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June 15-16, 2017
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9:30am - 12:30pm
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Kennedy 236
For this workshop, participants are expected to bring their laptops with R and R Studio already installed.
Here are pre-workshop preparation steps:
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Download the workshop materials from this repository using the "Clone or download" button and click the "Download ZIP" link. Unzip the file locally (for example, Desktop or My Documents folder)
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Ensure you have R and R Studio installed on your machine. Use the links and follow the instructions to download each locally.
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After installing R and R Studio, open R Studio and run the following command to ensure you have all of the R libraries we'll use:
packages <- c("tidyverse","apaStyle","ggthemes","lme4","multilevel")
install.packages(packages, dependencies = TRUE)
Part | Subject | ||
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1 | R Essentials & Data Management | code | HTML output |
2a | Visualizations: ggplot2 introduction | code | HTML output |
Part | Subject | ||
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2b | Visualizations: Interactive plots | code | HTML output |
3 | Regression Modeling | code | HTML output |
Here are multiple links and references we'll mention during the workshop.
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Brooke Anderson's R Programming for Research