R/get_defense.R

In PatrickChodowski/NBAr: Get NBA data to R faster and easier than ever before!

#' @name get_defense
#' @rdname get_defense
#' @title Download defense data for Players and Teams
#'
#' @description  Download and process NBA.com defense data from http://stats.nba.com/players/defense-dash-overall/, http://stats.nba.com/teams/defense-dash-overall/ etc.
#'
#' @param season Number of the year in which season started
#' @param type Specify if data is for Team or Player   c("Player","Team")
#' @param defense_category Specify which defense category data you need. c("Overall","3+Pointers","2+Pointers","Less+Than+6Ft","Less+Than+10Ft","Greater+Than+15Ft")
#' @param per_mode Specify if you want data divided per game or totals. Default parameter is "PerGame". c("PerGame","Totals")
#' @param season_type Choose data for preseason, regular season or postseason. Default parameter is "Regular Season". c("Regular Season","Playoffs","Pre Season","All Star")
#' @param season_segment Choose season half for the data. Empty string means whole season and it is set by default. c("","Post All-Star","Pre All-Star")
#' @param game_segment Choose game half for the data. Empty string means whole game and it is set by default. c("","First Half","Overtime","Second Half")
#' @param period Choose game period for the data. 0 means whole game and it is set by default. as.character(c(0:4))
#' @param date_from Day from which data will be collected. It is set in MM/DD/YYYY format and by default is not specified, so data is calculated for whole season.
#' @param date_to Day to which data will be collected. It is set in MM/DD/YYYY format and by default is not specified, so data is calculated for whole season.
#' @param outcome Filter by game result. It can be a loss (L) or a win (W). By default parameter is an empty string, so both are taken into account. c("","W","L")
#' @param opponent_team_id Filter by opponent's team id from nba.com database. Default "0" means all teams.
#' @param team_id Specify team id from nba.com database. Default "0" means all teams.
#' @param verbose Defalt TRUE - prints additional information
#'
#' @return Dataset from stats.nba.com
#'
#' @author Patrick Chodowski, \email{Chodowski.Patrick@@gmail.com}
#' @keywords NBAr, defense, players, teams,
#'
#' @examples
#'
#' Season <- 2016
#' Type <- c("Player","Team")[1]
#'
#' defense_category <- c("Overall",
#'                      "3+Pointers",
#'                      "2+Pointers",
#'                      "Less+Than+6Ft",
#'                      "Less+Than+10Ft",
#'                      "Greater+Than+15Ft"
#'                      )[1]
#'
#' per_mode <- c("PerGame","Totals")[1]
#' season_type <- c("Regular+Season","Playoffs","Pre+Season","All+Star")[1]
#' season_segment <- c("","Post+All-Star","Pre+All-Star")[1]
#' game_segment <- c("","First+Half","Overtime","Second+Half")[1]
#' period <- as.character(c(0:4))[1]
#' date_from <- "01/01/2017"
#' date_to <- "04/30/2017"
#' outcome <- c("","W","L")[1]
#' opponent_team_id <- 0
#' team_id <- 0
#'
#' defense.dataset <- get_defense(
#'                               season = 2016,
#'                               type = 'Team',
#'                               defense_category = 'Overall',
#'                               per_mode = 'Totals',
#'                               season_type,
#'                               season_segment,
#'                               game_segment,
#'                               date_from,
#'                               date_to,
#'                               outcome,
#'                               period,
#'                               opponent_team_id,
#'                               team_id
#'                               )
#' @importFrom  lubridate second minute
#' @import dplyr
#' @import tidyr
#' @import httr
#' @importFrom purrr set_names
#' @import tibble
#' @importFrom glue glue
#' @importFrom magrittr %>%
#' @importFrom jsonlite fromJSON
#' @export get_defense



get_defense <- function(season,
                       type,
                       defense_category,
                       per_mode = "PerGame",
                       season_type = "Regular+Season",
                       season_segment = "",
                       game_segment ="",
                       date_from = "",
                       date_to = "",
                       outcome = "",
                       period = "0",
                       opponent_team_id = "0",
                       team_id = "0",
                       verbose = TRUE
){
  tryCatch({

    season_id <- paste(season, as.numeric(substring(season,3,4))+1,sep="-")
    type2 <- ifelse(type == "Player","",type)

    link <- glue("https://stats.nba.com/stats/leaguedashpt{type2}defend?",
               "College=&Conference=&Country=&DateFrom={date_from}",
               "&DateTo={date_to}",
               "&Division=&DraftPick=&DraftYear=&GameScope=&GameSegment={game_segment}",
               "&Height=&LastNGames=0&LeagueID=00&Location=&DefenseCategory={defense_category}",
               "&Month=0&OpponentTeamID={opponent_team_id}",
               "&Outcome={outcome}",
               "&PORound=0&PaceAdjust=N&PerMode={per_mode}",
               "&Period={period}",
               "&PlayerExperience=&PlayerPosition=&PlusMinus=N&Rank=N&Season={season_id}",
               "&SeasonSegment={season_segment}",
               "&SeasonType={season_type}",
               "&ShotClockRange=&StarterBench=&TeamID={team_id}",
               "&VsConference=&VsDivision=&Weight=")

    verbose_print(verbose, link)
    result_sets_df <- rawToChar(GET(link, add_headers(.headers = c('Referer' = 'http://google.com', 'User-Agent' = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36',
                                                                   'connection' = 'keep-alive',
                                                                   'Accept' = 'application/json',
                                                                   'Host' = 'stats.nba.com',
                                                                   'x-nba-stats-origin'= 'stats')))$content) %>% fromJSON()

    rsn <- ifelse(type == "Player", "LeagueDashPTDefend", "LeagueDashPtTeamDefend")
    index <- which(result_sets_df$resultSets$name == rsn)

    dataset <- result_sets_df$resultSets$rowSet[index][1] %>%
      as.data.frame(stringsAsFactors=F) %>%
      as_tibble() %>%
      mutate_if(check_if_numeric, as.numeric) %>%
      set_names(tolower(unlist(result_sets_df$resultSets$headers[index])))
    verbose_dataset(verbose, dataset)

    return(dataset)}
, error=function(e) print(e$message))
}