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<title>Tyson S. Barrett</title>
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  <title>dtplyr and tidyfast are teaming up (well, at least in this blog post)</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/workflow-dtplyr-tidyfast/</link>
  <description><![CDATA[ With the advent of a more cohesive and complete dtplyr, I’ve been wanting to write about how it can be used with tidyfast to use the syntax of the tidyverse while relying on the speed and efficiency of data.table. This workflow is… ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
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  <guid>https://tysonbarrett.com/posts/workflow-dtplyr-tidyfast/</guid>
  <pubDate>Tue, 03 Dec 2019 00:00:00 GMT</pubDate>
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  <title>Six Things I Learned While Making tidyfast</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/learned-tidyfast/</link>
  <description><![CDATA[ This post highlights six major themes of what I learned while creating the tidyfast R package. This process taught me about the tidyverse, data.table, R, and data science in general. ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/learned-tidyfast/</guid>
  <pubDate>Wed, 13 Nov 2019 00:00:00 GMT</pubDate>
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<item>
  <title>Guest Post: Interpreting Interactions in Multilevel Models</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/probinginteractionsmlm/</link>
  <description><![CDATA[ This is a guest post by Jeremy Haynes, a doctoral student at Utah State University. ]]></description>
  <category>regression</category>
  <guid>https://tysonbarrett.com/posts/probinginteractionsmlm/</guid>
  <pubDate>Tue, 29 Oct 2019 00:00:00 GMT</pubDate>
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<item>
  <title>Fast and Readable ‘If Else’ in R</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/filter-mutate-keep/</link>
  <description><![CDATA[ As I’ve spent time learning about different approaches to working with data, I’ve seen several subtle, but important, differences in how to do things. This very short post is presenting how one can perform vectorized “if else” functions in… ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
  <guid>https://tysonbarrett.com/posts/filter-mutate-keep/</guid>
  <pubDate>Wed, 16 Oct 2019 00:00:00 GMT</pubDate>
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  <title>Data Joins: Speed and Efficiency of dplyr and data.table</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/speed-of-joins/</link>
  <description><![CDATA[ This short post is looking at data joins for both dplyr and data.table. There are a lot of moving parts when assessing these things, so the results here are just for this situation. It may differ in others. However, the results here… ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
  <guid>https://tysonbarrett.com/posts/speed-of-joins/</guid>
  <pubDate>Fri, 11 Oct 2019 00:00:00 GMT</pubDate>
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<item>
  <title>Comparing Efficiency and Speed of data.table: Adding variables, filtering rows, and summarizing by group</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/datatable-memory/</link>
  <description><![CDATA[ As of late, I have used the data.table package to do some of my data wrangling. It has been a fun adventure (the nerd type of fun). This was made more meaningful with the renewed development of the dtplyr package by Hadley Wickham and… ]]></description>
  <category>data.table</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/datatable-memory/</guid>
  <pubDate>Sun, 06 Oct 2019 00:00:00 GMT</pubDate>
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  <title>New Preprint: List-columns in data.table: Nesting and unnesting data tables and vectors</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/listcolumnsdatatablepreprint/</link>
  <description><![CDATA[ I posted a new preprint named “List-columns in data.table: Nesting and unnesting data tables and vectors” in PsyArXiv. It can be downloaded here. It has been submitted to the R Journal (Oct 2019) so updates to the manuscript may follow… ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
  <category>reproducibility</category>
  <guid>https://tysonbarrett.com/posts/listcolumnsdatatablepreprint/</guid>
  <pubDate>Fri, 04 Oct 2019 00:00:00 GMT</pubDate>
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<item>
  <title>New Preprint: Six Reasons to Consider Using R in Psychological Research</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/sixreasonspreprint/</link>
  <description><![CDATA[ I posted a new preprint named “Six Reasons to Consider Using R in Psychological Research” in PsyArXiv. It can be downloaded here. ]]></description>
  <category>reproducibility</category>
  <guid>https://tysonbarrett.com/posts/sixreasonspreprint/</guid>
  <pubDate>Tue, 20 Aug 2019 00:00:00 GMT</pubDate>
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  <title>Using mice and furniture to understand missing data</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/missingdatatable1/</link>
  <description><![CDATA[ I get a lot of questions about how to investigate missing values in a data set. So I’m putting this short post together to help me better explain how to handle it. ]]></description>
  <category>data.table</category>
  <category>furniture</category>
  <guid>https://tysonbarrett.com/posts/missingdatatable1/</guid>
  <pubDate>Wed, 31 Jul 2019 00:00:00 GMT</pubDate>
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  <title>Bayesian Power Analysis with data.table, tidyverse, and brms</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/bayesiansims/</link>
  <description><![CDATA[ I’ve been studying two main topics in depth over this summer: 1) data.table and 2) Bayesian statistics. I’ve loved learning both and, in this post, I will combine them into a single workflow. ]]></description>
