Working with Data in R

The fourth of a five-part series on using R and RStudio.

This series is based on the Data Carpentry R for Ecologists tutorial.
Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, https://datacarpentry.org/R-ecology-l...

0:00 Start
1:10 Set up
6:16 Selecting Columns & Filtering Rows
12:05 Pipes
24:13 Mutate
34:06 Summarize
52:42 Export Data

By the end of this tutorial you will be able to:
Select certain columns in a data frame with the select function
Select certain rows in a data frame with the filter function
Link the output of one function to the input of another using the pipe operator
Add new columns to a dataframe that are functions of existing columns with mutate
Use summarize, group_by, and count to split a data frame into groups of observations
Export a data frame to a .csv file