prepare_bdb_week: Prepare a week of data from the 2021 Big Data Bowl
In guga31bb/ngscleanR: Helper Functions for Cleaning Player Tracking Data

Description Usage Arguments Details

View source: R/cleaning_functions.R

Prepare a week of data from the 2021 Big Data Bowl (data from 2018 season). To use this, you'll need to have the BDB data saved and unzipped somewhere in a directory on your computer.

prepare_bdb_week(
  week,
  dir = "../nfl-big-data-bowl-2021/input",
  trim_frame = 25,
  frames_after_throw = 10,
  keep_frames = NULL,
  drop_positions = c("QB")
)

`week`	Get and prepare this week of data (1-17)
`dir`	Location of directory where BDB data lives. Default is unzipped to adjacent directory (default = "../nfl-big-data-bowl-2021/input")
`trim_frame`	If a throw, sack, etc happens before this frame, drop the play (default = 25; i.e. before 1.5 seconds into the play).
`frames_after_throw`	If a frame happened more than this many frames after throw, drop the frame.
`keep_frames`	Keep these frames. Default: NULL (ie keep all frames).
`drop_positions`	Drop these positions from the returned data (default = "QB").

Loads raw .csvs from 2021 BDB, cleans, rotates, applies frame trimming, calculates orientation to QB, drops plays without at least 3 offensive and defensive players.

guga31bb/ngscleanR documentation built on Dec. 20, 2021, 1:47 p.m.