search for: jcgs

Displaying 20 results from an estimated 23 matches for "jcgs".

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2010 Apr 15
3
Exporting an rgl graph
Hi the list, I use rgl to produce a 3D graph. I would like to "show" this graph to some collaborator. Is there a way to save it and send it to someone else? Christophe Genolini
1997 Apr 30
1
R-beta: Re: S Compatibility
Bill Venables writes: > Are the scoping differences between R and S set out precisely and > definitively somewhere? This would be useful. In the source code perhaps? :-) You can find a pretty precise description in the article Robert and I did in JCGS. Actually its pretty simple. Functions have access to the variables which were in effect when the function was defined. f <- function(x) { g <- function() { x * x } g() } The body of g has access to "x" even though it is not global and not passed as an argument. Pass...
2002 Jan 27
2
Journal of Statistical Software
JSS, which is at http://www.jstatsoft.org, publishes statistical software with manuals, as well as papers describing, comparing, and evaluating statistical software. Abstracts of all contributions accepted in JSS are published in printed form in JCGS. Although we publish software written in any language, we especially welcome software written in R. The general idea is that packages written in R can be documented in both "R News" and in JSS, but that generally the description in JSS will be more extensive and more seriously peer-rev...
2002 Jan 27
2
Journal of Statistical Software
JSS, which is at http://www.jstatsoft.org, publishes statistical software with manuals, as well as papers describing, comparing, and evaluating statistical software. Abstracts of all contributions accepted in JSS are published in printed form in JCGS. Although we publish software written in any language, we especially welcome software written in R. The general idea is that packages written in R can be documented in both "R News" and in JSS, but that generally the description in JSS will be more extensive and more seriously peer-rev...
2010 Jul 07
4
Gray level mosaic plot with shading_Friendly
Suppose we start with data("Titanic") mosaic(Titanic, shade = TRUE) How do I combine the dashed box contours of shading_Friendly to indicate negative residuals, with three levels of gray: dark for abs(Pearson Resid) > 4, lighter for 4 > abs(Pearson Resid) > 2, and lightest for bs(Pearson Resid) < 2 ? Thanks, Michael ______________________________________________
2002 Aug 06
1
Questions about lexical scope
Dear R-users, The numerical integration example given in Gentleman and Ihaka (2000), "Lexical Scope and Statistical Computing," JCGS, 9, 491-508, is very interesting and helpful in understanding how lexical scope is about. However, I got some questions that I just can't figure out. First all, allow me to copy the two functions given by the authors: midpoint <- function(f, a, b, n=100) { h <- (b - a)/n (b - a)...
2002 Aug 18
1
LispStat, R and ViSta [was: Re: Status?]
...lysis. As a result, the most significant uses of LispStat have been statistical systems such as Arc and ViSta. In the work I've done with LispStat, ViSta's spreadplot architecture is the best example of LispStat being used to implement a statistical (sub)system (described in a forthcoming JCGS paper by myself, Pedro Valero, Richard Faldowski and Carla Bann). The weaknesses of LispStat are: 1) No high-level analysis modules 2) No standards for data sets, models, etc. 3) No user-oriented data manipulation language 4) Totally inadequate documentation 5) Poor or non-existant printing 6) N...
2002 May 23
1
references for qqnorm
Dear R People: On the functions qqnorm and qqline, (found in the base package), what are the references, please? This is R for Windows, Version 1.4.1. Thank you so much! Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown 1 Main Street Houston, TX 77002 mailto: hodgess at uhddx01.dt.uh.edu
2003 May 21
1
Publication/Reference
Dear List, this may be a little off-topic, but I failed to obtain the "mother of R"-reference through a couple of library services... Maybe someone can provide me with a PDF? Ross Ihaka and Robert Gentleman. R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5(3):299-314, 1996 Helmut Schuetz Biokinet GmbH A-1170 Vienna Tel +43(0)1
2004 Jul 14
0
Convex smoothing via 'Iterative Convex Minorant' ?
...year = "1998", CODEN = "????", ISSN = "1061-8600", MRclass = "62G05", MRnumber = "1 646 718", bibdate = "Sat Jan 2 17:33:21 MST 1999", URL = "http://www.amstat.org/publications/jcgs/abstracts98/jongbloed.html", acknowledgement = ack-nhfb, } ------ I know about Roger Koenker and Pin Ng's very interesting "nprq" package (and its earlier version "cobs") where one can fit splines with convexity constraints. At the moment however, we are specifica...
2004 Jul 29
0
R and the Journal of Statistical Software
http://www.jstatsoft.org JSS is now up to Volume 11. This year is the first multi-volume year, with three volumes so far. JSS now has its own ISSN number and its own CODEC. A JSS LaTeX format will become available soon. JSS is aiming to become an (electronic) ASA journal, independent of JCGS, soon. It's contents, including back issues, will also soon be in CIS. Recent volumes of JSS illustrate the fact that R is, indeed, the lingua franca of computational statistics. Many CRAN packages have their corresponding JSS articles. And I hope more package authors will follow. As far as I...
