USA_Election_2016: USA_Election_2016

In pinnacle.data: Market Odds Data from Pinnacle

Description

US Presidential Election data 2016.

Usage

USA_Election_2016

Format

A data.frame with 5 variables:

EnteredDateTime

Time of the wager line in UTC

TeamName1

Team name of the Away Team

TeamName2

Team name of the Home Team

MoneyUS1

Moneyline US odds for Away Team

MoneyUS2

Moneyline US odds for Home Team

Details

All lines from Pinnacle for the 2016 US Presidential Election

Examples

if (require("odds.converter")) {
library(tidyverse)
# What is Hilary Clinton's the highest implied winning probability at Pinnacle?

USA_Election_2016[which.min(USA_Election_2016$MoneyUS1),"EnteredDateTime"]
odds.converter::odds.us2prob(min(USA_Election_2016$MoneyUS1))
}

# What time on election night that Trump's implied winning probability surpassed Clinton's?
if (require("tidyverse")) {
library(tidyverse)
USA_Election_2016 %>% 
 filter(MoneyUS1>MoneyUS2) %>%
 slice(1)
}

Example output

Loading required package: tibble
Loading required package: odds.converter
-- Attaching packages --------------------------------------- tidyverse 1.2.1 --
v ggplot2 3.1.1       v purrr   0.3.2  
v tidyr   0.8.3       v dplyr   0.8.0.1
v readr   1.3.1       v stringr 1.4.0  
v ggplot2 3.1.1       v forcats 0.4.0  
-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()
[1] 0.9389126
# A tibble: 1 x 5
  EnteredDateTime     TeamName1      TeamName2    MoneyUS1 MoneyUS2
  <dttm>              <chr>          <chr>           <dbl>    <dbl>
1 2016-11-09 01:25:39 Hilary Clinton Donald Trump     -101     -111

pinnacle.data documentation built on May 2, 2019, 3:34 p.m.