R/tidy_games_events.R
In jplecavalier/tidynhl: An Easy Way to Extract NHL Data in a Tidy Format
Defines functions
load_games_events
tidy_games_events
Documented in
tidy_games_events
#' Get a tidy dataset of NHL games events
#'
#' The function `tidy_games_events()` is meant to be a user-friendly way of connecting events of
#' different types in selected NHL games.
#'
#' @param games_id Integer vector indicating the NHL ID of selected games for which the events will
#' be returned. The required format is 'xxxxyyzzzz' where
#' - 'xxxx' is the first 4 digits of a valid NHL season ID,
#' - 'yy' is one of "02" (regular) or "03" (playoffs),
#' - 'zzzz' is a 4-digit number attributed to a single game.
#' @param time_elapsed *(optional)* Logical indicating if the time sould be indicated as elapsed
#' (`TRUE`) or remaining (`FALSE`). Default to `TRUE`.
#' @param keep_id *(optional)* Logical indicating if the IDs of different dimensions should be
#' returned. However, note that `game_id` will always be returned. Default to `FALSE`.
#' @param return_datatable *(optional)* Logical indicating whether or not a data.table should be
#' returned. Default can be set globally with `options("tidynhl.data.table")`.
#'
#' @examples
#' # Allowing large outputs for the pkgdown website
#' options(width = 1000L)
#'
#' # Get events of the 2021-01-13 MTL @ TOR game
#' tidy_games_events(2020020003L)
#'
#' # Get events of both the 2021-01-13 MTL @ TOR and 2021-01-14 BOS @ NJD games with time remaining
#' # instead of time elapsed, and keeping the IDs
#' tidy_games_events(
#' games_id = c(2020020003L, 2020020007L),
#' time_elapsed = FALSE,
#' keep_id = TRUE
#' )
#'
#' @export
tidy_games_events <- function(
games_id,
time_elapsed = TRUE,
keep_id = FALSE,
return_datatable = getOption("tidynhl.data.table", TRUE)
) {
games_id <- assert_games_id(games_id)
assert_time_elapsed(time_elapsed)
assert_keep_id(keep_id)
assert_return_datatable(return_datatable)
to_load <- !sapply(paste0("game-events-", games_id), exists, envir = data, USE.NAMES = FALSE)
load_games_events(games_id[which(to_load)])
events <- rbindlist(mget(paste0("game-events-", games_id), envir = data))
facs <- colnames(events)[which(sapply(events, is.factor))]
events[, (facs) := lapply(mget(facs), as.character)]
setorder(events, game_id, event_id)
if (time_elapsed) {
events[, period_time_remaining := NULL]
} else {
events[, period_time_elapsed := NULL]
}
if (!keep_id) {
drop_ids(events, "game_id")
}
add_copyright(events)
if (return_datatable) {
events[]
} else {
as.data.frame(events)
}
}
load_games_events <- function(games_id) {
# TODO: Cache all games in same data.tables
games <- data.table(game_id = games_id)
games[, url := paste0("game/", game_id, "/feed/live")]
games[, api_return := get_stats_api(url)]
games[, rbindlist(mapply(function(game_id, api_return) {
plays <- create_data_table(api_return$liveData$plays$allPlays)
plays[, game_id := game_id]
plays[, away_id := api_return$gameData$teams$away$id]
plays[, home_id := api_return$gameData$teams$home$id]
validate_columns(plays, list(
game_id = NA_integer_,
away_id = NA_integer_,
home_id = NA_integer_,
about.eventIdx = NA_integer_,
result.eventTypeId = NA_character_,
players = list(),
about.period = NA_integer_,
about.ordinalNum = NA_character_,
about.periodType = NA_character_,
about.periodTime = NA_character_,
about.periodTimeRemaining = NA_character_,
team.id = NA_integer_,
coordinates.x = NA_real_,
coordinates.y = NA_real_,
result.secondaryType = NA_character_,
result.gameWinningGoal = NA,
result.emptyNet = NA,
result.strength.code = NA_character_
))
