In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing…

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# R

## Missing Data in R

The purpose of this seminar is to discuss techniques and introduce some useful packages in R for handling missing data. In particular, we will focus on multiple imputation and how to perform it using the R package, mice: “Multivariate Imputation by Chained Equations”. As prerequisite to this seminar, we suggest participants have basic knowledge in…

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## Introduction to Regression in R

This seminar will introduce some fundamental topics in regression analysis using R in three parts. The first part will begin with a brief overview of the R environment, and then simple and multiple regression using R. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity…

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## Introduction to R

This workshop introduces the functionality of R, with a focus on data analysis. Topics include: using RStudio, R coding basics, importing and cleaning data, simple data analysis functions, and brief introductions to R graphics (base and ggplot2) and RMarkdown. This workshop is interactive with coding exercises throughout. Any questions about this workshop can be emailed…

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## Hoffman2 Happy Hour: Using Anaconda on Hoffman2

Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and…

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## R Graphics: Introduction to ggplot2

This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative and…

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## 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 and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and…

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## Hoffman2 Happy Hour: Loading and unloading applications via environmental modules (R, anaconda, etc. examples) + Q&A

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring…

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## Using Container on HPC resources

This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms. Users can create a ‘virtual’ OS to easily install any application and transfer it to any system with container software. This workshop will cover how to build and use containers…

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## Introduction to Generalized Linear Regression Models in R

Registration: https://ucla.zoom.us/meeting/register/tJUud-6uqTwiGtNZEtt6vy5VApsl6AE8BJVM In this workshop we discuss generalized linear models and why and when we need to use them. We will discuss several generalized linear modes such as logistic, Poisson, and negative binomial and how we run them in R. The seminar briefly reviews regression concepts as necessary, but it is assumed that participants have…

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