similar to: Showing time progression on (triangle) plots

Scenario: Here I am working away in R. I've got results that prove global warming is anthropogenic and also the solution for producing limitless carbon-neutral energy from nuclear fusion. Its been a good day. So, I want to save my work. I don't want to overwrite my current .RData, so I save it to another file: save(file="prize.RData") # just need to email this to the Nobel

Hi everybody, Well, I really hoped that until now i know how to do a selection ..... but obviously i don't. So risking your laughing at me - here you go. I have a table with lots of vegetation data, and one column specifies in which region the data is. There are only 2 regions, region 1 and region 3. I want to select all data that belong to region 1 and after do some xtabs on it. If i do

Hello, I need to chenge axes orirentation in triangle plot. (function triangle.plot in ade4 package) I want to plot elasticities of some species in demographic triangle, where axes values commnly increace "clockwise". If some better imangination is needed, see http://www.open.ac.uk/science/biosci/personalpages/j.silvertown/pdfs/Silvertown%20et%20al.%201993.pdf I am sorry if I just

Suppose I have three numbers p1, p2, p3 with 0 <= p1,p2,p3 <= 1 and p1+p2+p3=1, and a function f=f(p1,p2,p3) = f(p1,p2,1-p1-p2). How to draw a contour plot of f() on the p1+p2+p3=1 plane, that is, an equilateral triangle? Functions triplot(), triangle.plot(), and ternaryplot() give only scatterplots, AFAICS -- Robin Hankin Uncertainty Analyst National Oceanography Centre,

Hello everybody, I'm a new member of this mailing-list. My name is Remi BEAUDOUIN, I'm student in an engeneering school in France (ENSEIRB, Bordeaux), major Data and Image Processing. I'm currently doing my last internship before graduating in Thales Airborne Systems. I'm working on video compression and I have to choose the best way to encode and to embed it on a DSP TMS320DM642

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Hi, With kernel 2.4 I was able to use equalize to send our outgoing packets to two different routers (our isp supports this setup), like this: ip route add default src ip.a.dd.rr equalize nexthop via <router1> weight 1 nexthop via <router2> weight 1 The two routes were used equally on a per packet basis, not per flow or per cached route, but per packet, each line has 800k upload

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Colin, If your propose is to create a ternary plot with points and vectors, I think easier do this with graphics based plots instead of trellis based plots. Although, with little work you can do with trellis too. I gave you a reproducible code to put an arrow in a ternary plot. I use the function locator() to extract coordinates. The code is the following

OK. (Note: I am ccing this to the list so that others can correct any mistakes, misunderstandings, or misstatements that I may make; and also give you more and better advice about how to proceed. For example, there may be environmental packages ( see the environmetrics task view, https://CRAN.R-project.org/view=Environmetrics) that already do everything you want from your data source that someone

Hi Has anyone tried to fit a thin plate spine to a triangular plot before? I'm having trouble working out a piece of code to make it possible with three axes. I have done it before with two axes. I've found a package I prefer that makes triangular plots (plotrix) using the triax.plot() function. An example of some data and the plot follows: graph.data<-data.frame(a=c(9,6.2,

Hi, Is anyone on the list familiar with an R implementation of Piper Diagrams? Example: http://faculty.uml.edu/nelson_eby/89.315/IMAGES/Figure%209-78.jpg I am thinking that two calls to triax.plot (plotrix) along with some kind of affine-transformed standard plot would do the trick. Not so sure about the final layout, or a nice generalized version for something like lattice. Cheers, Dylan

Two new packages have been added to CRAN. The first is a simple package which provides the standard functions for a triangle distribution (rtriangle, dtriangle, ptriangle, qtriangle). The second package generates and augments Latin Hypercube Samples. Functions for generating random and optimized designs are provided. I look forward hearing your feedback and improving the documentation!

Two new packages have been added to CRAN. The first is a simple package which provides the standard functions for a triangle distribution (rtriangle, dtriangle, ptriangle, qtriangle). The second package generates and augments Latin Hypercube Samples. Functions for generating random and optimized designs are provided. I look forward hearing your feedback and improving the documentation!

Dear all, mydata<-data.frame(x1=c(1,4,6),x2=c(3,1,2),x3=c(2,1,3)) cor(mydata) x1 x2 x3 x1 1.0000000 -0.5960396 0.3973597 x2 -0.5960396 1.0000000 0.5000000 x3 0.3973597 0.5000000 1.0000000 I wonder if it is possible to fill only lower triangle of this correlation matrix? Using 'dist' doesn't seem to be useful as it doesnt allow to convert this table

Hello, Looking to generate Pascal's triangle in R. How do I get started? Thanks, -- Matilda Gogos matildaelizabethv@gmail.com [[alternative HTML version deleted]]

so, is it safe to put canreinvite=yes on a 7960? on a 1750? on a spa-x000? an xten? how the heck do i find out other than the hard way? randy -- ps: pun intended

Hi, I want to compute the lower triangle of a square matrix (optionally, sans diagonal). With for() loops I can do something like this: ## 5 by 5 matrix rtn for (j in 1:5) { for (k in 1:j) { if (j != k) { ## optional rtn[j, k] <- my.func(j, k) } } } I'd like to do this with apply(). Is there some way I can do this kind of 'short-circuit'? Thanks, Mark Wilkinson

Hi.. I a have a symmetric matrix to plot . I would like to plot only the Upper triangle but with the diagonal as the Base of the rectangle. Is there an easy way to do it. Thanks. Harsh --------------------------------- [[alternative HTML version deleted]]

Sorry if this answer was already given, or if I miss the point, but did you have a look to "lowerTriangle" and "upperTriangle" functions in the "gdata" package ? # example # A<-matrix(rnorm(9),3,3) # B<-B<-matrix(NA,dim(A)[1],dim(A)[2]) # lowerTriangle(B)<-lowerTriangle(A) # upperTriangle(B)<-lowerTriangle(A) # diag(B)<-diag(A) Hope this helps,