Prediction: Elections and Regression

This content is from Fall 2022. Go to Fall 2023 site

Readings

• For prediction and loops, see QSS 4.1 (you can skip 4.1.1)
• For regression, see either MD Ch 5 or QSS 4.2 (you can skip 4.2.5).

Data

• Reinstall the Gov 50 data package that has new data for this week:

remotes::install_github("mattblackwell/gov50data")

• If you cannot install the package, you can download the data locally at
  • poll20.csv
  • pres20.csv
  • national_poll20.csv

library(tidyverse)
polls20 <- read_csv("polls20.csv")
pres20 <- read_csv("pres20.csv")
national_polls20 <- read_csv("national_polls20.csv")

• You may need to install the lubridate package if it’s not installed:

install.packages("lubridate")

• For Thursday, you may want to reinstall the gov50date package and install the broom package:

install.packages("broom")

Slides and Code

• Tuesday (10/11) lecture: Prediction and loops
  • PDF of slides as I present them
  • PDF of handout version of slides (no incremental slides)
• Tuesday (10/13) lecture: Regression
  • PDF of slides as I present them
  • PDF of handout version of slides (no incremental slides)