Gapminder: Unveiling the beauty of statistics for a fact based world view.
SNAP: Stanford Network Analysis Project
Software - Miquel De Cáceres Ainsa
Indicspecies R package Indicator species are species that are used as ecological indicators of community or habitat types, environmental conditions, or environmental changes. In order to determine indicator species, the characteristic to be predicted is represented in the form of a classification of the sites, which is compared to the patterns of distribution of the species found in that set of sites. 'Indicspecies' is an R package that contains a set of functions to assess the strength of relationship between species and a classification of sites. As such, it includes the well-known IndVal method (Dufrêne & Legendre 1997) and extends it by allowing the user to study combinations of site groups (De Cáceres et al. 2010). Apart from the IndVal index, the package allows computing many other indices suitable for this kind of associations (De Cáceres & Legendre 2009), such as the phi coefficient of association. Download indicspecies (ver. 1.6.7) from CRAN. Resniche R package STI R package
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Curriculum Vitae (mis à jour le: 25/01/2011)
Pierre Lafaye de Micheaux Né le 27 mars 1973 à Paris. Marié avec deux enfants. Séjours (courts) dans d’autres laboratoires de recherche universitaire Conférences invitées1 Sydney, Australie (2014). Mini-cours et tutoriels Invitation de chercheurs Bourses et subventions Distinction académique Fonctions électives Responsabilités administratives Université de Montréal, Département de Mathématiques et de Statistique Université Pierre Mendès France, Département STID de l’IUT2 Arbitrage d’articles de revues Bernoulli, Canadian Journal of Statistics, Cognitive Computation, Computational Statistics, Computational Statistics and Data Analysis, Frontiers Neuroscience, Journal of Multivariate Analysis, Journal of Statistical Planning and Inference, Journal of Statistical Software, Mathematical Reviews, Medical Image Computing and Computer Assisted Intervention (MICCAI) Proceedings, Statistical Methodology. Comités éditoriaux Thèmes de recherche privilégiés 2012: Lafaye de Micheaux P. and Léger C. 2014?
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knitr: Elegant, flexible and fast dynamic report generation with R | knitr
Overview The knitr package was designed to be a transparent engine for dynamic report generation with R, solve some long-standing problems in Sweave, and combine features in other add-on packages into one package (knitr ≈ Sweave + cacheSweave + pgfSweave + weaver + animation::saveLatex + R2HTML::RweaveHTML + highlight::HighlightWeaveLatex + 0.2 * brew + 0.1 * SweaveListingUtils + more). This package is developed on GitHub; for installation instructions and FAQ’s, see README. This website serves as the full documentation of knitr, and you can find the main manual, the graphics manual and other demos / examples here. For a more organized reference, see the knitr book. Motivation One of the difficulties with extending Sweave is we have to copy a large amount of code from the utils package (the file SweaveDrivers.R has more than 700 lines of R code), and this is what the two packages mentioned above have done. Features Acknowledgements Misc
Data Analytics for Beginners: Part 1 | statsguys
If you want more practice data projects, be sure to check out What You Will Learn: This post is meant for ANYONE interested in learning more about data analytics and is made so that you can follow along even with no prior experience in R. Some background in Statistics would be helpful (making the fancy words seem less fancy) but neither is it necessary. Why You Should Follow Along: Are you a professional looking to develop additional skills that will make you high demand in the job market? Hal Varian, Chief Economist at Google, said this about the field of Data Analytics and Data Science: If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. Who We Are: Table of Contents: Tips for following along Feel free to ask questions on our Kaggle Forum post and we will respond as soon as possible! Installing R and Rstudio Conclusion
