A software package for fitting multilevel models A few of its features Names window (where you can see all the variables) Equations window (showing what model has been fitted and the parameter estimates). More >> Variance function window (to calculate the residual variance at any level) Predictions window (to calculate predicted values for each individual in the dataset, specifying what should be included in the prediction), and Graphs (here the user has selected the country line that seems to be different from the others and asked that points relating to this country be drawn in red in all graphs, to help in deciding whether this is an outlier; the country is the Netherlands, as the user would have seen when they clicked on the line). More >> More features >> Go to full-screen image >>
Current AMI Quick Reference (12th Mar 2013) Amazon instance type reference Click to launch through AWS web interface: What's new since the last AMIs? Updates to latest RStudio and R. Inclusion of GSL (GNU Scientific Library). Only 64-bit images since all instances now support it. Leave comment below if you want to see 32-bit come back!
Pierre Lafaye de Micheaux Né le 27 mars 1973 à Paris, marié avec deux enfants. Nationalités : canadienne, française, suisse. Séjours dans d’autres laboratoires de recherche universitaire Conférences invités 1 Bordeaux, France (2012).
This is the homepage for the "survey" package, which provides facilities in R for analyzing data from complex surveys. The current version is 3.29. A much earlier version (2.2) was published in Journal of Statistical Software
Warning Here are the notes I took while discovering and using the statistical environment R. However, I do not claim any competence in the domains I tackle: I hope you will find those notes useful, but keep you eyes open -- errors and bad advice are still lurking in those pages... Should you want it, I have prepared a quick-and-dirty PDF version of this document. The old, French version is still available, in HTML or as a single file . You may also want all the code in this document.
Plan de cours et références générales Outils étudiants Table des matières
Outils.Stat a été développé dans le but de proposer une interface permettant l'utilisation de R depuis Microsoft Excel(c). Il repose sur les développements de R, Rexcel et RCom. Conçu à l'origine pour offrir aux étudiants en psychologie un outil simple et gratuit complètement intégré au tableur, il offre également des possibilités susceptibles d'intéresser les enseignants chercheurs.
Naomi Robbins, a consultant and seminar leader who specializes in the graphical display of data, offers training on the effective presentation of data. She also reviews documents and presentations for clients. She is the author of Creating More Effective Graphs . Three common challenges statisticians and others face when preparing data for presentation include poor options and defaults in many software packages used for creating graphs, managers and colleagues who are socialized to expect figures that attract attention, and poor instructions from conference organizers. This article addresses each of these challenges and offers some tips for dealing with them.
Microsoft Excel Spreadsheets We have created the following spreadsheets to assist in statistical calculations. Each spreadsheet is "protected" so that it will only let you type in certain cells so that you don't accidentally overwrite any important formulas.
So far we have been plotting frequencies. An advantage barplot() has over plot() is that you can get the height of bars to represent any measure you like. Below I use tapply() to get the means of q1 by gender, store it in myMeans and then plot those means.
Try out the newest version of IBM Many Eyes! New site design and layout Find visualization by category and industry New visualization expertise and thought leadership section Expertise on the Expert Eyes blog Learn best practices to create beautiful, effective visualizations New, innovative visualizations from the visualizations experts of IBM Research
Overview I’ve been looking at various examples over at Stephen Few’s Perpetual Edge web site and one example ( this one ) really resonates with me as it deals with how to visualize Likert Scale questions. For the past five years I’ve used Tableau to analyze literally thousands of survey questions, but I’ve never really been happy with how I presented Likert Scale questions results. That said, a new version of Tableau has brought new capabilities…
Ce document a pour objectif de présenter l'utilisation de R a des étudiants ou chercheurs en sciences sociales, et plus généralement à des personnes n'ayant pas forcément une grosse expérience en informatique. Le document est disponible en version PDF. Le code source Sweave est également téléchargeable, mais il ne contient pas les captures d'écran et autres images non générées par R. Ce document est étroitement lié à l'extension rgrs , également présentée et décrite sur ce site. Par ailleurs, si vous souhaitez échanger ou obtenir de l'aide sur l'utilisation de R en sciences sociales, n'hésitez pas à rejoindre et à solliciter la liste de discussion R-soc dédiée à ce sujet.
A simple guide to an elegant package Introduction to R (For a very abbreviated form of this guide meant to help students do basic data analysis in a personality research course, see a very short guide . In addition, a short guide to data analysis in a research methods course offers some more detail on graphing.)
I’m in the process of moving from SPSS to R at the moment. It’s not been the easiest of rides, but then learning how to do a core part of your job never really should be. It’s been fun, though – don’t get me wrong – it’s definitely been an adventure!!