Data Analysis and Visualization in R
Credit: Data Carpentry
This lesson is based on Data Carpentry’s “Data Analysis and Visualization in R for Ecologists” lessons from the ecology curricula.
Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with ecology data in R.
This is an introduction to R designed for participants with no programming experience. These lessons will be taught over three days. They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting.
Requirements
Data Carpentry’s teaching is hands-on, so participants are encouraged to use their own computers to ensure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to download the data and install everything before working through this lesson.
Data
Data files for the lesson are available and can be downloaded manually here: https://doi.org/10.6084/m9.figshare.1314459
However, we will download them directly from R during the lessons when we need them.
Contributors
The list of contributors to this lesson is available here.
Page built on: <U+0001F4C6> 2021-09-09 - <U+0001F562> 16:56:15
Data Carpentry, 2014-2019.
Questions? Feedback? Please file an issue on GitHub.
If this lesson is useful to you, consider