Pre-bootcamp survey

Please 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 like this and even full manuscripts like this.

Thursday, August 16, 2018, 9:00 am - 4:30 pm

104 Keller, 104 Rackley, and Moore Building Lobby

Plenary, 104 Keller
09:00 am • Welcome, introductions, & housekeeping
09:15 am • Why We R Here
09:45 am • Break
Slow-R Track, 104 Keller Fast-R Track, 104 Rackley
10:00 am - 12:00pm • RStudio, R console, object classes & data types (Rick Gilmore) 10:00am - 12:00 pm • Introduction to exploratory factor analysis (Nilam Ram)
Lunch, Moore 1st floor lobby
12:00 pm • Lunch, Moore Building Lobby
Slow-R Track, 104 Keller Fast-R Track, 104 Rackley
1:00 pm - 1:45 pm • Data indexing and subsetting (Rick Gilmore) 1:00 pm - 2:00 pm • Introduction to structural equation modeling in lavaan (Michael Hallquist)
1:45 pm - 3:00 pm • Packages, scripts, & functions (Rick Gilmore) 02:00 pm - 3:00 pm • Parallel computing, batch processing, and big data in R (Michael Hallquist)
03:00 - 03:15 pm • Break 03:00 pm - 03:15pm • Break
Plenary, 104 Keller
03:15 pm • R-eproducible Science with R (Rick Gilmore)
04:30 pm • End

Friday, August 17, 2018, 9:00 am - 4:30 pm

104 Keller

Plenary
09:00 am • Welcome back and Q&A
09:15 am • Data wrangling & pipelines (primarily tidyverse)
10:30 am • Break
10:45 am • Data visualization (primarily ggplot2)
12:00 pm • Lunch (pizza & drinks thanks to SLEIC), Moore Building Lobby
01:00 pm • Core programming skills: loops, apply functions, writing functions
02:00 pm • Best practices in R: script management, versioning, modular coding
02:45 pm • Break
03:00 pm • Basic data analyses in R: correlation, regression, ANOVA, categorical data
04:30 pm • End
04:45 pm • Optional Happy Hour @ Whisker’s