[R] Thousand separator in format of axis

Hi: How can i make that the numbers in the tick annotations of an axis be written as, say 20 000 and not 2 (i.e. with the little gap seprating thousands)? Thanks Ruben __ R-help@stat.math.ethz.ch mailing list

Re: [R] Extracting mean level of factor for all levels from a glm

ComRades: I have a glm where interest lies in the estimated mean levels of the response Y for every level of factor Year (regardeless of statistical significance of the factor), when the effect of other factors have been accounted for. The model is of the form:

[R] Extracting mean level of factor for all levels from a glm

ComRades: I have a glm where interest lies in the estimated mean levels of the response Y for every level of factor Year (regardeless of statistical significance of the factor), when the effect of other factors have been accounted for. The model is of the form:

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Berton Gunter Sent: 06 April 2006 14:22 To: 'r user'; 'rhelp' Subject: Re: [R] pros and cons of robust regression? (i.e. rlm vs lm) There is a **Huge** literature on robust regression, including many books

Re: [R] Nested AIC

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Aaron MacNeil Sent: 20 February 2006 15:17 To: r-help@stat.math.ethz.ch Subject: [R] Nested AIC Greetings, I have recently come into some confusion over weather or not AIC results for comparing among

Re: [R] Question about fitting power

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Ana Quitério Sent: Wednesday, January 25, 2006 3:33 PM To: r-help@stat.math.ethz.ch Subject: [R] Question about fitting power From: Ana Quitério Hi R users I'm trying to fit a model

Re: [R] help with gepRglm::likfit.glsm

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of ernesto Sent: Friday, January 13, 2006 9:25 AM To: Mailing List R Subject: [R] help with gepRglm::likfit.glsm Hi, I'm exploring likfit.glsm and I need some help. I have to say that I'm not an

Re: [R] A comment about R:

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of David Forrest Sent: Tuesday, January 03, 2006 6:16 PM To: Gabor Grothendieck Cc: Thomas Lumley; R-help@stat.math.ethz.ch; Patrick Burns; Peter Dalgaard Subject: Re: [R] A comment about R: On

[R] How to draw partial grid in plot for spatial-binomial experiment?

DeaR comRades: I have a 2D spatial binomial process as shown in the data and code below. I am plotting the number of trials and the number of successes in the spatial binomial experiments and would like to draw the spatial cells were the trials and successes were counted, i.e. a partial grid in

Re: [R] Standard Error

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Mark Miller Sent: Thursday, November 17, 2005 10:16 AM To: r-help@stat.math.ethz.ch Subject: [R] Standard Error I have worked out that when I fit data I get an estimate and a standard error,

Re: [R] Robust Non-linear Regression

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Vermeiren, Hans [VRCBE] Sent: Sunday, November 13, 2005 7:48 PM To: 'r-help@stat.math.ethz.ch' Subject: [R] Robust Non-linear Regression Hi, I'm trying to use Robust non-linear regression

Re: [R] How to find statistics like that.

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Adaikalavan Ramasamy Sent: Thursday, November 10, 2005 10:31 AM To: Duncan Murdoch Cc: r-help@stat.math.ethz.ch Subject: Re: [R] How to find statistics like that. If my usage is wrong please

Re: [R] How to find statistics like that.

-Original Message- From: Mike Miller [SMTP:[EMAIL PROTECTED] Sent: Thursday, November 10, 2005 12:32 PM To: Ruben Roa Cc: [EMAIL PROTECTED]; Duncan Murdoch; r-help@stat.math.ethz.ch Subject: Re: [R] How to find statistics like that. On Thu, 10 Nov 2005, Ruben Roa wrote

Re: [R] Variograms and large distances

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Julian Burgos Sent: Tuesday, November 08, 2005 10:41 PM To: r-help@stat.math.ethz.ch Subject: [R] Variograms and large distances Hello R list, I need to compute empirical variograms using data

Re: [R] symbolic math

-Original Message- From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Giannitrapani, Marco GSUK-GSSC Sent: Wednesday, October 26, 2005 7:56 AM To: r-help@stat.math.ethz.ch Subject: [R] symbolic math Hi all! Does anyone knows if it exists a symbolic math

Re: [R] model selection vs. H0 based testing

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Thomas Petzoldt Sent: 06 September 2005 06:34 Cc: [EMAIL PROTECTED]; R-Help Subject: Re: [R] model selection vs. H0 based testing Hello, I wish to thank Douglas Bates very much for clarification

Re: [R] Multivariate Skew Normal distribution

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Caio Lucidius Naberezny Azevedo Sent: 01 September 2005 12:09 To: Help mailing list - R Subject: [R] Multivariate Skew Normal distribution Hi all, Could anyone tell me if there is any package (or

[R] Multiple series plot with different 'type' argument

Hi: I need to plot two time series in the same plot and they cover the same time range and have the same frequency. With RSiteSearch(multiple series plot) i found this post by Gabor Grothendieck: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/42281.html Exactly what i need except for one

Re: [R] heatmap color distribution

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Jacob Michaelson Sent: 21 July 2005 12:26 To: r-help@stat.math.ethz.ch Subject: [R] heatmap color distribution Hi all, I've got a set of gene expression data, and I'm plotting several heatmaps

Re: [R] analysing non-normal spatially autocorrelated data

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Carsten Dormann Sent: 20 July 2005 05:41 To: r-help@stat.math.ethz.ch Subject: [R] analysing non-normal spatially autocorrelated data Dear fellow R-users, I wish to analyse a lattice of

Re: [R] Where's iris?

-Original Message- From: Gabor Grothendieck [mailto:[EMAIL PROTECTED] Sent: 13 July 2005 20:30 To: Ruben Roa Cc: R-help@stat.math.ethz.ch Subject: Re: [R] Where's iris? On 7/13/05, Ruben Roa [EMAIL PROTECTED] wrote: Hi: Where is the iris data set actually located in the R

Re: [R] nlme, MASS and geoRglm for spatial autocorrelation?

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Beale, Colin Sent: 13 July 2005 10:15 To: Prof Brian Ripley Cc: r-help@stat.math.ethz.ch Subject: Re: [R] nlme, MASS and geoRglm for spatial autocorrelation? My data are indeed bernoulli and not

[R] Where's iris?

Hi: Where is the iris data set actually located in the R 2.1.0 folder (under W XP)? Is it a text file or it is a binary file? Ruben __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide!

Re: [R] Generalized Linear Mixed Models

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of [EMAIL PROTECTED] Sent: 29 June 2005 18:05 To: r-help@stat.math.ethz.ch Subject: [R] Generalized Linear Mixed Models Hello! I am trying to fit a Generalized Linear Mixed Model, ordinally I use

Re: [R] how 'stepAIC' selects?

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Bkony Veronika Sent: 18 June 2005 14:00 To: r-help@stat.math.ethz.ch Subject: [R] how 'stepAIC' selects? Dear all, Could anyone please tell me how 'step' or 'stepAIC' works? Does it simply select

RE: [R] krig.image help

-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Mike J Smith Sent: 09 June 2005 09:58 To: r-help@stat.math.ethz.ch Subject: [R] krig.image help Hi I have recently been experimenting with the use of kriging, primarily through Goldensoftware's

[R] Random/systematic selection of rows in a matrix

Hi R people: I am new to R. I am writing a function to (1) produce a sparse stochastic Gaussian 2D field and (2) perform a systematic transect sampling on this field, this carried out many times in a simulation framework. My function does a good job at producing the random field (a matrix of