This lesson introduces the mutate() and group_by() dplyr functions - which allow you to aggregate or summarize time series data by a particular field - in this case you will aggregate data by day to get daily precipitation totals for Boulder during the 2013 floods.
last updated: 03 Sep 2019
This lesson illustrated what your final stream discharge homework plots should look like for the week. Use all of the skills that you've learned in the previous lessons to complete it.
last updated: 03 Sep 2019
Learn how to summarize time series data by day, month or year with Tidyverse pipes in R.
last updated: 03 Sep 2019
Learn how to extract and plot data by a range of dates using pipes in R.
last updated: 03 Sep 2019
Times series data can be manipulated efficiently in R. Learn how to work with, plot and subset data with dates in R.
last updated: 30 Mar 2020
Learn how to plot data and customize your plots using ggplot in R.
last updated: 03 Sep 2019
Missing data in R can be caused by issues in data collection and / or processing and presents challenges in data analysis. Learn how to address missing data values in R.
last updated: 03 Sep 2019
Learn how to import and plot data in R using the read_csv & qplot / ggplot functions.
last updated: 03 Sep 2019
This tutorial introduces vectors in R. It also introduces the differences between strings, numbers and logical or boolean values (True / False) in R.
last updated: 03 Sep 2019
This lesson covers creating variables or objects in R. It also introduces some of the basic data types or classes including strings and numbers. This lesson is designed for someone who has not used R before.
last updated: 03 Sep 2019
This lesson introduces the basic syntax associated with the R scientific programming language. You will learn about assignment operators (<-), comments and basic functions that are available to use in R to perform basic tasks including head(), qplot() to quickly plot data and others. This lesson is designed for someone who has not used R before. You will work with precipitation and stream discharge data for Boulder County.
last updated: 30 Mar 2020
This tutorial covers ways to get help when you are not sure how to perform a task in R.
last updated: 03 Sep 2019
This lesson covers the basics of clean coding meaning that you ensure that the code that you write is easy for someone else to understand. The lesson will briefly cover style guides, consistent spacing, literate object naming best practices.
last updated: 30 Mar 2020
Learn how to create a well-organized working directory to store your course data.
last updated: 03 Sep 2019
Learn key principles for naming and organizing files and folders in a working directory.
last updated: 03 Sep 2019
Learn what a package is in R and how to install packages to work with your data.
last updated: 03 Sep 2019
Learn how to work with R using the RStudio application.
last updated: 03 Sep 2019
Learn how to download and install R and RStudio on your computer.
last updated: 30 Mar 2020