similar to: Request for help (reference details)

My name is Michela Marignani and I'm an ecologist trying to solve a problem linked to knight' s tour algorithm. I need a program to create random matrices with presence/absence (i.e. 1,0 values), with defined colums and rows sums, to create null models for statistical comparison of species distribution phenomena. I've seen on the web many solutions of the problem, but none provides

'Freedman' is misspelled (as 'Friedman') in src/library/graphics/man/hist.Rd. As a result, the help page currently implies that breaks = "Fried" is a valid argument to hist, but results in an error: > hist(rnorm(100), breaks = "Fried") Error in match.arg(tolower(breaks), c("sturges", "fd", "freedman-diaconis", :

On Wed, 24 May 2017 14:02:49 +0200 (CEST) Daniele Bernazzi <daniele at ao-siena.toscana.it> wrote: > > > ----- Messaggio originale ----- > > Da: "Rowland Penny" <rpenny at samba.org> > > A: samba at lists.samba.org > > Cc: "Daniele Bernazzi" <daniele at ao-siena.toscana.it> > > Inviato: Mercoledì, 24 maggio 2017 13:12:07

Thanks very much, Professor Ripley. Reid Huntsinger -----Original Message----- From: ripley at stats.ox.ac.uk [mailto:ripley at stats.ox.ac.uk] Sent: Tuesday, August 06, 2002 3:00 AM To: Huntsinger, Reid Cc: r-help at stat.math.ethz.ch Subject: Re: [R] pipe and binary i/o (on Linux) On Mon, 5 Aug 2002 ripley at stats.ox.ac.uk wrote: > pipe predates readBin, and no one has seen a

Hello, I write to know how can I modify the x axis : when I plot a survival object, R plots a graph with x values = 0, 10, 20, 30 while I want a graph with values 0, 6, 12, 18, 24 in the x axis. How can I do this? In R 2.1.1 version there was "time.inc" in survplot, but in version R 2.2.0 there isn't it! I am sorry for my english and I hope that you understand my problem. Thank you

----- Messaggio originale ----- > Da: "Rowland Penny" <rpenny at samba.org> > A: samba at lists.samba.org > Cc: "Daniele Bernazzi" <daniele at ao-siena.toscana.it> > Inviato: Mercoledì, 24 maggio 2017 13:12:07 > Oggetto: Re: [Samba] samba 4 in AD 2008R2 without winbind > > On Wed, 24 May 2017 12:54:48 +0200 (CEST) > Daniele Bernazzi

Duncan Murdoch wrote: > Huntsinger, Reid wrote: > >>Sorry, I was looking at 2.0.1 when I meant to be looking at 2.1.0. The line >>numbers for the latter are 161-179 and line 164 is the one with what I think >>is a typo. >> >>Reid Huntsinger >> >>-----Original Message----- >>From: r-devel-bounces@stat.math.ethz.ch

It's generally said that OM needs lots more swap than plain Linux. There has to be someplace to juggle processes around. We use 4 GB nodes with something like 12 GB swap; that plus round-robin logins to distribute home nodes seemed to solve a lot of our problems. To use oMFS to allow processes to write from the node they've migrated to you also need DFSA enabled. That sounds like a great

Dear list members, I'd like to perform a glm analysis with a hierarchically nested design. In particular, I have one fixed factor ("Land Use Classes") with three levels and a random factor ("quadrat") nested within Land Use Classes with different levels per classes (class artificial = 1 quadrat; class crops = 67 quadrats; and class seminatural = 30 quadrats). I have four

> Da: "Rowland Penny" <rpenny at samba.org> > A: samba at lists.samba.org > Cc: "Daniele Bernazzi" <daniele at ao-siena.toscana.it> > Inviato: Mercoledì, 24 maggio 2017 12:45:56 > Oggetto: Re: [Samba] samba 4 in AD 2008R2 without winbind > > On Wed, 24 May 2017 12:08:09 +0200 (CEST) > Daniele Bernazzi <daniele at ao-siena.toscana.it>

Dear list members, First of all thank you for your helpful advices. After your answeres to my firt mail I studied a lot (R-News n?5) and I tried to perform my analysis: First, to fit a GLM with a nested design I decided to use the function "lmer" in package "lme4" as suggested by Spencer Graves and Filippo Piro. I remember you that my data were: land use classes, 3 levels

Dear list, i'm a new R user, so I apologize if the topic is already being addressed by some other user. I'm trying to determine if the reproductive success of a species of bird is related to a list of covariates. These are the covariates: ? elev: elevation of nest (meters) ? seadist: distance from the sea (meters) ? meanterranova: records of temperature ? minpengS1: records

Dear list members, First of all thank you for your helpful advices. After your answeres to my firt mail I studied a lot (R-News n?5) and I tried to perform my analysis: First, to fit a GLM with a nested design I decided to use the function "lmer" in package "lme4" as suggested by Spencer Graves and Filippo Piro. I remember to you that my data were: land use classes, 3 levels

IEEE International Conference on Cluster Computing September 8-11, 2015 Chicago, IL, USA https://press3.mcs.anl.gov/ieeecluster2015/ ---------------------------------------------- ...Follow us on Facebook athttps://www.facebook.com/ieee.cluster ...Follow us on Twitter athttps://twitter.com/IEEECluster ...Follow us on Linkedin at

IEEE International Conference on Cluster Computing September 8-11, 2015 Chicago, IL, USA https://press3.mcs.anl.gov/ieeecluster2015/ ---------------------------------------------- ...Follow us on Facebook athttps://www.facebook.com/ieee.cluster ...Follow us on Twitter athttps://twitter.com/IEEECluster ...Follow us on Linkedin at

Dear list members, I have a data.frame so shaped: Sector Quadrants Plot Sic Time Species1 Species2 Species3 .. Species-n 1 1 1 1 5 0 0 1 . 0 2 1 1 1 12 1 1 1 . 0 3 1 1 1 34 0 1 0 . 0 4 1 1 1 23 1 1 0 . 0 5 2 1 1 22 1 1 1 . 1 6 2 1 1 10 1 1 1 . 1 7 2 1 1 2 1 0 0 . 0 8 2 1 1 2 0 0 1 . 0 9 3 1 1 12 0 0 0 . 1 . . . . . . . . . .

Dear R users, I am a mathematics postdoc at UC Berkeley. I have written a package in a Computational Algebra System named Singular http://www.singular.uni-kl.de to compute the Maximum Likelihood of a given probability distribution over several discrete random variables. This package gives exact answers to the problem. But more importantly, it gives All MLE solutions. My understanding is that

Dear R-Users, I have a model with a latent variable for a spatio-temporal process. I would like to use EM algorithm to estimate the parameters. Does anybody know how to implement the algorithm in R? Thank you very much in advance, Michela

Hi, I have just put the source code (and a zip file for Window$ users) of package DCluster in my website: http://matheron.estadi.uv.es/~virgil/Rpackages/DCluster/ DCluster is a package that contains routines for the detection of spatial clusters of diseases (Openshaw's GAM, Besag and Newell, Kulldorff and Nagarwalla, Stone's Test and others). A full description can be found here:

Dear R users, I am glad to announce the release of a new package for R: DCluster. It implements a number of methods for the detection of clusters of disease. It includes methods to test Poisson extra-variation (Chi-square test and Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and Geary's c), general clustering (Whittermore's statistic and Tango's