This workshop introduces R packages and functions that help users import, transform and manage their data in preparation for analysis. The seminar focuses on the “tidy data” philosophy encouraged y the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed. Topics include data import, transforming variables, string functions, missing…
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R
Regression Models with Count Data
Regression models for data with a count outcome is part of the family of generalized linear models. This workshop is designed to give an overview on regression model with count data. The workshop includes a broad range of analyses available for count regression models such as Poisson regression, negative binomial, zero-inflated Poisson, and zero-inflated negative…
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R Markdown
R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar…
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Software Carpentry Workshop – R
REGISTER HERE This is a two day workshop. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Workshop Website: https://ucla-data-archive.github.io/2020-01-15-ucla/ (for more information on…
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Introduction to R
R is a programming environment that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The…
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Introduction to R
R is a programming environment that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The…
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Decomposing Interactions in R (Part II)
Description This is the second part of the seminar on decomposing interactions in R. Methods of decomposing continuous-by-categorical and categorical-by-categorical interactions will be reinforced with hands-on exercises. Requirements A laptop with R installed is required for the hands-on exercises; and prior attendance of the first part of the seminar is recommended but not required. Download…
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Decomposing Interactions in R
In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. Interactions can be decomposed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) graphing. This workshop will demonstrate how to do all three analyses in…
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Running Applications on the Hoffman2 Cluster: Case Studies
This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run…
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Introduction to ggplot2
The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R. In this interactive seminar, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively. The workshop is interactive, in which attendees are encouraged to participate in…
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