Posts externos

Esta página é uma reunião de links para posts interessantes na blogesfera de R. Basicamente são posts que apareceram no R-bloggers que têm conteúdo muito interessante. Vale a pena conferir.

• A brief introduction to “apply” in R;
• Animated Plots with R;
• Animated plots in R and LaTeX;
• Using R, Sweave and Latex to integrate animations into PDFs;
• Decimal log scale on a plot;
• R: Calculating all possible linear regression models for a given set of predictors;
• Twenty rules for good graphics;
• R: Good practice – adding footnotes to graphics;
• MultBar : Advanced multiple barplot with SEM;
• R: Changing Trellis graphics settings – remove margins;
• Organization and R;
• Mandelbrot Set, evolved;
• Reshape Package in R: Long Data format, to Wide, back to Long again;
• Animate .gif images in R / ImageMagick;
• Getting data from an image (introductory post);
• Globally Set Digits in Sweave;
• GenEstim : A simple genetic algorithm for parameters estimation;
• Testing Different Methods for Merging a set of Files into a Dataframe;
• Controlling margins and axes with oma and mgp;
• directlabels: Adding direct labels to ggplot2 and lattice plots;
• High-quality R graphics on the Web with SVG;
• Even faster linear model fits with R using RcppEigen;
• Curving Normality (data);
• Heatmap tables done better, in Sweave and latex;
• Fast matrix multiplication in R: Strassen’s algorithm;
• Quando le assunzioni dell’ANOVA sono violate: tests e post-hoc tests;
• Latin squares design in R;
• ANOVA post-hoc tests #1;
• ANOVA post-hoc tests #2;
• Test di analisi di omogeneità della varianza;
• Regressione polinomiale #2;
• Generalized Linear Models – Poisson Regression;
• Generating Balanced Incomplete Block Designs (BIBD);
• Design of Experiments – Block Designs;
• Speeding Up MLE Code in R;
• Analysis of Covariance – Extending Simple Linear Regression;
• Contingency Tables – Fisher’s Exact Test;
• Classification Trees;
• Logistic Regression & Factors in R;
• Measuring association using odds ratios;
• Multivariate probit regression using (direct) maximum likelihood estimators;
• The Many Uses of Q-Q Plots;
• How to: Binomial regression models in R;
• How to: Multinomial regression models in R;
• Example 8.30: Compare Poisson and negative binomial count models;
• Word Cloud in R;
• I can’t resist a word cloud: now using R!;
• A Sweave Wiki;
• LaTeX 2 OpenOffice.org (odt);
• Sweave Tutorial 1: Using Sweave, R, and Make to Generate a PDF of Multiple Choice Questions;
• Sweave Tutorial 2: Batch Individual Personality Reports using R, Sweave, and LaTeX;
• Sweave Tutorial 3: Console Input and Output – Multiple Choice Test Analysis;
• Getting Started with Git, EGit, Eclipse, and GitHub: Version Control for R Projects;
• Free Online Videos on Mathematical Statistics from UCCS;
• Using the LaTeX Resume Templates;
• TTU Thesis LaTeX Templates;
• Paul Murrell – Introduction to Grid graphics (useR! 2011);
• Sync your Rprofile across multiple R installations;
• Using Emacs as a front-end for R;
• Estilo BibTex com as normas da ABNT (UFRGS);
• Modelo ABNT (em LyX e TeX) para monografias (UFES);
• abnTeX;
• Instalando classe abnt para Latex e a classe abnt-UTFPR no Ubuntu;
• Quick labels within figures;
• 9 more ways to bring data into R;
• Using #Rstats for online data access;
• Adding a scale to an image plot;
• Using Google Spreadsheets as a Database Source for R;
• Embedding a plot in your website;
• Polynomial Interpolation with R;
• Using Google Spreadsheets with R: an update;
• Always put comments in your code!;
• Using Inkscape to Post-edit Labels in R Graphs;
• Customizing your .rprofile;
• R tutorial on visualizations/graphics;
• Variogram fit with RPanel;
• R talk on regular expressions (regex);
• An exercise in plyr and ggplot2 using triathlon results;
• plyr, ggplot2 and triathlon results, part II;
• Plot Animation with Imported Images;
• Where to find data to use with R;
• R related books: Traditional vs online publishing;
• Maximum likelihood;
• Linear mixed models in R;
• Graphs and tables;
• R: ggplot2 Intro;
• Dynamite plots: unmitigated evil?;
• Confidence bands with lattice and R;
• dotplots.errors, a new R function to ease the pain of creating dotplots;
• Colors in R;
• Example 9.10: more regression trees and recursive partitioning with “partykit”;
• Tools for creating tables for LATEX and other formats;
• Some expensive lessons I recently learnt about R/Sweave;
• The xtable gallery;
• Highlights cells, in each column or row, of an ‘xtable’ in R;
• Using Emacs to work with R;
• Spatial correlation in designed experiments;
• 51 Insanely Useful Emacs Shortcuts;
• ESS — Emacs Speaks Statistics;
• Emacs Init File;
• LaTeX, VirtualBox;
• KtikZ – Editor for the TikZ language;
