y <- rnorm(500) hist2d(x, y, freq=TRUE, nbins=50, col = c("white",heat.colors(256))) Best, Ralf

Hello R-Users! Does anyone know of a package to draw/analyze silicon wafer maps? Here are some examples http://www.java2s.com/Code/Java/Chart/JFreeChartWaferMapChartDemo.htm http://dp.pdf.com/site/products/wafermap/binmap.html I've google'd and searched CRAN with no luck. It seems possible for R, given the hexbin and hist2d graphs I saw at the Graph gallery.

I am having difficulty installing packages. For example, here I have tried to install "gplots" but to no avail. I have tried multiple mirrors and different packages (errbar) but after installation I seem to be unable to access any of the commands or help pages. I am a little concerned about the 'lib' missing message but this has been present for previous successful package

I discover last week the R software statistics programm, I have a small questions, When we generate a bivariate normal distribution is it possible to plot the generate distribution. The second one if there is a code to generate a bivariate student distribution. If yes i would ask you gratefully a help. Thank you very much

Version 0.6.0 of the gregmisc package has just been released on CRAN. Description: =========== Package: gregmisc Description: Misc Functions written/maintained by Gregory R. Warnes Title: Greg's Miscellaneous Functions Version: 0.6.0 Date: 2002/09/23 Maintainer: Gregory R. Warnes <Gregory_R_Warnes at groton.pfizer.com> Author: Gregory R. Warnes. Includes code provided by Ben

Version 0.6.0 of the gregmisc package has just been released on CRAN. Description: =========== Package: gregmisc Description: Misc Functions written/maintained by Gregory R. Warnes Title: Greg's Miscellaneous Functions Version: 0.6.0 Date: 2002/09/23 Maintainer: Gregory R. Warnes <Gregory_R_Warnes at groton.pfizer.com> Author: Gregory R. Warnes. Includes code provided by Ben

Hello, We use drc to fit dose-response curves, recently we discovered that there are quite different standard error values returned for the same dataset depending on the drc-version / R-version that was used (not clear which factor is important) On R 2.9.0 using drc_1.6-3 we get an IC50 of 1.27447 and a standard error on the IC50 of 0.43540 Whereas on R 2.7.0 using drc_1.4-2 the IC50 is

Dear Greg, Thanks for the new release. The decomposition of the SSQ is just what I need! Regards, Martin. Martin Hoyle, School of Life and Environmental Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK Webpage: http://myprofile.cos.com/martinhoyle >>> gregory_r_warnes at groton.pfizer.com 10/30/02 07:16PM >>> Version 0.7.3 of the gregmisc package

Hello, I have a classification tree. I want to obtain a ROC curve for this test. What is the easiest way to obtain one? -Anjali --------------------------------- [[alternative HTML version deleted]]

Greetings, I have two matrices, read in from raster data stored in GRASS. Each matrix represents the output of a aggregation process on categorical data (Nomial / Ordinal) - derived from imagery. I have compared these two data by the following methods: ***** pretending the data is continuous approaches (flawed i am sure...) 1. computing a difference map by computing the absolute difference

Hi ! I want to find the surface the interpolates a 2D histogram, that I have generated with hist2d. I don't want to make a fit, but simply an interpolation. Which function have I to use to do this ? Thanks in advance. Paola. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Announcing gplots 2.5.0 --------------------------------- gplots provides additional plotting functions, including several enhanced versions of base R functions. Provided functions include: balloonplot, bandplot, barplot2, boxplot.n, colorpanel, heatmap.2, hist2d, lowess, ooplot, overplot, plot.lm2, plotCI, plotmeans, qqnorm.aov, residplot, rich.color, sinkplot, smartlegend, space,