Purpose

This workshop introduces R tools for data management.

We focus on functions found in the tidyverse collection of packages, but also include tools found in base R and other packages.

We will cover the following topics:

• Review of dataframes

• Review of functions

• Data cleaning and missing values

• Data management with dplyr

• Combining datasets

• Tidy data with tidyr

• Managing dates with lubridate

• Managing strings stringr

• Factors with forcats

Data management packages used in this seminar

tidyverse: a collection of packages with tools for most aspects of data analysis, particularly strong in data import, management, and visualization. We will focus on the following packages within tidyverse:

• readr - updated data import functions like read_csv()
• dplyr - subsetting, sorting, transforming variables, grouping
• tidyr - restructuring rows and columns
• lubridate - date and time variable processing
• stringr - string variable manipulation
• forcats - factor variable manipulation