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Drop CFB support; pump version to 1.4
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@dennisbrookner
dennisbrookner committed Aug 16, 2024
1 parent bea2c72 commit c3f6cc4
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3 changes: 1 addition & 2 deletions DESCRIPTION
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Expand Up @@ -2,7 +2,7 @@ Package: puntr
Type: Package
Title: Analysis of Punting
License: MIT
Version: 1.3
Version: 1.4
Authors@R: c(
person("Dennis", "Brookner", role = c("aut", "cre"), email = "[email protected]"),
person("Raphael", "LadenGuindon", role = "aut"))
Expand All @@ -13,7 +13,6 @@ URL: https://puntalytics.github.io/puntr, https://github.com/Puntalytics/puntr
Encoding: UTF-8
LazyData: true
Imports:
cfbfastR,
dplyr,
forcats,
ggimage,
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162 changes: 81 additions & 81 deletions R/college.R
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@@ -1,84 +1,84 @@
#' Import college punting data
#' @description Import college punting data for seasons in the scope of \code{cfbfastR} (back to 2014).
#' This function is a wrapper around \code{cfbfastR::load_cfb_pbp}.
#' @param years A year or range of years to be scraped
#' @return A tibble \code{punts} of punts in the \code{cfbfastR} format
#' @examples
#' \dontrun{
#' import_college_punts(2018:2021)
#' #' Import college punting data
#' #' @description Import college punting data for seasons in the scope of \code{cfbfastR} (back to 2014).
#' #' This function is a wrapper around \code{cfbfastR::load_cfb_pbp}.
#' #' @param years A year or range of years to be scraped
#' #' @return A tibble \code{punts} of punts in the \code{cfbfastR} format
#' #' @examples
#' #' \dontrun{
#' #' import_college_punts(2018:2021)
#' #' }
#' #' @export
#' import_college_punts <- function(years) {
#' punts <- purrr::map_df(years, function(x){
#' cfbfastR::load_cfb_pbp(x) %>%
#' dplyr::filter(punt == 1) %>%
#' dplyr::mutate(season = x)
#' })
#' return(punts)
#' }
#' @export
import_college_punts <- function(years) {
punts <- purrr::map_df(years, function(x){
cfbfastR::load_cfb_pbp(x) %>%
dplyr::filter(punt == 1) %>%
dplyr::mutate(season = x)
})
return(punts)
}

#' Convert college data to \code{puntr} format
#'
#' @description Rename columns and process data such that the output can be plugged directly into \code{puntr::calculate_all},
#' and the output of that can be plugged directly into \code{puntr::create_mini} (or \code{puntr::create_miniY}).
#' @param punts A data frame containing punts in the cfbfastR format
#' @param power_five Logical, defaults to TRUE to include only punters from Power 5 teams
#' @return A tibble \code{punts} in a format usable for \code{puntr::calculate_all}
#' @examples
#' \dontrun{
#' college_to_pro(punts)
#' #' Convert college data to \code{puntr} format
#' #'
#' #' @description Rename columns and process data such that the output can be plugged directly into \code{puntr::calculate_all},
#' #' and the output of that can be plugged directly into \code{puntr::create_mini} (or \code{puntr::create_miniY}).
#' #' @param punts A data frame containing punts in the cfbfastR format
#' #' @param power_five Logical, defaults to TRUE to include only punters from Power 5 teams
#' #' @return A tibble \code{punts} in a format usable for \code{puntr::calculate_all}
#' #' @examples
#' #' \dontrun{
#' #' college_to_pro(punts)
#' #' }
#' #' @export
#' college_to_pro <- function(punts, power_five = TRUE) {
#'
#' punts <- punts %>%
#' #dplyr::rename(season = year) %>%
#' dplyr::mutate(GrossYards = play_text %>%
#' stringr::str_extract("punt for [:digit:]+") %>%
#' stringr::str_extract("[:digit:]+") %>%
#' as.numeric()) %>%
#' dplyr::filter(!is.na(GrossYards)) %>%
#' dplyr::mutate(return_yards = as.numeric(yds_punt_return),
#' return_yards = ifelse(is.na(return_yards),0,return_yards),
#' return_yards = ifelse(stringr::str_detect(play_text,"loss"),-1*return_yards,return_yards)) %>%
#' #dplyr::filter(!is.na(return_yards)) %>%
#' dplyr::mutate(punter_player_name = play_text %>%
#' stringr::str_extract(".+(?= punt for)")) %>%
#' dplyr::mutate(YardsFromOwnEndZone = as.integer(100 - yards_to_goal)) %>%
#' dplyr::filter(YardsFromOwnEndZone <= 70) %>%
#' dplyr::mutate(touchback = play_text %>% stringr::str_detect("ouchback")) %>%
#' dplyr::mutate(return_yards = dplyr::if_else(touchback, 0, return_yards)) %>%
#' dplyr::mutate(NetYards = GrossYards - return_yards) %>%
#' dplyr::mutate(GrossYards = dplyr::if_else(touchback, as.numeric(GrossYards-20), as.numeric(GrossYards))) %>%
#' dplyr::mutate(punt_out_of_bounds = play_text %>% stringr::str_detect("out.of.bounds")) %>%
#' dplyr::mutate(punt_fair_catch = play_text %>% stringr::str_detect("air catch")) %>%
#' dplyr::mutate(punt_downed = play_text %>% stringr::str_detect("downed")) %>%
#' dplyr::mutate(PD = dplyr::if_else(YardsFromOwnEndZone >=41, 1, 0)) %>%
#' #rename columns to avoid breaking calculate_all()
#' dplyr::rename(ep_before_cfb = ep_before,
#' ep_after_cfb = ep_after)
#'
#'
#'
#' # Pull from data-repo to avoid requiring cfbd API key
#' #team_info <- cfbfastR::cfbd_team_info()
#' team_info <- readRDS(url("https://github.com/saiemgilani/cfbfastR-data/blob/master/team_info/rds/cfb_team_info_2020.rds?raw=true"))
#'
#' if(power_five) {
#' team_info <- team_info %>%
#' dplyr::filter(conference %in% c("Pac-12","SEC","Big Ten","Big 12","ACC"))
#' }
#'
#' team_info <- team_info %>%
#' dplyr::mutate(logo = purrr::map(logos,magrittr::extract2,1),
#' logo = as.character(logo)) %>%
#' dplyr::select(school, logo, color, alt_color) %>%
#' dplyr::rename(team_abbr = school,
#' team_logo_espn = logo,
#' team_color = color,
#' team_color2 = alt_color)
#'
#' punts <- punts %>% dplyr::inner_join(team_info, by = c("pos_team" = "team_abbr"))
#'
#' return(punts)
#' }
#' @export
college_to_pro <- function(punts, power_five = TRUE) {

