R Archive

Intermediate R: Cleaning Data and Automating Tasks – Part 2 of 2

Explore how to efficiently clean and prepare messy data for analysis, and how to automate repetitive

Intermediate R: Cleaning Data and Automating Tasks – Part 1 of 2

Explore how to efficiently clean and prepare messy data for analysis, and how to automate repetitive

Intermediate R: Thinking in R – Part 2 of 2

This workshop is for intermediate R programmers. It will explore the underlying computational model of the

Intermediate R: Thinking in R – Part 1 of 2

This workshop is for intermediate R programmers. It will explore the underlying computational model of the

Introduction to Collaborative and Reproducible Research Practices with R (4-Part Series) Part 4 of 4

Register now for the 4-day pre-fall Introduction to Research Computing series covering basic coding skills and

Introduction to Collaborative and Reproducible Research Practices with R (4-Part Series) Part 3 of 4

Register now for the 4-day pre-fall Introduction to Research Computing series covering basic coding skills and

Introduction to Collaborative and Reproducible Research Practices with R (4-Part Series) Part 2 of 4

Register now for the 4-day pre-fall Introduction to Research Computing series covering basic coding skills and

Introduction to Collaborative and Reproducible Research Practices with R (4-Part Series) Part 1 of 4

Register now for the 4-day pre-fall Introduction to Research Computing series covering basic coding skills and
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Upcoming Intro Workshops: Python & R

DataLab is offering two free workshop series this September and we invite you to apply! Introduction
Working with Cal-Adapt Climate Data in R (#maptimeDavis & D-RUG)

Working with Cal-Adapt Climate Data in R (#maptimeDavis & D-RUG)

Learn how to use data from Cal-Adapt, California's official go-to source for downscaled climate data.