prep_epa_df_after: Creates the post-play inputs for the Expected Points model to...

In saiemgilani/cfbscrapR: A Scraping and Aggregating Interface to the CollegeFootballData API

Description

Creates the post-play inputs for the Expected Points model to predict on for each game

Usage

prep_epa_df_after(dat)

Arguments

dat	(Data.Frame required) Clean Play-by-Play DataFrame pulled from cfb_pbp_dat()

Details

Prep for EPA calculations at the end of the play. Requires the following columns be present:

• game_id

• id_play

• drive_id

• down

• distance

• period

• yards_to_goal

• play_type

Value

dat with the following columns appended/modified:

• turnover_indicator.

• down.

• new_id.

• new_down.

• distance.

• yards_to_goal.

• yards_gained.

• turnover.

• drive_start_yards_to_goal.

• end_of_half.

• new_yardline.

• new_distance.

• new_log_ydstogo.

• new_Goal_To_Go.

• new_TimeSecsRem.

• new_Under_two.

• first_by_penalty.

• lag_first_by_penalty.

• lag_first_by_penalty2.

• first_by_yards.

• lag_first_by_yards.

• lag_first_by_yards2.

• row.

• new_series.

• firstD_by_kickoff.

• firstD_by_poss.

• firstD_by_yards.

• firstD_by_penalty.

• yds_punted.

• yds_punt_gained.

• missing_yard_flag.

saiemgilani/cfbscrapR documentation built on April 11, 2021, 4:57 p.m.