Lab activities - R version
Lab 1: 23 Aug
- Lab 1 activities Read this first
- Lab 1 data sheet for rocks and randomization exercises
- Introduction to R Getting started with R.
- Reading .csv files, numeric and graphical summaries using base graphics
- Reading .csv files, numeric and graphical summaries using tidyverse commands and ggplot graphics
Lab 2: 30 Aug
- Reading .csv files, numeric and graphical summaries using base graphics
- Reading .csv files, numeric and graphical summaries using tidyverse commands and ggplot graphics
- creativity2.r R code file: reading .txt files, doing a randomization test
- creativity2.pdf Explanation of code in creativity2.r.
- Lab 2 self assessment
Lab 3: 6 Sept
Lab 4: 13 Sept
Lab 5: 20 Sept
- hamburger.r R code file (Wilcoxon rank sum, diagnostics, transformations)
This week, focus on the diagnostics and log transformation material.
- hamburger.pdf Explanation of code in hamburger.r.
- patty.r R Code file to averaging groups of observations
- patty.pdf Explanation of code in patty.r
- patty.txt Hamburger patty data with multiple measurements
- Lab 5 self assessment
- fishprice.csv fish price data (wide format) for self assessment
- fishlong.csv fish price data (long format) for self assessment
Lab 6: 27 Sept, self assessment on choosing an analysis, material for HW after the exam
Lab 7: 11 Oct
Lab 8: 18 Oct
Lab 9: 25 Oct
Lab 10: 1 Nov
Lab 11: 15 Nov - lots of files this week. Not all needed for HW 11
- Labeling plots, scatterplot matrices, correlation,
Multiple regression
- Quadratic and cross product terms
- Running analyses on subgroups, Models with both continuous and grouping variables
- Self assessment on multiple regression
Lab 12: 29 Nov
Material not covered in class