similar to: hist2d() function in R?

Dear R users, I have two related questions about scoping and data encapsulation. One is fairly specific - I am looking at "scoping.R" which is used in demo(scoping) - it's an example of lexical scoping and encapsulation. Where is the 'total' stored? It is not an attribute in 'ross' or 'robert' however, functions like balance() have access to it. Is it more

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]]

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

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]]

Dear R users, I have a very simple question. What is the easiest way to recode data in one of the columns of a data frame and put it into a new column? For example, here is a simple data frame: var1 1 1 2 2 3 3 How do I add a new column to data - 'var2' in which I group values in 'var1', for example: var1 var2 1 1 4 2 2 4 3 3 5 It's got to

Hi R experts, I am looking for a simple error handling approach, whereby I could stop function execution with a customized error message. For example: for (i in 1:10) { if (i == 5) # I'd like to be able to stop right here with an error message I have complete control over } The problem with stop() is that I cannot control completely what gets printed to the terminal, even with

Dear R users, I have to catch a nasty bug and would appreciate any advice or help! I get a segfault (core dumped) that happens in one of my own functions. The problem is, it does not happen most of the time, only sometimes, so it's very hard to reproduce. Or it may run ok in interactive mode, but bug out in batch mode. Also, it tends to happen more on the slower of my 2 machines (PII 266),

Dear R experts, Can anyone running R on Linux share how they use the "Search Engine & Keywords" page of R documentation? I cannot do any javascript on this page, either searching for a term or following the keyword links. I tried Konqueror (3.0.4, with javascript globally enabled), Mozilla (1.1), and Galeon (1.2.5), but none of them do anything... Sorry, I don't know

Dear R users, I have a question on using weighted.mean() while aggregating a data frame. I have a data frame with columns Sub, Length and Slope: > x[1:5,] Sub Length Slope 1 2 351.547 0.0025284969 2 2 343.738 0.0025859390 3 1 696.659 0.0015948968 4 2 5442.338 0.0026132544 5 1 209.483 0.0005304225 and I would like to calculate the weighted.mean of Slope, using Length

Dear R experts, I am writing a multi-page PDF file and would like to put a header on each page. Is there a way to test a graphic device to see if a new page is started (so that I know when to write the header)? I could simply count the plots made (each page has the same number of plots), but wanted to see if a more general solution is available. Thank you, Aleksey -- Aleksey Naumov GIS

Dear R users, I wonder if there is a simple way to select a random and non-overlapping subset of a vector? Say, I need to randomly select 10 out of 100 numbers in a vector V. By "non-overlapping" I mean that a number in any position in V (V[1]...V[100]) should be selected at most once (i.e. selection without recycling). I could simplu use a uniform distribution to generate selection

Dear R and Sweave users, Is there a way to have optional sections in a Sweave-generated report document, complete with section header(s), text and code chunks? In other words, I'd like for my report to include or omit certain sections based on the data itself. For example, If I examine the input dataset early on in the report and set a variable has_daily_data = TRUE, then I'd like to

Dear List, I would like to plot a simple legend with two math expressions, e.g. plot(0) legend(1, 0.5, expression(sigma[i], sigma[j])) The difficulty is that i and j should be variables rather than strings "i" and "j". In other words I'd like to do something like: i = "A" j = "B" legend(1, 0.5, expression(sigma[i], sigma[j])) and have "A"

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

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

I'm looking for a plugin for Kate (or any other good text editor for linux) (KDE 3.x) which will highlight the R syntax. The link on www.r-project.org is dead! Any ideas?? Thanks Lars

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

Dear R and odfWeave users, I am looking for a way to automate generation of many reports using odfWeave. All reports would use the same input ODT file, the only difference would be in the name of the dataset which will be analyzed in any particular report. Right now, the name of the dataset is hardcoded in the first code chuck in the input file: <<01 get data, echo=TRUE>> station =

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