Data Wrangler. UPDATE: The Stanford/Berkeley Wrangler research project is complete, and the software is no longer actively supported. Instead, we have started a commercial venture, Trifacta. For the most recent version of the tool, see the free Trifacta Wrangler. Why wrangle? Too much time is spent manipulating data just to get analysis and visualization tools to read it.
Wrangler is designed to accelerate this process: spend less time fighting with your data and more time learning from it. Centre for Multilevel Modelling | MLwiN. A software package for fitting multilevel models Starting out? Introduction to MLwiN Get MLwiN Download MLwiN for free if you are a UK academic Buy MLwiN Upgrades and demo versions Upgrade MLwiN to 2.30 (released 26-Feb-14) Teaching version (limited version available free to all to be used with our online training course. Try MLwiN for free (expires after 30 days) Bug warnings Newly-discovered MLwiN bug: issue for MCMC cross-classified models with a classification whose units start from 0 (13-Oct-11) More >> There is currently an issue with using sandwich standard errors in a one level model where the standard error is incorrectly estimated as zero.
MLwiN features New features in MLwiN 2.18 including note about training materials. MLwiN features and versions System requirements Bugs fixed, new features and known issues. Manuals and training materials Register/log into our online course - incuding multilevel modelling using MLwiN. Manuals Citing MLwiN How to cite MLwiN. A few of its features.
StatGraph. StatExcel. StatR. RStudio Server Amazon Machine Image (AMI) - Louis Aslett. Current AMI Quick Reference (27nd Jun 2015)Amazon instance type reference Click to launch through AWS web interface: What’s new recently? Easy Dropbox setup to make syncing files on/off server easy, including selective folder sync. Preinstalled RStudioAMI R package for server control. HVM AMIs for full current generation instance support. Defaults to high speed SSD drives (faster, zero IO costs, only $1pm in most regions). Updated R and RStudio versions. < Back to homepage Amazon’s EC2 platform provides a convenient environment for rapidly procuring computational resources in the cloud.
To get started with the Amazon cloud, you must first signup for an AWS account if you don’t already have one. Click here for a simple video guide to using the AMIs listed here, or for more detailed information read on. What is this? If you want to run a server in the Amazon cloud, you have to select what system you are going to bootup. In particular, many common tools and dependencies are built-in. Usage. Browse Results. Curriculum Vitae (mis à jour le: 25/01/2011) Pierre Lafaye de Micheaux Né le 27 mars 1973 à Paris.
Marié avec deux enfants. Nationalités : canadienne, française, suisse. Séjours (courts) dans d’autres laboratoires de recherche universitaire Conférences invitées1 Sydney, Australie (2014). Ho Chi Minh, Viet Nam (2013). 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 2014? Survey analysis in R. Unveiling the beauty of statistics for a fact based world view. Gapminder: Unveiling the beauty of statistics for a fact based world view. R and Data Mining. Statistics with R. 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. 1. Introduction to R 2. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License. Claire Durand - Enseignement - Méthodes quantitatives. Interactive graphics for data analysis: principles and examples - Martin Theus, Simon Urbanek. Mondrian - Interactive Statistical Data Visualization in JAVA. Statconn. Visualizing Data: Challenges to Presentation of Quality Graphics—and Solutions.
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. Poor Options and Defaults in Many Software Packages Many software programs for drawing charts and graphs offer defaults and options that are full of fancy embellishments that detract from the clear and accurate communication of data. The pseudo three-dimensional problem is easily solved by using a two-dimensional bar chart. Summary.
Microsoft Excel Spreadsheets. Graphics, Traditional - r4stats.com. R for SAS and SPSS Users and R for Stata Users contain examples for advanced users. Paul Murrell's book R Graphics (right) also offers excellent coverage of traditional graphics in great detail. Bar Plots Bar Plots of Counts If you have pre-summarized data, it is easy to get a bar plot of it. > barplot( c(40,60) ) This bar plot summarizes the variable q4.
