https://jonjup.netlify.app/tags/anttraits/ Recent content in antTraits on Amaltheia Hugo -- gohugo.io en-us <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">CC BY-NC 4.0</a> Mon, 25 Jan 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week-xray/ Mon, 25 Jan 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week-xray/ For this first post in the series, we will look at small but nice packge called x-ray. Just like a doctor can use x-rays whether something is wrong with your funky looking arm, we can use the x-ray package to see if there is anything wrong with our data set. As an example data set we will use the antTraits data set from the mvabund package which used before in other analyses and later in the post we will also simulate some data to highlight some features of xray. https://jonjup.netlify.app/post/analyzing-the-anttraits-data-with-cqo-and-cao/ Thu, 31 Dec 2020 00:00:00 +0000 https://jonjup.netlify.app/post/analyzing-the-anttraits-data-with-cqo-and-cao/ body { text-align: justify} In this script we will analyze the antTraits data with CAO and CQO. Elsewhere on the blog you can find an analysis of the same data using mvabund, boral and gllvm. First of we will setup the analysis by loading the required libraries. If you haven’t already done so, you will need to install the pacman R package before running this code. Additionally I will load my custom made residual plot function.