Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of…
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R
Introduction to Survey Data Analysis in R
This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression…
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R Data Management
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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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