• Heteroscedasticity detection and treatment in R;
• Basic factor analysis in R;
• Linear panel data models in R: The PLM package;
• Online LaTeX compilers;
• Endnotes in LaTeX;
• Calc2LaTeX, Excel to LaTeX;
• Introduction to BibTeX;
• Installing and using LaTeX packages;
• LaTeX Cheat Sheets (a lot of reference card);
• Usando o LaTeX no Linux;
• Usando LaTeX no Linux: Primeiro Documento;
• Usando LaTeX no Linux 2: Editores e IDEs;
• Instalando o Firefox 7 no Ubuntu via repositório;
• Using Sweave with XeLaTeX;
• Normality tests don’t do what you think they do;
• tooltips in R graphics; nytR package;
• LaTeX table tricks;
• useR! 2011 – Ulrike Grömping: Design of Experiments (video);
• Confidence interval for predictions with GLMs;
• Colour wheels in R, More colour wheels;
• Applying multiple functions to data frame;
• A chart for marathoners (calendar plot);
• Visualizing Likert Items (plottable);
• Getting Started With Twitter Analysis in R;
• animation with gridSVG;
• Logistic Power Peak (LPP) Simulated Soil Profiles;
• How to Download and Run Google Docs Script from within the R-Console;
• Landscape figures in Sweave;
• Globally Set Digits in Sweave;
• htmlToText(): Extracting Text from HTML via XPath;
• Missing values and column types when reading data into R;
• Why Emacs?;
• Indexing Nested Lists;
• The ‘swst’ package to print statistical results in Sweave;
• An R function to analyze your Google Scholar Citations page;
• Sending Email from R (sing sendEmail);
• Pseudo-Random vs. Random Numbers in R;
• Define intermediate color steps for colorRampPalette;
• How to Backup Linux? 15 rsync Command Examples;
• Changing background image of LaTeX Beamer;
• Surfaces in ternary plots;
• Monty Hall by simulation in R;
• On linear models with no constant and R2;
• The reshape function;
• Say it in R with “by”, “apply” and friends;
• MAT8886 a short word on profile likelihood;
• Visualising the Metropolis-Hastings algorithm;
• R-Function to Read Data from Google Docs Spreadsheets;
• Working with Globcolour data;
• Add a frame to a map;
• Dynamite plots in R (error bars);
• Working with strings;
• Example 9.26: More circular plotting;
• Small pedigree based mixed model example;
• Newton’s Method In R;
• Violin and boxplots with lattice and R;
• Transforming subsets of data in R with by, ddply and data.table;
• \verbatim [beamer package];
• R becomes a critical tool in government departments;
• Converting Sweave LaTeX to knitr LaTeX: A case study;
• Choosing colour palettes. Part I: Introduction;
• Choosing colour palettes. Part II: Educated Choices;
• Simulating the Birthday Problem with data derived probabilities;
• R Style Guide;
• Quasi-Random Number Generation in R;
• Digitize linear and (semi-)log scale graphs with multiple point sets;
• Standard, Robust, and Clustered Standard Errors Computed in Rs;
• Data on GitHub: The easy way to make your data available;
• Experimental Design: Problem Set;
• Color Palettes in RGB Space;
• A wrapper for R’s data() function;
• Reproducible Research and R Workflow (video);
• How Google and Facebook are using R;
• R and Google Visualization API: Fish harvests;
• google-motion-charts-with-r;
• R and Google Visualization API;
• slides from my R tutorial on Twitter text mining #rstats;
• Generating Twitter Wordclouds in R (Prompted by an Open Learning Blogpost);
• Analyzing Twitter Data in R – Part 1;
• Updated Sentiment Analysis and a Word Cloud for Netflix – The R Way!;
• Fun with the googleVis Package for R;
• Applying a function successively in R;
• knitr, Slideshows, and Dropbox;
• A better ‘nls’ (?);
• leaf area measuring — R package “EBImage”;
• automated cell phenotyping — R package “EBImage”;
• R Optimization Function Test;
• A comparison of some heuristic optimization methods;
• User Input using tcl/tk;
• Importing data directly from MS Excel;
• Animation basics for a vacation;
• Plotting 95% Confidence Bands in R;
• A weighting function for ‘nls’ / ‘nlsLM’;
• Confidence interval for predictions with GLMs;
• Creating SVG Plots from R;
• Curved arrows in R;
• Using consistent R and LaTeX fonts in Org (or knitr, or Sweave);
• Combination dotplot/boxplot;
• Rename photos’ names according to shooting time in a batch mode;
• Which functions in plyr do people use?;
• Hierarchical linear models and lmer;
• Fisher vs. Pearson;
• Hjust and Vjust;
• On Box-Cox transform in regression models;
• Changing colours and legends in lattice plots;
• edply: combining plyr and expand.grid;
• Image Manipulation in R, Part 1;
• “Dominant” Color Palettes with k-means;
• Color Palettes in HCL Space;
• Interactive color picker, using locator();
• Fifty Shades of Grey in R;
• Evaluating term popularity with twitteR;
• Choosing colors visually with ‘getcolors’;