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R Fundamentals: Part 3

R Fundamentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

 

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R Fundamentals: Part 2

R Fundamentals Part 2: Subsetting and Reshaping

Students will be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Terms like subsetbracket notation, and logical vectors will be defined or reintroduced in Part 2.

 

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The available spaces and the waitlist for this event are both full.

R Fundamentals: Part 1

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!

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The available spaces and the waitlist for this event are both full.

Leave Only Footprints

Posted: Dec, 21, 2018

By: Patty Frontiera

Creating County Files from the Microsoft US Building Footprints Dataset

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R Bootcamp

The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include

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By Design: Graphics & Images Basics

In this hands-on workshop, we will learn how to create web graphics for your digital publishing projects and websites. We will cover topics such as: image editing tools in Photoshop; image resolution for the web; sources for free public domain and Creative Commons images; and image upload to publishing tools such as WordPress. If possible, please bring a laptop with Photoshop installed.

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Copyright and Fair Use for Digital Projects

This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project. Whether you seek to embed video from other sources for analysis, post material you scanned from a visit to the archives, add images, upload documents, or more, understanding the basics of copyright and discovering a workflow for answering copyright-related digital scholarship questions will make you more confident in your publication. We will also provide an overview of your intellectual property rights as a creator and ways to license your own work.

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Introduction to MAXQDA, Part 2 of 2

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

Participants who do not have MAXQDA are encouraged to download the 14-day free trial from the following site: https://www.maxqda.com/trial. Participants can then use their own data sets or an included sample data set to engage in hands-on learning during the workshop.

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Introduction to MAXQDA, Part 1 of 2

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

This session introduces the basic features of MAXQDA, including how to add data sources, set up the coding scheme, and apply codes.

The presenter will remain available after the workshop to provide consultations on a first-come, first-served basis.

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