Blog Archives

More tidyverse: using dplyr functions

February 20, 2017
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This week, we return to our “Getting Started With R” series. Today we are going to look at some tools from the “dplyr” package. Hadley Wickham, the creator of dplyr, calls it “A Grammar of Data Manipulation.” filter() Use filter() for

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Calculating required sample size in R and SAS

February 15, 2017
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Calculating required sample size in R and SAS

Today we are going to digress from our ongoing “Intro to R” series, and talk about a subject that’s been on my mind lately: sample sizes. An important question when designing an experiment is “How big a sample do I

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Dataframes and the tidyverse

February 12, 2017
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Dataframes and the tidyverse

The data frame is the primary structure for working with data in R. Whenever you have data that is arranged in a spreadsheet-like fashion, the default receptacle for that data in R is the data frame. In a data frame,

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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

January 29, 2017
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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

This is Part 3 of our “Getting Started with R Programming” series. For previous articles in the series, click here: Part 1, Part 2. This week, we are going to talk about using git and GitHub with RStudio to manage

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Getting Started With R: A Beginner’s Guide, Part 2

January 16, 2017
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Getting Started With R: A Beginner’s Guide, Part 2

Last week, we installed R and R Studio, and we tried out a few simple R commands in the console. But using R in interactive mode, while powerful, has some limits. Today we are going to learn how to use

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Getting Started With R: A Beginner’s Guide, Part 1

January 9, 2017
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Getting Started With R: A Beginner’s Guide, Part 1

Why learn R? There are a lot of tools available for doing data analytics, data science, or statistical analysis. So why should you choose R? I’ll answer that by contrasting R to some of my other favorite tools. If you

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