Qt and Gtk development under Mac OS X
I recently installed two widely used frameworks in the Linux world: Qt and Gtk+. I intend to use them to build small GUI for scientific computing.
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OpenOffice Base and MySQL
OpenOffice has been released in its 3rd version, which is totally Aqua-based for the Mac. I already have iWork’08 and the Micro$oft Office 2008 version (I only need it to work with colleagues producing lot of Word and Excel documents), but no database application are available for the Mac.
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A list of my Mac App…
Here is the list of all the applications I have on my Macbook. Some of them were download for the fun or just to give it a try, but many are very useful applications. This note is only intended to remember myself which one I like, and which one I really need for my work.
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Methodology, Volume 4/2008
A new issue of Methodology has been published by the end of November. It includes several articles that are interesting from a psychometrical point of view.
Mixed-effects Models with R
In this article, I would like review the main R packages targeted at mixed effects models. Basically, LMM and GLMM parameters estimation relies on the somewhat “old” package nlme but is now better handled using the lme4 package. After recalling the reader to the standard notation for random effects and hierarchical models, I discuss estimation algorithms and provide small examples to illustrate convergence and estimation issues. Useful references are given at the end of this article.
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XCode vs. Eclipse for Java
XCode est un environnement de développement intégré (EDI) pour Mac OS X et permet de gérer des projets dans différents langage de programmation, principalement : C/C++, ObjectiveC, Java, Python, Perl et les WebObjects. Eclipse est un EDI open-source, orienté Java (l’interface est elle-même construit à partir de classes spécifiques Java) mais qui peut s’adapter à beaucoup d’autres langages (en fait, pratiquement sans limitations).
Quels sont les avantages de ces deux environnements ? Quelles sont leurs limitations ? Lequel choisir ?
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Longitudinal studies: The inclusion of contextual factors
Modeling Contextual Effects in Longitudinal Studies. T.D. Little, J.A. Bovaird and N.A. Card (Eds.), Lawrence Erlbaum Associates, 2007.
This book is about cohort study and the modeling of specific outcomes when taking into account other explanatory variables. This in not just multiple regression when other cofactors, possibly confusing variables, are adjusted into the model.
Nouveaux horizons méthodologiques
À partir de 2009, je devrais être amené à travailler sur de nouveaux types de données, en particulier des données de neuroimagerie (IRMf et VBM) et de génétique (biopuces). De même, je dois me familiariser avec le domaine des équations structurelles, même si ce n’est pas foncièrement pas tasse de thé…
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Cluster analysis for genomic data I
Hereafter, I provide some insights into the most widely used statistical tools used to analyse genomic expression data. There will be several articles on this topic, and here is the first based on Eisen et al.’s original article: Cluster analysis and display of genome-wide expression patterns (PNAS, 95: 14863-14868, PDF version).
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ETL technology and Reporting
An increasing number of companies now rely on web services, automatic report generation, intelligent data analysis (e.g. consumer’s preferences, site map navigation). It usually amounts to develop a complex wrapping between several pieces of code, ranging from web queries analysis, user interaction, backend computations, database queries management, and results generation.
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La citation du jour
by Albert Einstein