ONLINE COURSE – Introduction to Data Wrangling and Data Visualization using R (DWDV01)
https://www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/ This course will be delivered live but will also have all sessions recorded allowing you to take the course in your own time should you choose. Course Overview:In this course, we provide a comprehensive practical introduction to data wrangling and data visualization using R. In the coverage of data wrangling, we will cover tools provided by R’s tidyverse, including dplyr, tidyr, purrr, etc. We will cover how to read data of different types into R using readr and related packages, and then cover in detail all the dplyr tools such as select, filter, mutate, summarize, etc. We will also cover the pipe operator (%>%) to create data wrangling pipelines that take raw messy data on the one end and return cleaned tidy data on the other. We will also how to reshape data using pivots, and how to merge data sets using merge operations. For the topic of visualization, we provide a comprehensive introduction to data visualization in R using ggplot. We begin by covering the major types of plots for visualizing distributions of univariate data: histograms, density plots, barplots, and Tukey boxplots. In all of these cases, we will consider how to visualize multiple distributions simultaneously on the same plot using different colours and “facet” plots. We then turn to the visualization of bivariate data using scatterplots. Here, we will explore how to apply linear and nonlinear smoothing functions to the data, how to add marginal histograms to the scatterplot, add labels to points, and scale each point by the value of a third variable. Email oliverhoo...@prstatistics.com with any questions -- Oliver Hooker PhD. PR statistics Species Distribution Modeling using R 21 September 2021 - 30 September Introduction to eco-phylogenetics and comparative analyses using R 22 September 2021 - 28 September 2021 Multivariate analysis of ecological communities in R with the VEGAN package 4 October 2021 - 8 October Introduction to Data Wrangling and Data Visualization using R 4 October 2021 - 8 October 2021 Introduction to Bayesian modelling with INLA 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R 18 October 2021 - 27 October 2021 FREE 1 DAY INTRO TO R AND R STUDIO 20 October 2021 Introduction to generalised linear models using R and Rstudio 3 November 2021 - 4 November 2021 Introduction to mixed models using R and Rstudio 10 November 2021 - 11 November 2021 Introduction to Machine Learning and Deep Learning using R 17 November 2021 - 18 November 2021 Model selection and model simplification 24 November 2021 - 25 November 2021 Species distribution modelling with Bayesian statistics in R 6 December 2021 - 10 December 2021 [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
