get_similar_players {BAwiR} | R Documentation |
Similar players to archetypoids
Description
Similar players to the archetypoids computed with
archetypoids
according to a similarity threshold.
Usage
get_similar_players(atype, threshold, alphas, cases, data, variables, compet, season)
Arguments
atype |
Number assigned to the archetypoid (1:length( |
threshold |
Similarity threshold. |
alphas |
Alpha values of all the players. |
cases |
Archetypoids. |
data |
Data frame with the statistics. |
variables |
Statistics used to compute the archetypoids. |
compet |
Competition. |
season |
Season. |
Value
Data frame with the features of the similar players.
Author(s)
Guillermo Vinue
See Also
Examples
(s0 <- Sys.time())
# Turn off temporarily some negligible warnings from the
# archetypes package to avoid missunderstandings. The code works well.
library(Anthropometry)
df <- do_join_games_bio("ACB", acb_games_1718, acb_players_1718)
df1 <- do_add_adv_stats(df)
df2 <- do_stats(df1, "Total", "2017-2018", "ACB", "Regular Season")
df3 <- df2[which(df2$Position == "Guard")[1:31], c("MP", "PTS", "Name")]
preproc <- preprocessing(df3[,1:2], stand = TRUE, percAccomm = 1)
set.seed(4321)
suppressWarnings(lass <- stepArchetypesRawData(preproc$data, 1:2,
numRep = 20, verbose = FALSE))
res <- archetypoids(2, preproc$data, huge = 200, step = FALSE, ArchObj = lass,
nearest = "cand_ns", sequ = TRUE)
# The S3 class of anthrCases from Anthropometry has been updated.
cases <- anthrCases(res)
df3[cases,] # https://github.com/r-quantities/units/issues/225
alphas <- round(res$alphas, 4)
df3_aux <- df2[which(df2$Position == "Guard")[1:31], ]
get_similar_players(1, 0.99, alphas, cases, df3_aux, c("MP", "PTS"),
unique(df3_aux$Compet), unique(df3_aux$Season))
s1 <- Sys.time() - s0
s1
[Package BAwiR version 1.3.2 Index]