In my last post, we looked at how to create a correlation matrix in R. Specifically, we used data pulled from the web to see which variables were most highly correlated with an automobile’s fuel economy. Suppose, however, that we are trying to guess the fuel economy of a ...

When I first started learning R, it seemed way more complicated than what I was used to with looking at spreadsheets in Microsoft Excel. When I started working with data frames in R, it didn’t seem quite as easy to know what I was looking at. I’ve since ...

Often, when you’re working with a large data set, you will only be interested in a small portion of it for your particular analysis. So, how do you sort through all the extraneous variables and observations and extract only those you need? Well, R has several ways of doing ...

One of the most useful (and most popular) applications in R are the functions available in the dplyr package. With functions like select, filter, arrange, and mutate, you can restructure a data set to get it looking just the way you want it. The problem is that doing so can ...

I've joined Hadley's team at RStudio. Unsurprisingly, I’ll be working on some modeling related R packages ...

Introduction This document describes how to obtain seasonal information from the R package EGRET - Exploration and Graphics for RivEr Trends: An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS) For example, we might ...

elasticsearchr: a Lightweight Elasticsearch Client for R Elasticsearch is a distributed NoSQL document store search-engine and column-oriented database, whose fast (near real-time) reads and powerful aggregation engine make it an excellent choice as an ‘analytics database’ for R&D, production-use or … Continue reading →

After rewatching the thanksgiving classic, Bill and Ted’s Excellent Adventure, it reminded me of the history of #Rstats and its current status as the defacto software for general data programming. The most excellent thing about R, is the literate programming options you have. As a data analyst, you are ...