# periods <- create_data_table(api_return$liveData$linescore$periods)
# validate_columns(periods, list(
# away.rinkSide = NA_character_,
# home.rinkSide = NA_character_
# ))
# asis_periods <- periods[away.rinkSide == "left" & home.rinkSide == "right", num]
# mirror_periods <- periods[away.rinkSide == "right" & home.rinkSide == "left", num]
#
# plays[, mirror := NA]
# plays[about.period %in% asis_periods, mirror := FALSE]
# plays[about.period %in% mirror_periods, mirror := TRUE]
events <- plays[
result.eventTypeId %in% c("BLOCKED_SHOT", "FACEOFF", "GIVEAWAY", "GOAL", "HIT", "MISSED_SHOT",
"PENALTY", "SHOT", "TAKEAWAY"),
.(
game_id = game_id,
event_id = about.eventIdx,
event_type = factor_event_types(tolower(result.eventTypeId)),
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining
)
]
shots <- plays[result.eventTypeId %in% c("MISSED_SHOT", "BLOCKED_SHOT", "SHOT", "GOAL"), .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
shot_x = coordinates.x,
shot_y = coordinates.y,
shot_type = factor_shot_types(result.secondaryType),
shot_result = factor_shot_results(result.eventTypeId),
block_x = coordinates.x,
block_y = coordinates.y
)]
players_bind <- shots[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := shots[, rep(event_id, sapply(players, nrow))]]
shots_summary <- players_bind[, .(
shooter_player_id = .SD[playerType %in% c("Scorer", "Shooter"), player.id],
blocker_player_id = .SD[playerType == "Blocker", player.id],
goalie_player_id = .SD[playerType %in% c("Goalie", "Unknown"), player.id]
), .(event_id)]
cols <- c("shooter_player_id", "blocker_player_id", "goalie_player_id")
shots[shots_summary, (cols) := mget(cols), on = .(event_id)]
shots[shot_result != "blocked", shooter_team_id := team_id]
shots[shot_result == "blocked", blocker_team_id := team_id]
shots[team_id == home_id & shot_result == "blocked", shooter_team_id := away_id]
shots[team_id == away_id & shot_result == "blocked", shooter_team_id := home_id]
shots[team_id == home_id & shot_result %in% c("goal", "shot", "missed"),
goalie_team_id := away_id]
shots[team_id == away_id & shot_result %in% c("goal", "shot", "missed"),
goalie_team_id := home_id]
shots[is.na(goalie_player_id), goalie_team_id := NA_integer_]
shots[period_type != "shootout", mirror := FALSE]
plays[about.periodType != "SHOOTOUT", mirror := FALSE]
if (shots[, .N > 0L]) {
ratio <- shots[period_type != "shootout" & shooter_team_id == home_id,
sum(((1L - 2L * period_id %% 2L) * shot_x) > 0L, na.rm = TRUE) / .N]
mirror_id <- shots[period_type != "shootout", seq(1L + (ratio > 0.5), max(period_id), 2L)]
shots[period_id %in% mirror_id, mirror := TRUE]
plays[about.period %in% mirror_id, mirror := TRUE]
shots[as.integer(substr(game_id, 1L, 4L)) < 2014L & substr(game_id, 5L, 6L) == "02" &
period_type == "overtime",
mirror := !mirror]
plays[as.integer(substr(game_id, 1L, 4L)) < 2014L & substr(game_id, 5L, 6L) == "02" &
about.periodType == "OVERTIME",
mirror := !mirror]
}
shots[period_type == "shootout" & shooter_team_id == away_id, mirror := shot_x < 0]
shots[period_type == "shootout" & shooter_team_id == home_id, mirror := shot_x > 0]
plays[about.periodType == "SHOOTOUT" & team.id == away_id, mirror := coordinates.x < 0]
plays[about.periodType == "SHOOTOUT" & team.id == home_id, mirror := coordinates.x > 0]
shots[shot_result != "blocked", `:=`(
block_x = NA_real_,
block_y = NA_real_
)]
shots[shot_result == "blocked", `:=`(
shot_x = NA_real_,
shot_y = NA_real_
)]
shots[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
goals <- plays[result.eventTypeId == "GOAL", .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
shot_x = coordinates.x,
shot_y = coordinates.y,
