Nothing
## from mvoutlier
.pbb <- function(map = "bss.background", add.plot = FALSE, ...)
{
all = get(map)
xrange = c(min(all[, 1], na.rm = TRUE), max(all[, 1], na.rm = TRUE))
yrange = c(min(all[, 2], na.rm = TRUE), max(all[, 2], na.rm = TRUE))
if (!add.plot) {
plot(1, 1, xlim = xrange, ylim = yrange, xlab = "", ylab = "", ...)
}
lines(all, ...)
}
bsstop <- NULL
## VT::24.11.2013 - not possible to read files from the data directory - they are compressed
## - use data() instead
##
## load(system.file("data","bsstop.rda", package="mvoutlier"))
## load(system.file("data","bss.background.rda", package="mvoutlier"))
library(mvoutlier)
data(bsstop)
data(bss.background)
x=bsstop[,5:14]
## visualize multivariate outliers in the map
op <- par(mfrow=c(2,2))
## identify multivariate outliers
x.out=OutlierPCOut(x)
cat("\nPCOUT: ", length(which(!getFlag(x.out))), "\n")
.pbb(asp=1)
points(bsstop$XCOO, bsstop$YCOO, pch=16, col=getFlag(x.out) + 2)
title("PCOUT")
legend("topleft",legend=c("potential outliers","regular observations"),pch=16,col=c(2,3))
## compare with outlier detection based on MCD:
x.mcd=OutlierMahdist(x, control="mcd")
cat("\nMCD: ", length(which(!getFlag(x.mcd))), "\n")
.pbb(asp=1)
points(bsstop$XCOO,bsstop$YCOO,pch=16,col=getFlag(x.mcd) + 2)
title("MCD")
legend("topleft",legend=c("potential outliers","regular observations"),pch=16,col=c(2,3))
## compare with outlier detection based on PCDIST:
x.pcdist <- OutlierPCDist(x, explvar=0.99)
cat("\nPCDIST: ", length(which(!getFlag(x.pcdist))), "\n")
.pbb(asp=1)
points(bsstop$XCOO, bsstop$YCOO, pch=16, col=getFlag(x.pcdist)+2)
title("PCDIST")
legend("topleft",legend=c("potential outliers","regular observations"),pch=16,col=c(2,3))
## compare with outlier detection based on SIGN1:
x.sign1 <- OutlierSign1(x)
cat("SIGN1: ", length(which(!getFlag(x.sign1))), "\n")
.pbb(asp=1)
points(bsstop$XCOO, bsstop$YCOO, pch=16, col=getFlag(x.sign1)+2)
title("SIGN1")
legend("topleft",legend=c("potential outliers","regular observations"),pch=16,col=c(2,3))
par(op)
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