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Pre-bootcamp survey

Whether or not you want to attend the bootcamp, you are welcome to complete this anonymous (and light-hearted) survey. We’ll use the data drawn from it to show how one can use R and R Markdown to create reproducible data processing workflows and even full manuscripts.

Wed, Aug 21, 2019

8:30 am, Moore Building lobby

Continental breakfast, coffee and tea.

9:00 am - 12:00 pm, 210 & 211 Keller

Plenary, 210 & 211 Keller HTML slides, Zoom webinar
09:00 am • Welcome, introductions, & housekeeping
09:15 am • Why We R Here
09:45 am • Break
Slow-R Track, 211 Keller, HTML slides, Zoom webinar Fast-R Track, 210 Keller, Zoom webinar
10:00 - 11:00am • RStudio, R console, object classes & data types (Rick Gilmore) 10:00 - 11:00 am • Multilevel models, moderation, & probing interactions in lme4 (Mimi Brinberg), HTML slides , Rmd source
11:00 am - 12:00 pm • Hands on with RStudio 11:00 am - 12:00 pm • Hands on with multilevel models

Thu, Aug 22, 2019

8:30 am, Moore Building lobby

Continental breakfast, coffee and tea.

9:00 am - 12:15 pm, 210 & 211 Keller

Slow-R Track, 211 Keller, HTML slides, Zoom webinar Fast-R Track, 210 Keller, Zoom webinar
09:00 - 09:45 am • Data indexing and subsetting (Rick Gilmore) 09:00 - 10:00 am • Introduction to structural equation modeling (SEM) in lavaan (Michael Hallquist), HTML slides
09:45 - 10:30 am • Hands on practice, [HTML exercises(talks/slow-r-notebook.Rmd) 10:00 am - 10:30 am • Hands on with lavaan, HTML exercises, HTML answer key
10:30 - 10:45 am • Break 10:30 - 10:45 am • Break
10:45 - 11:30 am • Packages, scripts, & functions (Rick Gilmore) 10:45 - 11:45 am • Dynamical systems analysis using dynr (Sy-Miin Chow)
11:30 am - 12:15 pm • Hands on practice 11:45 am - 12:15 pm • Hands-on practice/demo with dynr

Fri, Aug 23, 2019

8:30 am, Moore Building lobby

Continental breakfast, coffee and tea.

9:00 am - 4:30 pm, 210 & 211 Keller

Plenary
Morning Zoom webinar
09:00 am • Data wrangling & pipelines (primarily tidyverse) (Michael Hallquist)
09:45 am • Data wrangling hands-on
10:30 am • Break
10:45 am • Data visualization (Alicia Vallorani, Nathan Hall, Holly Zaharchuk, Rebecca Janis), HTML slides, Rmd source
11:30 am • Data visualization hands-on, HTML exercises, Rmd source
12:00 pm • Lunch in Moore Building Lobby
Afternoon Zoom webinar
01:00 pm • iPRACTISE data wrangling and viz. assessment
01:30 pm • R-eproducible Science (Rick Gilmore), HTML slides, Rmd source
02:00 pm • Basic data analyses in R: correlation, regression, ANOVA, categorical data (Dan Albohn, Kayla Brown, Yiming Qian), HTML slides, Rmd source
02:45 pm • Break
03:00 pm • Hands on practice, HTML slides, Rmd source
04:00 pm • End
04:15 pm • Optional Happy Hour @ Whisker’s