shot_type = factor_shot_types(result.secondaryType),
goal_gwg = result.gameWinningGoal,
goal_en = result.emptyNet,
goal_strength = factor_goal_strengths(tolower(result.strength.code)),
mirror = mirror
)]
players_bind <- goals[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := goals[, rep(event_id, sapply(players, nrow))]]
goals_summary <- players_bind[, .(
for_goal_id = .SD[playerType == "Scorer", player.id],
for_assist_1_id = .SD[playerType == "Assist", player.id[1L]],
for_assist_2_id = .SD[playerType == "Assist", player.id[2L]],
against_goalie_id = .SD[playerType == "Goalie", player.id]
), .(event_id)]
cols <- c("for_goal_id", "for_assist_1_id", "for_assist_2_id", "against_goalie_id")
goals[goals_summary, (cols) := mget(cols), on = .(event_id)]
goals[, for_team_id := team_id]
goals[team_id == home_id, against_team_id := away_id]
goals[team_id == away_id, against_team_id := home_id]
goals[period_type == "shootout", `:=`(
goal_gwg = FALSE,
goal_en = FALSE,
goal_strength = factor_goal_strengths("so"),
period_time_elapsed = "00:00",
period_time_remaining = "00:00"
)]
goals[period_type == "shootout" & for_team_id == away_id, mirror := shot_x < 0]
goals[period_type == "shootout" & for_team_id == home_id, mirror := shot_x > 0]
goals[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
faceoffs <- plays[result.eventTypeId == "FACEOFF", .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
faceoff_x = coordinates.x,
faceoff_y = coordinates.y,
mirror = mirror
)]
players_bind <- faceoffs[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := faceoffs[, rep(event_id, sapply(players, nrow))]]
faceoffs_summary <- players_bind[, .(
winner_player_id = .SD[playerType == "Winner", player.id],
loser_player_id = .SD[playerType == "Loser", player.id]
), .(event_id)]
cols <- c("winner_player_id", "loser_player_id")
faceoffs[faceoffs_summary, (cols) := mget(cols), on = .(event_id)]
faceoffs[, winner_team_id := team_id]
faceoffs[team_id == home_id, loser_team_id := away_id]
faceoffs[team_id == away_id, loser_team_id := home_id]
faceoffs[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
assign(paste0("game-events-", game_id), events, data)
assign(paste0("game-shots-", game_id), shots, data)
assign(paste0("game-goals-", game_id), goals, data)
assign(paste0("game-faceoffs-", game_id), faceoffs, data)
NULL
}, game_id = game_id, api_return = api_return, SIMPLIFY = FALSE), fill = TRUE)]
}
jplecavalier/tidynhl documentation built on July 28, 2024, 3:48 a.m.
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Defines functions load_games_events tidy_games_events
Documented in tidy_games_events
#' Get a tidy dataset of NHL games events
#'
#' The function `tidy_games_events()` is meant to be a user-friendly way of connecting events of
#' different types in selected NHL games.
#'
#' @param games_id Integer vector indicating the NHL ID of selected games for which the events will
#' be returned. The required format is 'xxxxyyzzzz' where
#' - 'xxxx' is the first 4 digits of a valid NHL season ID,
#' - 'yy' is one of "02" (regular) or "03" (playoffs),
#' - 'zzzz' is a 4-digit number attributed to a single game.
#' @param time_elapsed *(optional)* Logical indicating if the time sould be indicated as elapsed
#' (`TRUE`) or remaining (`FALSE`). Default to `TRUE`.
#' @param keep_id *(optional)* Logical indicating if the IDs of different dimensions should be
#' returned. However, note that `game_id` will always be returned. Default to `FALSE`.
#' @param return_datatable *(optional)* Logical indicating whether or not a data.table should be
#' returned. Default can be set globally with `options("tidynhl.data.table")`.