> plot( as.factor(q4) )> barplot( table(q4) ) This plots a factor, gender. > plot(gender) # or... > barplot( table(gender) ) Using traditional graphics functions you can turn a graph on its side by adding the argument, horiz = TRUE. > plot(workshop, horiz=TRUE) # or... > barplot( table(workshop), horiz=TRUE) A stacked bar plot is like a rectangular pie chart. > barplot( as.matrix( table(workshop) ), beside = FALSE) You can visualize frequencies on two factors by using plot(). > plot(workshop, gender, xlab="", ylab="") You can also do this plot using the mosaicplot() function. > mosaicplot( table(workshop, gender), main = "" ) Pie Charts Dot Charts.
AJP Excel Information - Dashboards. d3.js. Many Eyes. Ggplot. had.co.nz. Had.co.nz. Learning R. Download Tableau Public. The Likert Question Question | Data Revelations. 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… But first, just what is a Likert Scale question? You’re probably familiar with it, you just may not have known that it had a particular name. The “scale” part of the “Likert Scale” comes from applying values to each of the answers.
Poor = 1 Fair = 2 Average = 3 Good = 4 Excellent = 5 I’ve purposely set up an example that asks ten questions of the survey taker (only six are shown above). Note: An interactive dashboard that presents all the different approaches may be found at the bottom of this blog post. Approach One – Pie Charts Yuck. Good question. Introduction à R - Alea. Rcmdr.com. Index.html.
Untitled Document. This is one page of a series of tutorials for using R in psychological research. Much of material has also covered been covered in number of short courses or in a set of tutorials for specific problems. This particular page is an update of a previous guide to R which is being converted to HTML5 to be more readable. (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.) There are many possible statistical programs that can be used in psychological research. They differ in multiple ways, at least some of which are ease of use, generality, and cost. It has been claimed that "The statistical programming language and computing environment S has become the de-facto standard among statisticians.
R is also an amazing program for producing statistical graphics. Back to Top entering ? From a text file. Visual programming for R. SOFA Statistics Open For All - Home Page. RKWard. RStudio, Revolution Analytics and Deducer: A Tale of Three GUIs. 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!! Here I’m going to review my (limited) experience with some of the GUIs available for R. Don’t shout at me if I haven’t fully tested them – these are the views of a newbie (n00b). One of the interesting parts of my time learning R has been the increasing realisation that it’s turning into something new.
And then came Revolution… But things have changed since that time. <aside>Maybe big businesses like using it to predict how much money they are going to make, or what is going to happen in the future. Anyway, I digress. What the hell is a Deducer? Deducer is a slightly different beast to Revolution Analytics. Deducer is also great - download it and also give it a go. I guess I should have been calling it DeduceR. Back to the RStudio Summary. JGR - Java GUI for R - download/files - RForge.net. RForge.net - development environment for R package developers. Learn R Toolkit | Climate Charts & Graphs. As a former Excel chart user, I want to help current Excel users make the transition to more advanced charting R with as little difficulty as possible. This post introduces my LearnR Toolkit to help Excel users move up to R in a systematic, step by step fashion.
Introduction As an Excel chart user, I wanted to produce panel charts like this: After using VBA to build Excel panel charts (link), I knew I had to use a more advanced charting tool to continue my global warming, citizen climate science studies. R was the logical solution; I have made the switch to R and am now able to generate the types of charts I need to continue my citizen climate science efforts. LearnR Toolkit I’ve put together a series of instructional PowerPoint, video modules with supporting R scripts and data files to help Excel users learn R. Here’s a list of the modules with links to the Zip and PPT files. When viewing a PPT file, be sure to put PowerPoint in slide show mode to be able to see the embedded videos.
RStudio. PSPP. PSPP 2.0.0-pre1 has been released. GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions. The most important of these exceptions are, that there are no “time bombs”; your copy of PSPP will not “expire” or deliberately stop working in the future.
