search for: triplot

...display = "wa") ordiplot(rdawal, type = "p") plot(fit, col = "red", add = TRUE, scaling = 2) Is there not a way I can tell R to plot both environmental and species scores as arrows/vectors? Thanks -- View this message in context: http://r.789695.n4.nabble.com/RDA-Triplot-tp3055474p3055474.html Sent from the R help mailing list archive at Nabble.com.

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, Southampton European Way, Southampton SO14 3ZH, UK tel 023-8059-7743

Hi all, I am drawing a ternary graph. Everything is fine with both ternaryplot (package vcd) and triangle.plot (package ade4), but I want to present scales in neither percents nor from 0 to 1 (this is actually the only option I found in both functions). I want the scales to be in a natural scale (from 0 to k, k being the number of objects). Is it at all possible? (Descriptions of both functions

Is there any graphical frontend/secondary programm (freely availible for Windowsor Linux) which can be used with R to display the results of a principle component analysis in 3D space (rotatable!?)? It works with Spotfire, but is there any freely or cheaply availible programm? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I have 3 vectors: p1, p2, and p3. I would like each vector to be any possible value between 0 and 1 and p1 + p2 + p3 = 1. I want to graph these and I've thought about using scatterplot3d(). Here's what I have so far. library(scatterplot3d) p1 <- c(1,0,0,.5,.5,0,.5,.25,.25,.34,.33,.33,.8,.1,.1,.9,.05,.05) p2 <- c(0,1,0,.5,0,.5,.25,.5,.25,.33,.34,.33,.1,.8,.1,.05,.9,.05) p3 <-

Saludos a todos Estoy haciendo graficos de analisis de correspondencias canonicas y quisiera saber como encerrar mediante un circulo o elipse algunas muestras dentro del triplot del analisis de correspondencias (que son las que comparten caracteristicas similares segun mi analisis). Que funcion uso para eso? o dentro de la funcion "cca" existe algun argumento que me permita hacer eso? Gracias de antemano Gabriel Antonio Trujillo Paucar Estudiante de Biologia 997...

Pierre Legendre has developed a beta version of a new redundancy analysis package called RdaTest that is available on his web page at the Universit® de Montréal. The test example that is included with the package is based on the example provided in his book (Numerical Ecology, Chapter 11 (Legendre & Legendre 1998)) I have downloaded the package and am attempting to run it so that I might

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

Hi, I am trying to create a triangular plot to show the 'composition' of a set of items with three variables (historically the percent sand, silt and clay in soil). So far I have tried the 'soil texture triangle plot' in the package plotrix and the 'ternary or triangular plots' in the package cwhtool (cwhmisc). Both have strengths and weaknesses, but neither has a

Is there an R function that does canonical correspondence analysis. Can it be done using the VR function corresp()? If not, how hard it be to write R code to do it? I am a population biologist with long but patchy programming experience in C, Smalltalk, Java and other languages. Thanks, Patrick Foley patfoley at csus.edu

I am creating a timeline plot, but running into a problem in positions where the values to plot are too close together to print the text without overlap. The simplest way I can think of to solve this (although there may be other ways?) is to create a new numeric vector whose values are as close as possible to the original vector, but spread out to a given minimum difference. For example, take

Dear R-users, I have an outcome variable and I'm unsure about how to treat it. Any advice? I have spending data for each county in the state of California (N=58). Each county has been allocated money to spend on any one of the following four categories: A, B, C, and D. Each county may spend the money in any way they see fit. This also means that the county need not spend all the money that