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Package: ISAR | ||
Type: Package | ||
Title: Introduction to Sports Analytics using R (ISAR) Data | ||
Version: 0.1.10 | ||
Version: 0.1.11 | ||
Authors@R: c( | ||
person("Ryan", "Elmore", email = "Ryan.Elmore@du.edu", role = c("cre", "aut")), | ||
person("Andrew", "Urbaczewski", email = "Andrew.Urbaczewski@du.edu", role = "aut")) | ||
person("Ryan", "Elmore", email = "Ryan.Elmore@du.edu", role = c("cre", "aut"))) | ||
Maintainer: Ryan Elmore <Ryan.Elmore@du.edu> | ||
Description: We provide data sets used in the forthcoming textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2024). The package currently contains sixteen datasets and should be published in early 2024. | ||
License: MIT + file LICENSE | ||
Encoding: UTF-8 | ||
LazyData: true | ||
Depends: R (>= 2.10) | ||
RoxygenNote: 7.1.2 | ||
RoxygenNote: 7.2.3 | ||
URL: https://github.com/rtelmore/ISAR | ||
BugReports: https://github.com/rtelmore/ISAR/issues | ||
NeedsCompilation: no | ||
Packaged: 2023-05-09 04:17:17 UTC; Ryan | ||
Author: Ryan Elmore [cre, aut], | ||
Andrew Urbaczewski [aut] | ||
Packaged: 2023-06-25 20:17:46 UTC; Ryan | ||
Author: Ryan Elmore [cre, aut] | ||
Repository: CRAN | ||
Date/Publication: 2023-05-09 17:00:02 UTC | ||
Date/Publication: 2023-06-25 20:40:03 UTC |
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# ISAR 0.1.11 | ||
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* Added three updated NBA files | ||
* The textbook is still unpublished and is why there is no reference in the description field of DESCRIPTION. We are trying to make the R package available to book reviewers. | ||
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# ISAR 0.1.10 | ||
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* Added a `NEWS.md` file to track changes to the package. |
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#' NBA Advanced Statistics (Team) for the 2022-23 Season | ||
#' | ||
#' A dataset containing the NBA Four Factor table on nba.com | ||
#' | ||
#' @format A data frame with 2460 rows and 29 variables: | ||
#' \describe{ | ||
#' \item{game_id}{Game ID on nba.com} | ||
#' \item{team_id}{Team ID on nba.com} | ||
#' \item{team_name}{Team name} | ||
#' \item{team_abbreviation}{Team abbreviation} | ||
#' \item{team_city}{Team city} | ||
#' \item{min}{Total minutes in the game} | ||
#' \item{e_off_rating}{offensive rating (effective ?)} | ||
#' \item{off_rating}{offensive rating} | ||
#' \item{e_def_rating}{defensive rating (effective ?)} | ||
#' \item{def_rating}{defensive rating} | ||
#' \item{e_net_rating}{net rating (effective ?)} | ||
#' \item{net_rating}{net rating} | ||
#' \item{ast_pct}{Assist percentage} | ||
#' \item{ast_tov}{Assists to turnover ratio} | ||
#' \item{ast_ratio}{Assist ratio} | ||
#' \item{oreb_pct}{Offensive rebound percentage} | ||
#' \item{dreb_pct}{Defensive rebound percentage} | ||
#' \item{reb_pct}{Total rebound percentage} | ||
#' \item{e_tm_tov_pct}{Turnover percentage (effective?)} | ||
#' \item{tm_tov_pct}{Turnover percentage} | ||
#' \item{efg_pct}{Effective field goal percentage} | ||
#' \item{ts_pct}{True Shooting percentage} | ||
#' \item{usg_pct}{Usage percentage} | ||
#' \item{e_usg_pct}{Usage percentage (effective?)} | ||
#' \item{e_pace}{pace (effective ?)} | ||
#' \item{pace}{pace} | ||
#' \item{pace_per40}{pace per forty minutes} | ||
#' \item{poss}{team possessions in game} | ||
#' \item{pie}{Player impact estimate} | ||
#' } | ||
#' @source \url{http://asbcllc.com/nbastatR/reference/box_scores.html} | ||
"nba_adv_team_2023" |
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#' NBA Four Factors (Team) for the 2020-21 Season | ||
#' | ||
#' A dataset containing the NBA Four Factor table on nba.com | ||
#' | ||
#' @format A data frame with 2460 rows and 14 variables: | ||
#' \describe{ | ||
#' \item{game_id}{Game ID on nba.com} | ||
#' \item{team_id}{Team ID on nba.com} | ||
#' \item{team_name}{Team name on nba.com} | ||
#' \item{team_abbreviation}{Team abbreviation on nba.com} | ||
#' \item{team_city}{Team city} | ||
#' \item{min}{Minutes in the game} | ||
#' \item{efg_pct}{Effective field goal percentage} | ||
#' \item{fta_rate}{Free throw rate of team} | ||
#' \item{tm_tov_pct}{Turnover percentage of opponent} | ||
#' \item{oreb_pct}{Offensive rebound percentage of opponent} | ||
#' \item{opp_efg_pct}{Effective field goal percentage of opponent} | ||
#' \item{opp_fta_rate}{Free throw rate of opponent} | ||
#' \item{opp_tov_pct}{Turnover percentage of opponent} | ||
#' \item{opp_oreb_pct}{Offensive rebound percentage of opponent} | ||
#' } | ||
#' @source \url{http://asbcllc.com/nbastatR/reference/box_scores.html} | ||
"nba_ff_team_2023" |
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#' NBA Game Logs for the 2022-23 Season | ||
#' | ||
#' A dataset containing the NBA Games table on nba.com | ||
#' | ||
#' @format A data frame with 2460 rows and 29 variables: | ||
#' \describe{ | ||
#' \item{season_id}{Season in which the game was played (YYYY)} | ||
#' \item{team_id}{Team ID on nba.com} | ||
#' \item{team_abbreviation}{Team abbreviation on nba.com} | ||
#' \item{team_name}{Team name on nba.com} | ||
#' \item{game_id}{Game ID on nba.com} | ||
#' \item{game_date}{Date in YYYY-MM-DD} | ||
#' \item{matchup}{Team One vs. Team Two} | ||
#' \item{wl}{Win or Loss} | ||
#' \item{min}{Minutes in the game} | ||
#' \item{fgm}{Team Field goals made} | ||
#' \item{fga}{Team Field goal attempts} | ||
#' \item{fg_pct}{Team field goal percentage} | ||
#' \item{fg3m}{Team three point field goals made} | ||
#' \item{fg3a}{Team three point field goal attempts} | ||
#' \item{fg3_pct}{Team three point field goal percentage} | ||
#' \item{ftm}{Team free throws made} | ||
#' \item{fta}{Team free throw attempts} | ||
#' \item{ft_pct}{Team free throw percentage} | ||
#' \item{oreb}{Team offensive rebounds} | ||
#' \item{dreb}{Team defensive rebounds} | ||
#' \item{reb}{Team total rebounds} | ||
#' \item{ast}{Team total assists} | ||
#' \item{stl}{Team total steals} | ||
#' \item{blk}{Team total blocks} | ||
#' \item{tov}{Team total turnovers} | ||
#' \item{pf}{Team total personal fouls} | ||
#' \item{pts}{Team total points scored} | ||
#' \item{plus_minus}{Margin of game as Team score minus Opponent score} | ||
#' \item{video_available}{Logical if game video exists} | ||
#' } | ||
#' @source \url{http://asbcllc.com/nbastatR/reference/game_logs.html} | ||
"nba_games_2023" |
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