players: A character vector specifying the order in which the players will be listed; if missing, use sort(names(x))
ox,oy: Rank vectors
plotlims: Length two numeric vector giving x and y plot limits. If missing, use sensible default
...: Further arguments, passed to plot()
Details
The best way to describe this function is with an example:
> x <- c(d=2,a=3,b=1,c=4)
> x
d a b c
2 3 1 4
In the above, we see x is an order vector showing that d
came second, a came third, b came first, and c came fourth. This is difficult to deal with because one has to search through the vector to find a particular competitor, or a particular rank. This would be harder if the vector was longer. If we wish to answer the question where did competitor ‘a’ come? where did ‘b’ come? we would want an order vector in which the competitors are in alphabetical order. This is accomplished by ordertrans():
> o <- ordertrans(x)
> o
a b c d
3 1 4 2
(this is equivalent to o <- x[order(names(x))]). Object o
contains the same information as x, but presented differently. This says that a came third, b came first, c came fourth, and d came second. In particular, the Plackett-Luce order statistic is identical:
> ordervec2supp(x) == ordervec2supp(o)
> [1] TRUE
There is a nice example of ordertrans() in
inst/eurovision.Rmd, and package vignette ordertrans
provides further discussion and examples.
Function ordertrans() takes a second argument which allows the
user to arrange an order vector into the order specified.
Function ordertrans() also works in the context of hyper3
objects:
x <- c(d=2,a=3,b=1,a=4)
x
d a b a
2 3 1 4
ordertrans(x)
a a b d
3 4 1 2
Object x shows that d came second, a came third and
fourth, and b came first. We can see that ordertrans()
gives the same information in a more intelligible format. This
functionality is useful in the context of hyper3 likelihood
functions.
Returns
Returns a named vector
Author(s)
Robin K. S. Hankin
Note
The argument to ordertrans() is technically an order vector because it answers the question where did the first-named competitor come? (see the discussion at rrank ). But it is not a helpful order vector because you have to go searching through the names---which can appear in any order---for the competitor you are interested in. I guess generalised order vector might be a better description of the argument.
See Also
rrank
Examples
x <- c(e=4L,a=7L,c=6L,b=1L,f=2L,g=3L,h=5L,i=8L,d=9L)x
ordertrans(x,letters[1:9])o <- skating_table[,1]names(o)<- rownames(skating_table)o
ordertrans(o)ordertrans(sample(icons_maxp),icons)rL <- volvo_maxp # rL is "ranks Likelihood"rL[]<- rank(-volvo_maxp)r1 <- volvo_table[,1]# ranks race 1names(r1)<- rownames(volvo_table)ordertransplot(rL,r1,xlab="likelihood rank, all races",ylab="rank, race 1")