Neither are there any artificial limits on the number of cases or variables which you can use. There are no additional packages to purchase in order to get “advanced” functions; all functionality that PSPP currently supports is in the core package. PSPP is a stable and reliable application. It can perform descriptive statistics, T-tests, anova, linear and logistic regression, measures of association, cluster analysis, reliability and factor analysis, non-parametric tests and more. A brief list of some of the PSPP's features follows below. Support for over 1 billion cases. Downloading PSPP Documentation Test releases.
r4stats.com. r4stats.com: R info for SAS, SPSS, and Stata Users. Revolution Analytics - Commercial Software & Support for the R Statistics Language. Excel - Tableaux croisés dynamiques | CommentCaMarche. Septembre 2017 Excel dispose de dispositifs avancés, présentant un intérêt certain : tableaux croisés dynamiques, slicers (nouveaux dans Excel 2010), Solveur et Utilitaire d'analyse. Nous allons les examiner successivement dans ce chapitre. Tableaux croisés dynamiques Un tableau croisé dynamique, également nommé rapport de tableau croisé dynamique, permet de synthétiser, analyser, explorer et présenter une synthèse des données d'une feuille de calcul ou d'une source de données externe. Il se sert de données bidimensionnelles pour créer un tableau à trois dimensions, à partir de conditions multiples possédant des points d'intersection. Un tableau croisé dynamique est particulièrement utile lorsque vous disposez d'une vaste plage de données susceptible d'être examinée selon diverses perspectives.
Création d'un tableau croisé dynamique A savoir Astuce 4.Cliquez sur OK. Remarquez l'apparition dans le Ruban de l'onglet Outils de tableau croisé dynamique. A savoir : OLAP. Consolider plusieurs feuilles de calcul dans un rapport de tableau croisé dynamique - Microsoft pour les Petites et Moyennes Entreprises. La consolidation des données est un moyen pratique de combiner des données de différentes sources dans un seul rapport. Par exemple, si vous avez créé un rapport de tableau croisé dynamique pour les frais encourus par chacune de vos filiales, vous pouvez utiliser la consolidation des données pour combiner ces chiffres dans un rapport englobant tous les frais de l'entreprise.
Ce rapport comprendra les ventes totales et moyennes, les niveaux de stock et les produits les plus vendus dans toute l'entreprise. Pour résumer et présenter des résultats de différentes plages de feuilles de calcul, vous pouvez consolider les données de chaque plage dans un rapport de tableau croisé dynamique sur une feuille de calcul principale. Les plages de feuilles de calcul individuelles peuvent être dans le même classeur que la feuille de calcul principale ou dans un autre classeur. RemarqueL'interface utilisateur de l'Assistant Tableau et graphique croisés dynamiques utilise le terme « champ de page ».
Tutoriels vidéo gratuits mac, OpenOffice, LibreOffice. Pour que les donnée sautent automatiquement aux yeux : voici la mise en forme conditionnelle. Tags: tableaux croisés dynamiques, OpenOffice, Calc, Excel, Libreoffice Mise en page des tableaux, formatage direct, formatage automatique, formatage utilisant les styles spéciaux aux tableaux croisés dynamiques afin qu’ils ne perdent pas leur formatage en pivotant. Extraire les données vers des tableaux multiples plats (non dynamiques). Organisation du tableau croisé dynamique. Préparation des données préalable à la réalisation d’un tableau croisé dynamique. Tout ce que vous avez voulu savoir sur les tableaux croisés dynamiques sans jamais avoir osé le demander...Vous allez bientôt briller en société, car, quoi de mieux qu’un tableau croisé dynamique pour vous mettre en valeur...Voici la première vidéo d’une suite de tutoriels vidéos gratuits, les videoriels, consacrés aux tableaux croisés dynamiques, sur OpenOffice (ou LibreOffice) bien sûr.
Interfaces to using R statistics language. R, a GUI API for R. R. Google ajoute les tableaux croisés dynamiques dans Google Docs. On peut faire des tableaux croisés avec Excel ! R pour les sociologues : une introduction au fameux logiciel libre d’analyse des données. R Commander. KNIME | Konstanz Information Miner. Statconn. Package FactoMineR. 5 of the Best Free and Open Source Data Mining Software. Orange - Data Mining Fruitful & Fun. Freestatistics.info - Free Statistical Software, Data and Resources. Princeton. Sage: Open Source Mathematics Software. Deducer Manual. Using CLAN. Weka 3 - Data Mining with Open Source Machine Learning Software in Java. Psychometric Models and Methods. Structural Equation Modeling (David A. Kenny) R you ready for R?: The CRAN Psychometrics Task View - Ünlü - 2011 - British Journal of Mathematical and Statistical Psychology.