2005 Nov 09
0
useR! 2006: submission & registration started!
...ied statistics will discuss the impact of recent developments in computational statistics on peer-reviewed journal publications. Currently, the panelists include Jan de Leeuw (JSS), Brian Everitt (SMMR), Wolfgang Haerdle (CS), Nicholas Jewell (SMGMB), Erricos Konthogiorges (CSDA), and Luke Tierney (JCGS). Early birds fly until January 31st 2006, so now is the perfect time to write and submit an abstract, register as a participant and plan your trip to Vienna. The conference web page http://www.R-project.org/useR-2006/ has a link to a local hotel booking service and much more news. See you in V...
2010 Mar 11
2
Robust estimation of variance components for a nested design
One of my colleagues has a data set from a two-level nested design from which we would like to estimate variance components. But we'd like some idea of what the inevitable outliers are doing, so we were looking for something in R that uses robust (eg Huber) treatment and returns robust estimates of variance. Nothing in my collection of R robust estimation packages (robust, robustbase and MASS
2000 Nov 01
0
J. of Comp. and Graph. Statist., Sept. 2000
Members of R-devel may be interested in the special Sept. 2000 issue of J. of Comp. and Graph. Statist. http://www.amstat.org/publications/asajournals.html#jcgs on Systems and Languages. It features two articles by Robert Gentleman and Ross Ihaka on "Java and Dylan" and "Lexical Scope and Statistical Computing", an article by Paul Murrell and Ross Ihaka on "An Approach to Providing Mathematical Annotation on Plots", an articl...
2005 Nov 09
0
useR! 2006: submission & registration started!
...ied statistics will discuss the impact of recent developments in computational statistics on peer-reviewed journal publications. Currently, the panelists include Jan de Leeuw (JSS), Brian Everitt (SMMR), Wolfgang Haerdle (CS), Nicholas Jewell (SMGMB), Erricos Konthogiorges (CSDA), and Luke Tierney (JCGS). Early birds fly until January 31st 2006, so now is the perfect time to write and submit an abstract, register as a participant and plan your trip to Vienna. The conference web page http://www.R-project.org/useR-2006/ has a link to a local hotel booking service and much more news. See you in V...
2007 Jun 11
1
Looking for R-code for non-negative matrix factorization in the presence of Gaussian or Poisson noise
Hi all, Has any of you implemented code for non-negative matrix factorization to solve Y=T P' +E; dim(Y)=n,p ; dim(T)=n,nc; dim (P)=(p,nc); dim(E)=n,p where T and P must be non-negative and E either Gaussian or Poisson noise. I'm looking for two variants: 1. Easy (I think), T is known (that is we just want to solve the general inverse problem) 2. Harder (?), T is unknown (under some
2012 Mar 22
0
New package RcppSMC 0.1.0 for Sequential Monte Carlo and Particle Filters
...pfLineartBSOnlinePlot() is a default plotting function provided for this example by the package. Two more 'classic' examples from the literature have been added to the package: blockpfGaussianOpt() provides the Block Sampling Particle Filter of Doucet, Briers and Senecal (2006, JCGS 15:693) in the context of a univariate linear Gaussian model. pfNonlinBS() provides the Bootstrap Particle Filter of Gordon, Salmond and Smith (1993, IEE Proceedings-F 140:107) in the context of the ubiquitous nonlinear model which was used in section 4.1 of that paper....
2012 Mar 22
0
New package RcppSMC 0.1.0 for Sequential Monte Carlo and Particle Filters
...pfLineartBSOnlinePlot() is a default plotting function provided for this example by the package. Two more 'classic' examples from the literature have been added to the package: blockpfGaussianOpt() provides the Block Sampling Particle Filter of Doucet, Briers and Senecal (2006, JCGS 15:693) in the context of a univariate linear Gaussian model. pfNonlinBS() provides the Bootstrap Particle Filter of Gordon, Salmond and Smith (1993, IEE Proceedings-F 140:107) in the context of the ubiquitous nonlinear model which was used in section 4.1 of that paper....
2006 Sep 20
5
Beginners manual for emacs and ess
Hi I heard so much about Emacs and ESS that I decided to try it out - but I am stuck at the beginning. Is there anywhere a beginners manual for Emacs & ESS to be used with R? even M-x S tells me it can't start S-Plus - obviously - but I want it to start R... Any help welcome (otherwise I will be stuck with Eclipse and R) Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc
1999 Apr 14
2
No LOGLM coefficients
Dear R-helpers, Im trying to fit a Log-linear model on a dataset with bird counts from 60 sites over 14 years for 12 months each (factors for the models). One of the aims is to predict the missing values in this dataset with model predictions. Ive first tried to work with GLM's, that worked fine except for models with one or more interaction-terms. The GLMs run, run .. for hours. So I