#'
#' @examples
#' # Allowing large outputs for the pkgdown website
#' options(width = 1000L)
#'
#' # Get events of the 2021-01-13 MTL @ TOR game
#' tidy_games_events(2020020003L)
#'
#' # Get events of both the 2021-01-13 MTL @ TOR and 2021-01-14 BOS @ NJD games with time remaining
#' # instead of time elapsed, and keeping the IDs
#' tidy_games_events(
#' games_id = c(2020020003L, 2020020007L),
#' time_elapsed = FALSE,
#' keep_id = TRUE
#' )
#'
#' @export
tidy_games_events <- function(
games_id,
time_elapsed = TRUE,
keep_id = FALSE,
return_datatable = getOption("tidynhl.data.table", TRUE)
) {
games_id <- assert_games_id(games_id)
assert_time_elapsed(time_elapsed)
assert_keep_id(keep_id)
assert_return_datatable(return_datatable)
to_load <- !sapply(paste0("game-events-", games_id), exists, envir = data, USE.NAMES = FALSE)
load_games_events(games_id[which(to_load)])
events <- rbindlist(mget(paste0("game-events-", games_id), envir = data))
facs <- colnames(events)[which(sapply(events, is.factor))]
events[, (facs) := lapply(mget(facs), as.character)]
setorder(events, game_id, event_id)
if (time_elapsed) {
events[, period_time_remaining := NULL]
} else {
events[, period_time_elapsed := NULL]
}
if (!keep_id) {
drop_ids(events, "game_id")
}
add_copyright(events)
if (return_datatable) {
events[]
} else {
as.data.frame(events)
}
}
load_games_events <- function(games_id) {
# TODO: Cache all games in same data.tables
games <- data.table(game_id = games_id)
games[, url := paste0("game/", game_id, "/feed/live")]
games[, api_return := get_stats_api(url)]
games[, rbindlist(mapply(function(game_id, api_return) {
plays <- create_data_table(api_return$liveData$plays$allPlays)
plays[, game_id := game_id]
plays[, away_id := api_return$gameData$teams$away$id]
plays[, home_id := api_return$gameData$teams$home$id]
validate_columns(plays, list(
game_id = NA_integer_,
away_id = NA_integer_,
home_id = NA_integer_,
about.eventIdx = NA_integer_,
result.eventTypeId = NA_character_,
players = list(),
about.period = NA_integer_,
about.ordinalNum = NA_character_,
about.periodType = NA_character_,
about.periodTime = NA_character_,
about.periodTimeRemaining = NA_character_,
team.id = NA_integer_,
coordinates.x = NA_real_,
coordinates.y = NA_real_,
result.secondaryType = NA_character_,
result.gameWinningGoal = NA,
result.emptyNet = NA,
result.strength.code = NA_character_
))
# periods <- create_data_table(api_return$liveData$linescore$periods)
# validate_columns(periods, list(
# away.rinkSide = NA_character_,
# home.rinkSide = NA_character_
# ))
# asis_periods <- periods[away.rinkSide == "left" & home.rinkSide == "right", num]
# mirror_periods <- periods[away.rinkSide == "right" & home.rinkSide == "left", num]
#
# plays[, mirror := NA]
# plays[about.period %in% asis_periods, mirror := FALSE]
# plays[about.period %in% mirror_periods, mirror := TRUE]
events <- plays[
result.eventTypeId %in% c("BLOCKED_SHOT", "FACEOFF", "GIVEAWAY", "GOAL", "HIT", "MISSED_SHOT",
"PENALTY", "SHOT", "TAKEAWAY"),
.(
game_id = game_id,
event_id = about.eventIdx,
event_type = factor_event_types(tolower(result.eventTypeId)),
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining
)
]
shots <- plays[result.eventTypeId %in% c("MISSED_SHOT", "BLOCKED_SHOT", "SHOT", "GOAL"), .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
shot_x = coordinates.x,
shot_y = coordinates.y,
shot_type = factor_shot_types(result.secondaryType),
shot_result = factor_shot_results(result.eventTypeId),
block_x = coordinates.x,
block_y = coordinates.y
)]
players_bind <- shots[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := shots[, rep(event_id, sapply(players, nrow))]]
shots_summary <- players_bind[, .(
shooter_player_id = .SD[playerType %in% c("Scorer", "Shooter"), player.id],
blocker_player_id = .SD[playerType == "Blocker", player.id],
goalie_player_id = .SD[playerType %in% c("Goalie", "Unknown"), player.id]
), .(event_id)]
cols <- c("shooter_player_id", "blocker_player_id", "goalie_player_id")
shots[shots_summary, (cols) := mget(cols), on = .(event_id)]
shots[shot_result != "blocked", shooter_team_id := team_id]
shots[shot_result == "blocked", blocker_team_id := team_id]
shots[team_id == home_id & shot_result == "blocked", shooter_team_id := away_id]
shots[team_id == away_id & shot_result == "blocked", shooter_team_id := home_id]
shots[team_id == home_id & shot_result %in% c("goal", "shot", "missed"),
goalie_team_id := away_id]