punts <- punts %>%
#dplyr::rename(season = year) %>%
dplyr::mutate(GrossYards = play_text %>%
stringr::str_extract("punt for [:digit:]+") %>%
stringr::str_extract("[:digit:]+") %>%
as.numeric()) %>%
dplyr::filter(!is.na(GrossYards)) %>%
dplyr::mutate(return_yards = as.numeric(yds_punt_return),
return_yards = ifelse(is.na(return_yards),0,return_yards),
return_yards = ifelse(stringr::str_detect(play_text,"loss"),-1*return_yards,return_yards)) %>%
#dplyr::filter(!is.na(return_yards)) %>%
dplyr::mutate(punter_player_name = play_text %>%
stringr::str_extract(".+(?= punt for)")) %>%
dplyr::mutate(YardsFromOwnEndZone = as.integer(100 - yards_to_goal)) %>%
dplyr::filter(YardsFromOwnEndZone <= 70) %>%
dplyr::mutate(touchback = play_text %>% stringr::str_detect("ouchback")) %>%
dplyr::mutate(return_yards = dplyr::if_else(touchback, 0, return_yards)) %>%
dplyr::mutate(NetYards = GrossYards - return_yards) %>%
dplyr::mutate(GrossYards = dplyr::if_else(touchback, as.numeric(GrossYards-20), as.numeric(GrossYards))) %>%
dplyr::mutate(punt_out_of_bounds = play_text %>% stringr::str_detect("out.of.bounds")) %>%
dplyr::mutate(punt_fair_catch = play_text %>% stringr::str_detect("air catch")) %>%
dplyr::mutate(punt_downed = play_text %>% stringr::str_detect("downed")) %>%
dplyr::mutate(PD = dplyr::if_else(YardsFromOwnEndZone >=41, 1, 0)) %>%
#rename columns to avoid breaking calculate_all()
dplyr::rename(ep_before_cfb = ep_before,
ep_after_cfb = ep_after)



# Pull from data-repo to avoid requiring cfbd API key
#team_info <- cfbfastR::cfbd_team_info()
team_info <- readRDS(url("https://github.com/saiemgilani/cfbfastR-data/blob/master/team_info/rds/cfb_team_info_2020.rds?raw=true"))

if(power_five) {
team_info <- team_info %>%
dplyr::filter(conference %in% c("Pac-12","SEC","Big Ten","Big 12","ACC"))
}

team_info <- team_info %>%
dplyr::mutate(logo = purrr::map(logos,magrittr::extract2,1),
logo = as.character(logo)) %>%
dplyr::select(school, logo, color, alt_color) %>%
dplyr::rename(team_abbr = school,
team_logo_espn = logo,
team_color = color,
team_color2 = alt_color)

punts <- punts %>% dplyr::inner_join(team_info, by = c("pos_team" = "team_abbr"))

return(punts)
}

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