Data Carpentry Ecology

Workshop overview

This is an introduction to R designed for participants with no programming experience. These lessons 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. The last lesson demonstrates how to work with databases directly from R.

This lesson assumes no prior knowledge of R or RStudio and no programming experience.

Description taken from The Data Carpentries

Participants will

  • Learn how to organize tabular data, handle date formatting, carry out quality control and quality assurance and export data to use with downstream applications.
  • Explore, summarize, and clean tabular data reproducibly.
  • Import data into R, calculate summary statistics, and create publication-quality graphics.