Nothing

```
#' @demo Two-dimensional archetypal soccer players; illustrative
#' example from talk "On the power of modern statistical methodology
#' in soccer analysis -- Archetypal soccer players" by Eugster,
#' Abedieh, Schnell, and Augustin (2011)
library("SportsAnalytics")
library("archetypes")
library("RColorBrewer")
library("vcd")
col_pal <- brewer.pal(3, "Set1")
col_black <- rgb(0, 0, 0, 0.2)
### Data: ############################################################
data("EURO4PlayerSkillsSep11")
### Two-dimensional dataset:
dat <- subset(EURO4PlayerSkillsSep11,
Position != "Goalkeeper" & TopSpeed > 0,
select = c(Name, Team, Position, Technique, TopSpeed))
mat <- as.matrix(subset(dat, select = c(Technique, TopSpeed)))
rownames(mat) <- NULL
plot(mat, pch = 19, col = col_black,
xlim = c(60, 100), ylim = c(60, 100))
### Archetypes: ######################################################
set.seed(1234)
as <- stepArchetypes(mat, k = 1:5)
screeplot(as)
a3 <- bestModel(as[[3]])
### Archetypal soccer players:
parameters(a3)
barplot(a3, mat, percentiles = TRUE)
### Visualization:
xyplot(a3, mat, data.col = col_black,
# chull = chull(mat),
atypes.col = col_pal[1], atypes.pch = NA,
xlim = c(60, 100), ylim = c(60, 100))
points(parameters(a3), pch = 4, col = col_pal[1])
text(parameters(a3), labels = sprintf("A%s", 1:3), pos = c(1, 3, 4))
### Alpha coefficients:
ternaryplot(coef(a3, "alphas")[, c(1, 3, 2)],
dimnames = sprintf("A%s", c(1, 3, 2)),
border = "gray", col = col_black, main = NULL,
labels = "outside", grid = TRUE)
### Player interpretation: ###########################################
players <- function(which) {
players <- list()
players$which <- which
players$mat <- mat[which, ]
players$coef <- coef(a3, "alphas")[which, ]
players$dat <- dat[which, ]
players
}
players_xyplot <- function(players, col) {
xyplot(a3, mat, data.col = col_black,
atypes.col = col_pal[1], atypes.pch = NA,
xlim = c(60, 100), ylim = c(60, 100))
points(parameters(a3), pch = 4, col = col_pal[1])
text(parameters(a3), labels = sprintf("A%s", 1:3), pos = c(1, 3, 4))
points(players$mat, pch = 19, col = col)
}
players_ternaryplot <- function(players, col) {
cols <- rep(col_black, nrow(mat))
cols[players$which] <- col
ternaryplot(coef(a3, "alphas")[, c(1, 3, 2)],
dimnames = sprintf("A%s", c(1, 3, 2)), pch = 19,
border = "gray", col = cols, main = NULL,
labels = "outside", grid = TRUE)
}
### Archetypal players:
which <- apply(coef(a3, "alphas"), 2, which.max)
atypes <- players(which)
atypes$dat
atypes$coef
players_xyplot(atypes, col_pal[1])
players_ternaryplot(atypes, col_pal[1])
### Best players:
which <- which(coef(a3, "alphas")[, 1] == 0)
best <- players(which)
best$dat
best$coef
players_xyplot(best, col_pal[3])
players_ternaryplot(best, col_pal[3])
### Random players:
#which <- sample(5, nrow(mat))
which <- c(170, 217, 429, 1512, 1610)
rand <- players(which)
rand$dat
rand$coef
players_xyplot(rand, col_pal[2])
players_ternaryplot(rand, col_pal[2])
```

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.