Nothing
knitr::opts_chunk$set(echo = TRUE) library("hyper2") library("magrittr") options("digits" = 5) abbreviated <- TRUE # change to FALSE for full names
knitr::include_graphics(system.file("help/figures/hyper2.png", package = "hyper2"))
(takes five minute to run without cache; the time is spent in chunk dotest)
To cite the hyper2 package in publications, please use
@hankin2017_rmd. The file eurovision2022_jury_pre_null.txt, used
below, refers to the jury vote for the 2022 Eurovision Song contest,
pre-nullification; data supplied by Riley Uttley.
First we specify the matrix as appearing in the Wikipedia page:
eurovision_table <- as.matrix(read.table("eurovision2022_jury_pre_null.txt", header = TRUE)) excluded <- c(2, 8, 12, 14,15,16) contestants <- c( "AU", # Australia 1 "AZ", # Azerbaijan 2 excluded "BE", # Belgijm 3 "CY", # Cyprus 4 "CZ", # Czech republic 5 "EE", # Estonia 6 "FI", # Finland 7 "GE", # Georgia 8 excluded "IE", # Ireland 9 "IL", # Israel 10 "MT", # Malta 11 "ME", # Montenegro 12 excluded "MK", # North Macedonia 13 "PL", # Poland 14 excluded "RO", # Romania 15 excluded "SM", # San Marino 16 excluded "RS", # Serbia 17 "SE" # Sweden 18 ) (points <- sort(unique(c(eurovision_table)),decreasing=TRUE)) preference <- eurovision_table*0 for(i in seq_along(points)){ preference[eurovision_table == points[i]] <- i } preference
contestants[excluded]
H_excluded <- hyper3() H_included <- hyper2()
text <- "remove this for R >= 4.6-0" print(text) `%notin%` <- Negate(`%in%`)
for(i in excluded){ d <- preference[,i,drop=TRUE] d[d==11] <- 0 newH <- suppfun(d[!is.na(d)]) newH <- newH |> pwa23_multiple(contestants[excluded], "collusion") H_excluded <- H_excluded + newH } # i loop closes for(i in seq_len(ncol(preference))){ if(i %notin% excluded){ d <- preference[,i,drop=TRUE] d[d==11] <- 0 d <- d[!is.na(d)] newH <- suppfun(d) H_included <- H_included + newH } } # i loop closes
H_excluded
mHex <- maxp(H_excluded) mHin <- maxp(H_included)
dotchart(mHex) dotchart(mHin)
H <- H_excluded + as.hyper3(H_included)
result <- specificp.gt.test(H, "collusion",0)
result
H_excluded summary(H_excluded) summary(H)
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