Publications by Bryan
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library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0...
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Data Analysis and Graphics Using R – Maindonald and Braun (2003)
Title: Data Analysis and Graphics Using R: An Example-Based ApproachAuthor(s): John Maindonald; John BraunPublisher/Date: Cambridge University Press/2003Statistics level: Intermediate to advancedProgramming level: Beginner to intermediate Overall recommendation: Highly recommended Data Analysis and Graphics Using R (DAAG) covers an exceptionall...
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Controlling margins and axes with oma and mgp
When creating graphs, we’re usually most concerned with what happens near the center of our displays, as this is where most of the important information is generally held. But sometimes, either for aesthetics or clarity, we want to adjust what’s outside of the box – in the margins, labels or tick marks. The par() function offers several w...
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A Handbook of Statistical Analyses Using R – Everitt and Hothorn (2006)
Title: A Handbook of Statistical Analyses Using RAuthor(s): Brian S. Torvitt; Torsten HothornPublisher/Date: Chapman & Hall/2006Statistics level: Intermediate to advancedProgramming level: Intermediate Overall recommendation: Highly recommended A Handbook of Statistical Analyses Using R addresses a list of several common statistical analyses in...
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Online R programming resources
R can legitimately be called both a programming language and a statistical package. Many books address both the programming and statistical components of R, but invariably the discussion of statistical topics is more detailed than the discussion of programming capabilities. As a supplement, I’ve started the list of links below. Each of these...
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Positioning charts with fig and fin
R offers several ways to spatially orient multiple graphs in a single graphing space. The layout() function and mfrow/mfcol parameter settings are adequate solutions for many tasks and allow the graphing space to be broken up into tabular or matrix-based arrangements. For more fine grained manipulation, the fig and fin parameter settings are av...
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Helpful statistical references
In a previous article I provided a list of R programming resources. As a complement to that post, I’ve compiled a list of statistically oriented websites that colleagues and I have found useful below. For the most part, these sites focus on statistics and quantitative research methods rather than programming. read more Related To leave a ...
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Webscraping using readLines and RCurl
There is a massive amount of data available on the web. Some of it is in the form of precompiled, downloadable datasets which are easy to access. But the majority of online data exists as web content such as blogs, news stories and cooking recipes. With precompiled files, accessing the data is fairly straightforward; just download the file, un...
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Data Manipulation with R – Spector (2008)
Title: Data Manipulation with RAuthor(s): Phil SpectorPublisher/Date: Springer/2008Statistics level: N/A Programming level: Intermediate Overall recommendation: Highly recommended If there is one book that every beginning R user coming from a programming background should have, it is Spector’s Data Manipulation with R. New R users with analy...
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Data Manipulation with R – Spector (2008)
Title: Data Manipulation with RAuthor(s): Phil SpectorPublisher/Date: Springer/2008Statistics level: N/A Programming level: Intermediate Overall recommendation: Highly recommended If there is one book that every beginning R user coming from a programming background should have, it is Spector’s Data Manipulation with R. New R users with analy...
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