similar to: Diamond graphs

Some time ago I was allowed to discuss "Diamond Graphs", and whether they would be useful in R, in this mailing list. The August 2003 issue of The American Statistician has finally arrived here and I have been able to read the article. A number of points of interest arise. 1. The article is "A Diamond-Shaped Equiponderant Graphical Display of the Effects of Two

Hi, I haven't found in R a possibility to draw a boxplot with a diamond shape (means and CI). Does anyone know how to plot it ? thanks,

Alvaro Munoz (Hopkins Epi) is patenting the "diamond graph". http://www.jhsph.edu/Press_Room/Press_Releases/Munoz_diamond_graph.html There is enough prior art (hexagonal binning, among others) to make this amusing, except that it probably will get a patent. It's a reasonable graphical technique, but patentable? best, -tony -- A.J. Rossini rossini at u.washington.edu

Message: 6 Date: Tue, 6 Aug 2013 10:46:19 -0400 From: Chad Rosier <chad.rosier at gmail.com<mailto:chad.rosier at gmail.com>> To: llvmdev <llvmdev at cs.uiuc.edu<mailto:llvmdev at cs.uiuc.edu>> Subject: [LLVMdev] Potential SimplifyCFG optimization; hammock to diamond transformation Message-ID: <CAMo3wbR6x1wBzb17=GrkERV7kvzx2RdpuheFzyxkQEs3BBvKaw at

I am looking to replicate the functionality of the JMP diamond plot in R. I have found the following enhancement and no other references(see below). I have tried to contact the author via email and I have had no luck. Does any know if this functionality exists in R? If it does not does anyone know how to contact the author of the enhancement request? "Hi, I experimented with a set of S

Dear all, I have a very small script to plot a function. Here it is: ########################################## sinca <- function(N,th) { return(sin((N+0.5)*th)/sin(0.5*th)) } plot_sinca <- function(N) { x <- seq(-5*pi,5*pi,by=pi/100) y <- rep(0,length=length(x)) for (i in 1:length(x))y[i] <- sinca(N,x[i]) plot(x,y,type="l",ylim=c(0,2*N+4)) return(c(x,y)) }

Talking about Excel, you can produce excellent graphs in Excel. Yes you have to work at it, but you can get there. The problem is that they are not the default. My gut feeling is that R will make more of an impact in the presentation of graphics than any implementation in Excel. So even if a patent were granted and it made itself into a mainstream package, would it change the world or would the

All, I have some code that looks like the following: { double a, b, c; for (...) { ... a = lots of FP math; b = lots of FP math; c = lots of FP math; if (cond) { a = 0.0; b = 0.1; c = 0.2; } ... } } Could we not convert the hammock into a diamond and move the initial computation of a, b, and c into the else block. Something like this: {

Suppose that I'm working on Hadley's diamond dataset and I want to review the relationship between price, colour and carat. I might run the following: library(ggplot2) #plot scatter and add some hex binning q<-qplot(carat,price,data=diamonds, geom=c("hex"), main="Variability of Diamond Prices by Carat and Colour") #facet to get one scatter for

Hi Chad, On Aug 6, 2013, at 7:46 AM, Chad Rosier <chad.rosier at gmail.com> wrote: > All, > I have some code that looks like the following: > > { > double a, b, c; > for (...) { > ... > a = lots of FP math; > b = lots of FP math; > c = lots of FP math; > if (cond) { > a = 0.0; > b = 0.1; > c = 0.2; >

Hi, Here are three plots: library(ggplot2) data(diamonds) randind <- sample(nrow(diamonds),1000,replace=FALSE) dsmall <- diamonds[randind,] qplot(carat, data=dsmall, geom="histogram",binwidth=1) qplot(carat, data=dsmall, geom="histogram",binwidth=.1) qplot(carat, data=dsmall, geom="histogram",binwidth=.01) What are ways to put these three plots on a single

Thanks, Mark. I will give the paper a look. On Tue, Aug 6, 2013 at 1:42 PM, Mark Lacey <mark.lacey at apple.com> wrote: > Hi Chad, > > On Aug 6, 2013, at 7:46 AM, Chad Rosier <chad.rosier at gmail.com> wrote: > > > All, > > I have some code that looks like the following: > > > > { > > double a, b, c; > > for (...) { > >

Hi Everyone, I have a dataset like this mean sd 0% 25% 50% 75% 100% n BODY TEMPERATURE 36.41099 0.4015699 35.1 36.22222 36.5 36.66667 37.1 89 DIASTOLIC BLOOD PRESSURE 73.60079 9.4656186 50.0 67.00000 73.0 80.00000 95.0 253 HEIGHT 171.94000 9.2011670 153.5 166.50000 173.0 176.25000 190.0

I am interested in creating a boxplot using ggplot or qplot where I can specify the order of the categories being plotted on the x-axis. For example, the following command plots the categories (diamond color) in alphabetic order (D, E, ..., J): qplot(color, price/carat, data=diamonds, geom="boxplot") I want to know how I can modify this command so that the categories are plotted in a

The specific code I'm looking at does not have any function calls. The "lots of FP math" is just a series of FP addition, subtraction and division. On Tue, Aug 6, 2013 at 11:03 AM, David Tweed <david.tweed at arm.com> wrote: > Hi,**** > > ** ** > > I imagine this optimization is for FP math stuff that doesn't involve > functions which might set errno

Dear R community, I am creating large graphs with hundreds of thousands of datapoints. My usual way for output was pdf, but now I am getting file sizes of >30Mb that do not open well (or at all) in Adobe. Is there a way to reduce the resolution or get rid of overlaying datapoints? Any other idea is also warmly welcome! Thank you and wishing you a good day! Georg. **********************

Dear R community, I would be greatful if somebody could shed light on the following. I have created a set of 6 points to check how centroid agglomeration works in cluster analysis: > Y <- data.frame(x=c(-1,1,1,-1,10,12),y=c(1,1,-1,-1,0,0)) It is quite intuitive to understand that the last clusters to be joined will be {1,2,3,4} with {5,6}. Now, the centroid for the first cluster has

Dear R gurus and users, I seem to have problem finding the right tool for plotting convex hulls over 2D plots, after a cluster analysis. In fact I would like to draw a convex hull in 2D for a generic group of points. I found a "convhulln", but this doesn't seem to give me a convex hull. Here is what I do: > library(mvtnorm) > Mean <- c(2,1) > Sigma <-

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Dear R developers, I have a new class, which I called "Molecule", and have tried to define = a "+" operation for 2 objects of this class. This is what I have written so far, although the method is not complete = (I'm trying to look at it at intermediate stages): setMethod( f=3D"+", signature(x=3D"Molecule",y=3D"Molecule"),