similar to: Random data

I wish to generate a vector of uniformly distributed data with a defined correlation to another vector The only function I have been able to find doing something similar is corgen from the library ecodist. The following code generates data with the desired correlation to the vector x but the resulting vector y is normal and not uniform distributed library(ecodist) x <- runif(10^5) y

Hi!! I am trying to generate data with specific correlation using corgen method from the ecodist package. It does not seem to generate the data properly. I am listing the code below. Secondly, when I put the code given below all in one file and source it, it is unable to complete the task. But when I execute it one at a time it is able to complete it. Can someone point out any mistake that I may

My question is based on an example provided in the following: Referencing: Statistics with R Vincent Zoonekynd <zoonek at math.jussieu.fr> 6th January 2007 URL: http://zoonek2.free.fr/UNIX/48_R/all.html data(HairEyeColor) a <- as.table( apply(HairEyeColor, c(1,2), sum) ) # Provided Example barplot(a, beside = TRUE, legend.text = attr(a, "dimnames")$Hair) # I

Hi, I'm looking for a manual (we based or pdf) which would explain in detail with graphical examples what all the option can do in plot and par. Does anybody now anything like this? A couple of manuals to R I went through do have plot parameters mentioned, but sometimes it is hard to understand or imagine what the parameter can do (the same with the related help page) e.g. I met "From

Dear R users, I want to share my joy with you. Please see the following excellent introduction to R "Statistiques avec R " by Vincent Zoonekynd http://zoonek2.free.fr/UNIX/48_R/all.html In paticular, you can see a lot of fascinating graphics examples of R from which you can get many hints. Soryy if this is already well-known, but the CRAN search did not show nothing with the keyword

I need to create artificial datasets with specific correlation coefficients (i.e. a dataset that returns r = 0.30, etc.) as examples for a lab I am teaching this summer. Is there a way to do that in R? Thanks. Jim Milks Graduate Student Environmental Sciences Ph.D. Program 136 Biological Sciences Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435 [[alternative HTML version

Dears friends, I have been translating and extended, with educational porposes only, the available material in the www (http://zoonek2.free.fr/UNIX/48_R/all.html) "Statistcs avec R" for the Portuguese of Brazil. I consider the material very good and would like to share this work with anothers users R. Already I translated and I extended two chapters: Introduction to the R and analysis

Let's say I have data in the following schema that describes the number of purchases a company has received from each County in the US: State | County | Purchases --------------------------------------- NJ | Mercer | 550 CA | Orange | 23 .... I would like to visualize what states contribute the most to the overall total, and furthermore within those states, what Counties contribute the most.

The following code was adapted from an example Vincent Zoonekynd gave on his web site http://zoonek2.free.fr/UNIX/48_R/03.html: n <- 1000 x <- rnorm(n) qqnorm(x) qqline(x, col="red") op <- par(fig=c(.02,.5,.5,.98), new=TRUE) hist(x, probability=T, col="light blue", xlab="", ylab="", main="", axes=F) lines(density(x),

I've done a little snooping around the R Gallery Site (http://addictedtor.free.fr/graphiques/) and the "Statistics with R" site (http://zoonek2.free.fr/UNIX/48_R/all.html), but I can't seem to find what I'm looking for.  Here is the type of plot I would like to draw: (1) 2-D three axis plot where each axis is separated by 120-degrees (would be great if the number of axis

Dear R experts, I am trying to simulate correlated binary data and have stumbled upon the following problem: With the help of "binarySimCLF" or "mvpBinaryEp" I have been able to simulate correlating binary vectors given certain mean values and a desired correlation. My problem is that these procedures do not allow you to specify the exact vector for which you want to generate

Hi everyone. Based on a dependent variable (y), I'm trying to generate some independent variables with a specified correlation. For this there's no problems. However, I would like that have all my "regressors" to be orthogonal (i.e. no correlation among them. For example, y = x1 + x2 + x3 where the correlation between y x1 = 0.7, x2 = 0.4 and x3 = 0.8. However, x1, x2 and x3

Hi Jack: Based on what you wrote in your mail about your hypothesis, I recommend you "StatsRus" website by Prof Paul Johnson. It's an excellent collection of R code snippets, and a veritable online oyster containing pearls of his wisdom :). Here is the link: www.ku.edu/~pauljohn/R/Rtips.html This set of "R solutions" is focused on performances (action oriented

Hello wizaRds ! I am looking for a french and recent version of "An introduction to R". Does anybody know where i could find on of these. Thanks. -- Romain Fran??ois 25, avenue Guy Moquet 94 400 Vitry sur seine FRANCE _______________________ _______________________ francoisromain at free.fr 01 46 80 65 60 06 18 39 14 69

Hola, ¿cómo están? Soy estudiante de Ing. en Sistemas de Información y estoy cursando la materia Tecnologías para la Explotación de Datos. Me he decidido a usar R para hacer DM. Estoy recién comenzando con ambos. El asunto es que no he encontrado la implementación en R de uno de los algoritmos que dimos para árboles de decisión, ID3. Ya revisé varios de los paquetes para DM

Hola: ¿Existe alguna forma de obtener el valor numérico de los intervalos de confianza en una autocorrelación? O, por el contrario, ¿tengo que calcularlos «a mano»? (Llevo ya un rato buscando y nada.) Gracias por adelantado. Salud y Revolución. Lobo. -- Libertad es poder elegir en cualquier momento. Ahora yo elijo GNU/Linux, para no atar mis manos con las cadenas del soft propietario.

Hi, I've been looking for Image Processing packages. Thresholding, Edge Filters, Dct, Segmentation, Restoration. I'm aware, that Octave, Matlab etc. would be a good address but then I'm missing the "statistical power" of R. Does anybody know of packages, projects etc. Comments on wether the use of R for such matters is useful are welcome. Greetings Thomas Kaliwe

I would like to perform partial mantel tests on only within group values, with "between group" values assigned to NA. This is possible in package ncf partial.mantel.test, however this sues a different permutation to that used in ecodist.ecodist will not accept data with NA values, returning a "matrix is not square error. is it possible to perform this test in ecodist? many thanks

Hello, I am learning how to use R, and I cannot figure out how to plot more than one data set on a single plot. Can you help me out? Cheers, Mark -- Mark Sessing CIMMS Research Fellow Meteorologist NWS Warning Decision Training Branch 3200 Marshall Ave Ste. 202 Norman, OK 73072 Phone: 405-573-3332 Fax: 405-573-3462 Mark.L.Sessing at noaa.gov

About six months ago there was a reference to a site (in french) that did a spectacular job of demonstrating R's graphical capabilities. My bookmarks were recently wiped and I cannot find this site despite my best googling. Anyone have the address which I have done a miserable job describing? Thanks. Michaell