similar to: Creating a list of all objects

Hello everybody After doing a MANOVA on a bunch of data, I want to be able to make some comment on the amount of variation in the data that is explained by the factor of interest. I want to say this in the following way: XX% of the data is explained by A. I can acheive something like what I want by doing the following: X <- structure(c(9, 6, 9, 3, 2, 7), .Dim = as.integer(c(3,

Gracias, Jorge le echo un vistazo al link y te digo algo Un saludo Date: Wed, 11 Mar 2015 16:22:11 +0100 Subject: Re: [R-es] Pregunta sobre Simplificación de Poligonales con R From: jayusor en gmail.com To: fjroar en hotmail.com CC: r-help-es en r-project.org Hola, Esto lo hice algún tiempo para no hacer tan pesado los dibujos, si buscar por "R simplify shp" encuentras cosas, por

I've encountered something that didn't arise using earlier versions of R (Linux). A dataframe is created and new columns added to it by doing calculations using apply with various functions on some of the original columns. It's somewhat too involved to give a toy example that's reproducible. However, the resulting phenemonon can be characterised by the following: Browse[1]>

[cc'ed back to r-help] I've started to take a look, and there's nothing immediately obvious about the problem with the fit (the warnings and errors are about a "non-positive-definite Hessian", which usually means an overfitted/poorly identified model) -- still working on whether there's a way to get more useful information. As it turns out, glmmADMB's default

Hello, I want to create a flexible code for the following example: In stead of using a different code for each n (as in my example below), I want to write a general code for every n (n from 1 to 10). I tried a lot of things, but I always got stuck with the number of subloops or witch closing the brackets. Any suggestions? Cheers, Peter Department of Mathematics and Statistics

Shifting from a v2 samba server to v3 - Read documentation and googled LOTS but can't seem to find the bits that apply to my simple(?) server with regards to groups. # rpm -qi samba Version : 3.0.28 Vendor: Red Hat, Inc. Release : 1.el5_2.1 Source RPM: samba-3.0.28-1.el5_2.1.src.rpm Samba on server (Red Hat Enterprise Linux 5.2) IS MOSTLY WORKING... home directories

I would like to do a logistic multiple regression on a binary variate, with what Genstat calls an offset, ie a regression variable with the coefficient constrained=1. I'm far from home and have Splus but not R here, but any information from either source would be very welcome. I'd hate to have to go back to using Genstat . . . Thanks, Ted. --------------- Dr E.A. (Ted) Catchpole

Hi, I am looking for a way to randomly extract a specified number of rows from a data frame. I was planning on binding a column of random numbers to the data frame and then sorting the data frame using this bound column. But I can't figure out how to use this column to sort the entire data frame so that the content of the rows remains together. Does anyone know how I can do this? Hints

Hi all, I would like to ask a question related to Kendall package. I ran Kendall (x,y) and saw the results. But I am not sure which tau values R reported. I have ties in my data set, so I want tau-b. Can anybody tell how Kendall package is calculating tau values? I have looked at the package PDF, but I could not find any useful information. As long as I see from the following link, there

I'll be teaching a graduate course on (the analysis of) experimental designs next year, using R. Does anyone know of a suitable textbook? (Venables and Ripley MASS Ch6 on Linear Models covers roughly the right material, but at a level that is way too difficult for my students.) Sorry if this has been asked before. I've looked through the archives and found Julian Faraway's book, but

There appears to be a bug in the R xfig() driver. When I run a simple example, eg > data(InsectSprays) > boxplot(count ~ spray, data = InsectSprays, col = "lightgray") the boxplot is fine. Doing the same thing after > xfig(file='test.fig') and then opening in Xfig (ver3.2 patchlevel 2) on my Linux box produces boxplots where the boxes, although correctly shaded in,

There appears to be a bug in the R xfig() driver. When I run a simple example, eg > data(InsectSprays) > boxplot(count ~ spray, data = InsectSprays, col = "lightgray") the boxplot is fine. Doing the same thing after > xfig(file='test.fig') and then opening in Xfig (ver3.2 patchlevel 2) on my Linux box produces boxplots where the boxes, although correctly shaded in,

Hello All, I've been getting an error using rsync that I've been trying to track down the cause of, but haven't been able to solve yet. When I try to connect to a remote rsync deamon, using a double colon address like 192.168.0.2::classes to copy files in either direction, I get this error after a timeout. @ERROR: chroot failed rsync: connection unexpectedly closed (128 bytes

I have a comma delimited text file in which many columns of numbers are also quoted and have commas as well as decimals. I was surprised to find read.csv() didn't import this seamlessly, even after messing around with the colClasses argument. I did find a solution to convert the character strings after reading them in, but wonder if there isn't a better one I overlooked. test =

Hola buenos días: ¿Conocéis un método para que dada alguna poligonal geográfica, pueda simplificar el números de puntos que forma el polígono de una forma razonable? La idea sería alguna función (o librería que pueda ayudar para tal caso) hecha en R donde metiendo un vector de coordenadas de una poligonal con los datos de longitud y latitud de cada uno de los registros, ofrezca otro vector con un

Hello! I am trying to duplicate the studentized bootstrap confidence interval calculations in boot.ci() without using boot.ci(). My w/o boot.ci() calculations are close to boot.ci() using the same object from implementation of boot(), but not quite the same (I think the differences are due to how quantiles are computed for z*). Through examining the boot.ci() code, I can see there is a call

Hi, If I have the follow situation: A dependent variable (i.e. number of insects) that is affected by an independent variable (i.e. rain). The problem is that the measure of rain affect the population in other moment. So there exit a lag between the rain and the number of insects. Exist in R any tool to find what is this lag? Explain better. Suppose that I have a linear relationship

I purely love that kind of crap. As if presentations meant anything, as if there aren't all kinds of scholarly work about theoretical perfect world algorithms and conceptual systems that will never be implemented and are as practical and effective as wings on a pig. Please. I'm reminded of the story about how, during the American Civil War, when the North had finally, after years of

First, let me join the chorus of praise for R. (Hey, isn't somebody going to analyse all these praise emails in some statistical way?) I'm writing to point out an error in the file permissions in the linux/redhat version. (I'm using R-base-1.0.0-1.i386.rpm, by the way.) The permissions in /usr/lib/R/doc/html aren't correct, since 'function.html' and

Hello Volker, Thank you for the reply. I've seen your name mentioned several times against this topic :-) >What effect do you have in mind exactly? Read/write is done >asynchronously these days without that module as long as the >build detected pthreads. This is the thing... it looks like the Debian packages (stable + back port) are built without the --with-aio-support (at least