<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>descriptive statistics on Craig Hutton, PhD</title><link>https://craig.rbind.io/categories/descriptive-statistics/</link><description>Recent content in descriptive statistics on Craig Hutton, PhD</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Copyright &amp;copy; {year} by Craig P. Hutton</copyright><lastBuildDate>Mon, 07 Dec 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://craig.rbind.io/categories/descriptive-statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>A Scientist&#39;s Guide to R: Step 3.0 - exploring data with elucidate</title><link>https://craig.rbind.io/post/2020-12-07-asgr-3-0-exploring-data-with-elucidate/</link><pubDate>Mon, 07 Dec 2020 00:00:00 +0000</pubDate><guid>https://craig.rbind.io/post/2020-12-07-asgr-3-0-exploring-data-with-elucidate/</guid><description>1 TL;DR 2 Introduction 3 Installation &amp;amp; Setup 4 Interrogating Data 4.1 checking for row copies() and dupes() 4.2 count()-ing unique values 4.3 describe()-ing missingness &amp;amp; extreme values 5 Descriptives 5.1 describe() a vector with summary statistics 5.2 grouped descriptions 5.3 describe_all() columns in a data frame 5.4 confidence intervals 6 To see, look 6.1 Anscombe’s lesson: numeric descriptions can be misleading 6.2 plot_*-ting data with elucidate 6.</description></item></channel></rss>