A summary of Robert Hijmans' talk on spatial data analysis in R, covering packages like raster, dismo, and geosphere for geostatistics and visualization.
Introduces proftable(), an improved R profiling function that displays detailed call stacks and line numbers to identify performance bottlenecks.
A practical guide for R users on optimizing code for speed, balancing performance with readability and real-world time constraints.
A guide to installing and using R on Amazon EC2 instances to overcome in-memory limitations for big data analysis.
A guide to automatically re-install R packages after upgrading to R 3.0, with OSX and Windows instructions.
A developer shares a humorous and insightful experience debugging an R package for the Adobe API, focusing on error handling and JSON parsing.
A technical guide on using R's xts and ggplot2 packages to process and visualize time-series data from field instruments.
A presentation and tutorial on using the `plyr` package in R for data manipulation, summarization, and automated statistical analysis.
Using R to automate the creation of a random teaching assistant office hours calendar, solving scheduling conflicts and improving efficiency.
A tutorial on using R and the Google Analytics API to analyze and visualize '(not provided)' organic search data.
A guide to tools and best practices for collaborating on projects using the R programming language, including version control and community engagement.
A tutorial video demonstrating how to execute SQL queries within the R programming language using the 'sqldf' package for data analysis.
A technical presentation on using R to create and analyze stochastic, age-structured matrix population models for ecological simulations.
A quick R function to edit CSV files using R's native data editor, providing a lightweight alternative to spreadsheet software.
A tutorial video demonstrating how to overlay histograms with normal curves, density curves, and secondary data series in R.
A guide on customizing your R programming environment using the .Rprofile file, including setup for Windows and Mac.
A technical guide on using R's plot.new() function for creating custom multi-panel plots, comparing it to the traditional par(mfrow) method.
A tutorial introduction to using mixed models in R for statistical analysis, covering linear and generalized linear mixed models with code examples.
A tutorial introducing the ggplot2 package in R for creating data visualizations, comparing it with base R graphics.
