April 29, 2009
jQuery(document).ready(function($) { window.setTimeout(‘loadFBShareMe_783()’,5000); }); function loadFBShareMe_783(){ jQuery(document).ready(function($) { $(‘.dd-fbshareme-783′).remove();$(‘.DD_FBSHAREME_AJAX_783′).attr(‘width’,’53′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘height’,’69′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘src’,'http://widgets.fbshare.me/files/fbshare.php?url=http://www.rensenieuwenhuis.nl/a-very-small-step-for-readisi/&size=large’); }); }I’m highly excited to announce that influence.ME is now available. Influence.ME is a new software package for R, providing statistical tools for detecting influential data in mixed models. It has been developed by Rense Nieuwenhuis, Ben Pelzer, and Manfred te Grotenhuis. The basic rationale behind [...]
April 23, 2009
jQuery(document).ready(function($) { window.setTimeout(‘loadFBShareMe_783()’,5000); }); function loadFBShareMe_783(){ jQuery(document).ready(function($) { $(‘.dd-fbshareme-783′).remove();$(‘.DD_FBSHAREME_AJAX_783′).attr(‘width’,’53′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘height’,’69′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘src’,'http://widgets.fbshare.me/files/fbshare.php?url=http://www.rensenieuwenhuis.nl/a-very-small-step-for-readisi/&size=large’); }); } The organizing committee of the useR! 2009 conference just informed me, that my submission for presenting my extension package influence.ME, has been accepted! Influence.ME is a new R package that I’m currently developing, with the indispensable help of Ben Pelzer and Manfred te Grotenhuis. [...]
February 13, 2009
jQuery(document).ready(function($) { window.setTimeout(‘loadFBShareMe_783()’,5000); }); function loadFBShareMe_783(){ jQuery(document).ready(function($) { $(‘.dd-fbshareme-783′).remove();$(‘.DD_FBSHAREME_AJAX_783′).attr(‘width’,’53′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘height’,’69′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘src’,'http://widgets.fbshare.me/files/fbshare.php?url=http://www.rensenieuwenhuis.nl/a-very-small-step-for-readisi/&size=large’); }); } Intended to be a customized solution, it may have grown to be a little more. forward.lmer is an early installment of a full stepwise function for mixed effects regression models in R-Project. I may put in some work to extend it, or I may [...]
February 5, 2009
jQuery(document).ready(function($) { window.setTimeout(‘loadFBShareMe_783()’,5000); }); function loadFBShareMe_783(){ jQuery(document).ready(function($) { $(‘.dd-fbshareme-783′).remove();$(‘.DD_FBSHAREME_AJAX_783′).attr(‘width’,’53′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘height’,’69′);$(‘.DD_FBSHAREME_AJAX_783′).attr(‘src’,'http://widgets.fbshare.me/files/fbshare.php?url=http://www.rensenieuwenhuis.nl/a-very-small-step-for-readisi/&size=large’); }); } There are various ways of getting your output from R to your publication draft. Most of them are highly efficient, but unfortunately I couldn’t find a function that combines the output from several (lmer) models and presents it in a single table. lmer is [...]
January 8, 2009
It always takes some time to get a grip on a new dataset, especially large ones. The code-books are often as indispensable as they are massive, and not always as clear as one would want. Routings, and resulting and strange patterns of missing values are at times difficult to find.
I found a nice way to plot missing values, using R. Basically, I thought it would be nice to calculate the percentage of missings on each variable, and do so for each year represented in the data. These numbers could be visualized using a levelplot(), which resulted in the graph below.
Dear Read.isi developer,
Suppose I would use your package, how should I refer to it? In the (short) R-manual it says to look at “license(“Read.isi”)”, but that does not seem to work (yet).
Cheers, Stijn
Hmm, how about citation()?
> citation('Read.isi')
To cite R in publications please use:
Rense Nieuwenhuis (2008). Read.isi: Access old data saved in
fixed-width format based on ISI-formatted codebooks. Radboud
University, Nijmegen, The Netherlands. URL
http://www.rensenieuwenhuis.nl/r-project/read-isi/.
A BibTeX entry for LaTeX users is
@Manual{,
title = {Read.isi: Access old data saved in fixed-width format based on ISI-formatted codebooks},
author = {{Rense Nieuwenhuis}},
organization = {Radboud University},
address = {Nijmegen, The Netherlands},
year = {2008},
url = {http://www.rensenieuwenhuis.nl/r-project/read-isi/},
}