shots[team_id == away_id & shot_result %in% c("goal", "shot", "missed"),
goalie_team_id := home_id]
shots[is.na(goalie_player_id), goalie_team_id := NA_integer_]
shots[period_type != "shootout", mirror := FALSE]
plays[about.periodType != "SHOOTOUT", mirror := FALSE]
if (shots[, .N > 0L]) {
ratio <- shots[period_type != "shootout" & shooter_team_id == home_id,
sum(((1L - 2L * period_id %% 2L) * shot_x) > 0L, na.rm = TRUE) / .N]
mirror_id <- shots[period_type != "shootout", seq(1L + (ratio > 0.5), max(period_id), 2L)]
shots[period_id %in% mirror_id, mirror := TRUE]
plays[about.period %in% mirror_id, mirror := TRUE]
shots[as.integer(substr(game_id, 1L, 4L)) < 2014L & substr(game_id, 5L, 6L) == "02" &
period_type == "overtime",
mirror := !mirror]
plays[as.integer(substr(game_id, 1L, 4L)) < 2014L & substr(game_id, 5L, 6L) == "02" &
about.periodType == "OVERTIME",
mirror := !mirror]
}
shots[period_type == "shootout" & shooter_team_id == away_id, mirror := shot_x < 0]
shots[period_type == "shootout" & shooter_team_id == home_id, mirror := shot_x > 0]
plays[about.periodType == "SHOOTOUT" & team.id == away_id, mirror := coordinates.x < 0]
plays[about.periodType == "SHOOTOUT" & team.id == home_id, mirror := coordinates.x > 0]
shots[shot_result != "blocked", `:=`(
block_x = NA_real_,
block_y = NA_real_
)]
shots[shot_result == "blocked", `:=`(
shot_x = NA_real_,
shot_y = NA_real_
)]
shots[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
goals <- plays[result.eventTypeId == "GOAL", .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
shot_x = coordinates.x,
shot_y = coordinates.y,
shot_type = factor_shot_types(result.secondaryType),
goal_gwg = result.gameWinningGoal,
goal_en = result.emptyNet,
goal_strength = factor_goal_strengths(tolower(result.strength.code)),
mirror = mirror
)]
players_bind <- goals[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := goals[, rep(event_id, sapply(players, nrow))]]
goals_summary <- players_bind[, .(
for_goal_id = .SD[playerType == "Scorer", player.id],
for_assist_1_id = .SD[playerType == "Assist", player.id[1L]],
for_assist_2_id = .SD[playerType == "Assist", player.id[2L]],
against_goalie_id = .SD[playerType == "Goalie", player.id]
), .(event_id)]
cols <- c("for_goal_id", "for_assist_1_id", "for_assist_2_id", "against_goalie_id")
goals[goals_summary, (cols) := mget(cols), on = .(event_id)]
goals[, for_team_id := team_id]
goals[team_id == home_id, against_team_id := away_id]
goals[team_id == away_id, against_team_id := home_id]
goals[period_type == "shootout", `:=`(
goal_gwg = FALSE,
goal_en = FALSE,
goal_strength = factor_goal_strengths("so"),
period_time_elapsed = "00:00",
period_time_remaining = "00:00"
)]
goals[period_type == "shootout" & for_team_id == away_id, mirror := shot_x < 0]
goals[period_type == "shootout" & for_team_id == home_id, mirror := shot_x > 0]
goals[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
faceoffs <- plays[result.eventTypeId == "FACEOFF", .(
game_id = game_id,
event_id = about.eventIdx,
team_id = team.id,
away_id = away_id,
home_id = home_id,
players = players,
period_id = about.period,
period_label = about.ordinalNum,
period_type = factor_period_types(tolower(about.periodType)),
period_time_elapsed = about.periodTime,
period_time_remaining = about.periodTimeRemaining,
faceoff_x = coordinates.x,
faceoff_y = coordinates.y,
mirror = mirror
)]
players_bind <- faceoffs[, rbindlist(players, fill = TRUE)]
validate_columns(players_bind, list(
playerType = NA_character_,
player.id = NA_integer_
))
players_bind[, event_id := faceoffs[, rep(event_id, sapply(players, nrow))]]
faceoffs_summary <- players_bind[, .(
winner_player_id = .SD[playerType == "Winner", player.id],
loser_player_id = .SD[playerType == "Loser", player.id]
), .(event_id)]
cols <- c("winner_player_id", "loser_player_id")
faceoffs[faceoffs_summary, (cols) := mget(cols), on = .(event_id)]
faceoffs[, winner_team_id := team_id]
faceoffs[team_id == home_id, loser_team_id := away_id]
faceoffs[team_id == away_id, loser_team_id := home_id]
faceoffs[, `:=`(
team_id = NULL,
home_id = NULL,
away_id = NULL,
players = NULL
)]
assign(paste0("game-events-", game_id), events, data)
assign(paste0("game-shots-", game_id), shots, data)
assign(paste0("game-goals-", game_id), goals, data)
assign(paste0("game-faceoffs-", game_id), faceoffs, data)
NULL
}, game_id = game_id, api_return = api_return, SIMPLIFY = FALSE), fill = TRUE)]
}
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