Effect size measures for linear multilevel models in R
In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining ...
Find out more »Effect size measures for linear multilevel models in R
In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining ...
Find out more »HPC@UCLA: Batch Job Submission on H2C (the Hoffman2 Cluster)
Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to ...
Find out more »Overcoming Common Issues on Hoffman2 Cluster
In this workshop, we will explore several frequent challenges encountered when using the Hoffman2 cluster. Attendees will gain practical knowledge on how to address these issues independently, enhancing their efficiency ...
Find out more »Collecting Research Data on the Go
Mobile App Research allows for flexible collection of data. Being “in the field” can now happen anytime and anywhere. This is true across a broad spectrum of disciplines today including ...
Find out more »Using GitHub for Continuous Integration/Continuous Deployment
Do you write and version code in Github? In this workshop you will learn how to use Github Actions to automatically and securely deploy your source code across your infrastructure. ...
Find out more »Intro to Digital Accessibility in Research
What is digital accessibility? How can the research enterprise be more prepared to be inclusive of people with disabilities. What should an IRB be evaluating in terms of digital accessibility? ...
Find out more »Hoffman2 Happy Hour: Using RStudio on Hoffman2
Join us for an engaging session in the Hoffman2 Happy Hour Series as we explore how to effectively use RStudio on Hoffman2. This hands-on workshop will demonstrate the use of ...
Find out more »Using Containers on HPC Resources
Containers are revolutionizing the way scientific software is run on High-Performance Computing (HPC) platforms by providing a ‘virtual’ OS that simplifies application installation and portability. This session will guide you ...
Find out more »Building Containers for HPC
Building on the concepts introduced in Using Containers on HPC Resources, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how ...
Find out more »Introduction to Databases pt.1
Databases are central tools for organizing research. In addition to storing data, databases allow for data to be quantified in meaningful ways. The process of creating a database can also ...
Find out more »Planning for Accessibility in Research Proposals and Practices
In this training you will lean learn about the following topics: • Introduction to DCP and Services for Researchers • Training and Resources for Accessible Research • Accessible Research Tools ...
Find out more »Introduction to Graph Databases
Graph databases are at the frontier of data science, humanities, and AI computing. Built to handle dense, highly interconnected data, graph databases underpin many social networks, big data applications, and ...
Find out more »Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates ...
Find out more »Big Data on HPC
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data ...
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