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#' College Hockey Men's Division I 2009-10 results
#'
#' Game results from American College Hockey Men's Division I composite
#' schedule 2009-2010.
#'
#' The Division I ice hockey teams are arranged in six conferences: Atlantic
#' Hockey, Central Collegiate Hockey Association, College Hockey America, ECAC
#' Hockey, Hockey East and the Western Collegiate Hockey Association, all part
#' of the National Collegiate Athletic Association. The composite schedule
#' includes within conference games and between conference games.
#'
#' The data set here contains only games from the regular season, the results
#' of which determine the teams that play in the NCAA national tournament.
#' There are six automatic bids that go to the conference tournament champions,
#' the remaining 10 teams are selected based upon ranking under the NCAA's
#' system of pairwise comparisons
#' (\url{https://www.collegehockeynews.com/info/?d=pwcrpi}). Some have argued
#' that Bradley-Terry rankings would be fairer
#' (\url{https://www.collegehockeynews.com/info/?d=krach}).
#'
#' @name icehockey
#' @docType data
#' @format A data frame with 1083 observations on the following 6 variables.
#' \describe{
#' \item{date}{a numeric vector}
#' \item{visitor}{a
#' factor with 58 levels `Alaska Anchorage` ... `Yale`}
#' \item{v_goals}{a numeric vector}
#' \item{opponent}{a factor
#' with 58 levels `Alaska Anchorage` ... `Yale`}
#' \item{o_goals}{a numeric vector}
#' \item{conference}{a factor
#' with levels `AH`, `CC`, `CH`, `EC`, `HE`,
#' `NC`, `WC`}
#' \item{result}{a numeric vector: 1 if visitor
#' won, 0.5 for a draw and 0 if visitor lost}
#' \item{home.ice}{a logical
#' vector: 1 if opponent on home ice, 0 if game on neutral ground} }
#' @references Schlobotnik, J. Build your own rankings:
#' \url{http://www.elynah.com/tbrw/2010/rankings.diy.shtml}.
#'
#' College Hockey News \url{https://www.collegehockeynews.com/}.
#'
#' Selections for 2010 NCAA tournament:
#' \url{https://www.espn.com/college-sports/news/story?id=5012918}.
#' @source \url{http://www.collegehockeystats.net/0910/schedules/men}.
#' @keywords datasets
#' @examples
#'
#' ### Fit the standard Bradley-Terry model
#' standardBT <- BTm(outcome = result,
#' player1 = visitor, player2 = opponent,
#' id = "team", data = icehockey)
#'
#' ## Bradley-Terry abilities
#' abilities <- exp(BTabilities(standardBT)[,1])
#'
#' ## Compute round-robin winning probability and KRACH ratings
#' ## (scaled abilities such that KRACH = 100 for a team with
#' ## round-robin winning probability of 0.5)
#' rankings <- function(abilities){
#' probwin <- abilities/outer(abilities, abilities, "+")
#' diag(probwin) <- 0
#' nteams <- ncol(probwin)
#' RRWP <- rowSums(probwin)/(nteams - 1)
#' low <- quantile(abilities, 0.45)
#' high <- quantile(abilities, 0.55)
#' middling <- uniroot(function(x) {sum(x/(x+abilities)) - 0.5*nteams},
#' lower = low, upper = high)$root
#' KRACH <- abilities/middling*100
#' cbind(KRACH, RRWP)
#' }
#'
#' ranks <- rankings(abilities)
#' ## matches those produced by Joe Schlobotnik's Build Your Own Rankings
#' head(signif(ranks, 4)[order(ranks[,1], decreasing = TRUE),])
#'
#' ## At one point the NCAA rankings gave more credit for wins on
#' ## neutral/opponent's ground. Home ice effects are easily
#' ## incorporated into the Bradley-Terry model, comparing teams
#' ## on a "level playing field"
#' levelBT <- BTm(result,
#' data.frame(team = visitor, home.ice = 0),
#' data.frame(team = opponent, home.ice = home.ice),
#' ~ team + home.ice,
#' id = "team", data = icehockey)
#'
#' abilities <- exp(BTabilities(levelBT)[,1])
#' ranks2 <- rankings(abilities)
#'
#' ## Look at movement between the two rankings
#' change <- factor(rank(ranks2[,1]) - rank(ranks[,1]))
#' barplot(xtabs(~change), xlab = "Change in Rank", ylab = "No. Teams")
#'
#' ## Take out regional winners and look at top 10
#' regional <- c("RIT", "Alabama-Huntsville", "Michigan", "Cornell", "Boston College",
#' "North Dakota")
#'
#' ranks <- ranks[!rownames(ranks) %in% regional]
#' ranks2 <- ranks2[!rownames(ranks2) %in% regional]
#'
#' ## compare the 10 at-large selections under both rankings
#' ## with those selected under NCAA rankings
#' cbind(names(sort(ranks, decr = TRUE)[1:10]),
#' names(sort(ranks2, decr = TRUE)[1:10]),
#' c("Miami", "Denver", "Wisconsin", "St. Cloud State",
#' "Bemidji State", "Yale", "Northern Michigan", "New Hampshire",
#' "Alsaka", "Vermont"))
#'
#'
"icehockey"
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