Lec11

Announcements

• Point out GitHub side-by-side comparisons
• WTF do I include/exclude in my analyses? Answer: the idea of data/information reduction, courtesy of Jorge Luis Borges’s “On Exactitude in Science”.
• One R package to rule them all: Introducing the tidyverse package. Click here for more info.

In-Class

• Slides:
  • Two paradigms for regression: for explanation (more common) and for prediction
  • Intro to Logistic Regression
• In-class exercise:
  • Packages to install:
    • tidyverse: install/load ggplot2, dplyr, tidyr, readr, etc in one shot
    • This package gets autoinstalled with tidyverse: the broom package for converting statistical analysis objects from R into tidy format
  • Code: Lec11.R
  • Data: Load profiles.csv from HW-2

After-Class Updates