https://jonjup.netlify.app/categories/r-package-of-the-week/ Recent content in R package of the week 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, 20 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week/ Mon, 20 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week/ This week we will have a look at the corrr package. It includes some nice possibilities to visualize correlations between mutliple variables. I will provide some examples using the varechem data set from the vegan package. First, load the data and have a look at them. data(varechem) head(varechem) ## N P K Ca Mg S Al Fe Mn Zn Mo Baresoil Humdepth ## 18 19.8 42.1 139.9 519. https://jonjup.netlify.app/post/r-package-of-the-week-dataexplorer/ Tue, 09 Feb 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week-dataexplorer/ install.packages(&quot;DataExplorer&quot;) library(DataExplorer) data = readRDS(&quot;collected_site_scores.RDS&quot;) This weeks package is similar to last weeks. Just like xray Seibelt (2017), DataExplorer Cui (2020) is used for exploratory data analysis. To highlight the features and capabilities of the package we will use a data set of different diatom metrics derived from a large data set of diatoms, which I unfortunately am not able to share with you. These metrics were computed with the diaThor package, which I will cover in a later post.