  <category>data.table</category>
  <category>bayesian</category>
  <category>visualization</category>
  <guid>https://tysonbarrett.com/posts/bayesiansims/</guid>
  <pubDate>Sun, 21 Jul 2019 00:00:00 GMT</pubDate>
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<item>
  <title>Why I Chose to Learn data.table (and such related things)</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/datatable/</link>
  <description><![CDATA[ The data.table package has been a fun thing to learn about this week. ]]></description>
  <category>data.table</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/datatable/</guid>
  <pubDate>Fri, 12 Jul 2019 00:00:00 GMT</pubDate>
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  <title>data.table and Text Analysis: Analyzing the Four Gospels</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/textualanalysis-bible/</link>
  <description><![CDATA[ I am really enjoying quantitative text analysis as of late, sparked by a project I helped on regarding Autoscore. I’ve also had the desire to use data.table more often in my work. A post showing data.table being used with pipes (which… ]]></description>
  <category>data.table</category>
  <category>data wrangling</category>
  <category>visualization</category>
  <guid>https://tysonbarrett.com/posts/textualanalysis-bible/</guid>
  <pubDate>Sat, 06 Jul 2019 00:00:00 GMT</pubDate>
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<item>
  <title>rinstalled for Keeping Your Packages When Updating R</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/rinstalled/</link>
  <description><![CDATA[ When we update R to a new version, the packages you downloaded for the previous version won’t get loaded. Some code has been dispersed to take care of this, but there are so notably shortcomings to this. ]]></description>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/rinstalled/</guid>
  <pubDate>Tue, 22 May 2018 00:00:00 GMT</pubDate>
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  <title>Using Jamovi: Chi Square</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/jamovi-chi/</link>
  <description><![CDATA[ This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is correlation and linear regression. ]]></description>
  <category>jamovi</category>
  <category>regression</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/jamovi-chi/</guid>
  <pubDate>Fri, 30 Mar 2018 00:00:00 GMT</pubDate>
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  <title>Using Jamovi: Logistic Regression</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/jamovi-logistic/</link>
  <description><![CDATA[ This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is logistic regression (with a binary outcome). ]]></description>
  <category>jamovi</category>
  <category>regression</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/jamovi-logistic/</guid>
  <pubDate>Thu, 29 Mar 2018 00:00:00 GMT</pubDate>
</item>
<item>
  <title>Using Jamovi: Correlation and Regression</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/jamovi-correlation-regression/</link>
  <description><![CDATA[ This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is correlation and linear regression. ]]></description>
  <category>jamovi</category>
  <category>regression</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/jamovi-correlation-regression/</guid>
  <pubDate>Wed, 28 Mar 2018 00:00:00 GMT</pubDate>
</item>
<item>
  <title>Using Jamovi: Introduction</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/jamovi/</link>
  <description><![CDATA[ Jamovi is a new piece of software that makes running most basic analyses quicker, easier, and better. Shockingly, this is a free program based on the R programming language. It has the goal of “free and open software to bridge the gap… ]]></description>
  <category>jamovi</category>
  <category>data wrangling</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/jamovi/</guid>
  <pubDate>Wed, 28 Mar 2018 00:00:00 GMT</pubDate>
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<item>
  <title>Using the afex R package for ANOVA (factorial and repeated measures)</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/afex-anova/</link>
  <description><![CDATA[ We recently switched our graduate statistics courses to R from SPSS (yay!). It has gone fairly well. However, once we get into ANOVA-type methods, particularly the repeated measures flavor of ANOVA, R isn’t as seamless as almost every… ]]></description>
  <category>regression</category>
  <category>visualization</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/afex-anova/</guid>
  <pubDate>Wed, 14 Mar 2018 00:00:00 GMT</pubDate>
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<item>
  <title>Writing Your Dissertation (or Thesis) in RMarkdown</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/r-dissertation/</link>
  <description><![CDATA[ A few days ago I announced that I had completed the requirements for a PhD in Quantitative Psychology and (maybe more interestingly) that I had written my entire dissertation in Rmarkdown. It was more of a shoutout to @RStudio but the… ]]></description>
  <category>reproducibility</category>
  <guid>https://tysonbarrett.com/posts/r-dissertation/</guid>
  <pubDate>Sun, 11 Feb 2018 00:00:00 GMT</pubDate>
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<item>
  <title>Simple Table 1 in R</title>
  <dc:creator>Tyson S. Barrett</dc:creator>
  <link>https://tysonbarrett.com/posts/more-on-table1/</link>
  <description><![CDATA[ This has been updated to work with the most recent version of the furniture package. ]]></description>
  <category>furniture</category>
  <category>data wrangling</category>
  <category>packages</category>
  <guid>https://tysonbarrett.com/posts/more-on-table1/</guid>
  <pubDate>Wed, 02 Aug 2017 00:00:00 GMT</pubDate>
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