Nothing
missing.person.plot = function(ped_related, missing, id.labels=NULL,
available="shaded",marker=NULL, width=c(4,4,1), newdev=TRUE,
frametitles=c("H1: POI related", "H2:POI unrelated"), ...) {
if(!is.linkdat(ped_related)) stop("Expecting a connected pedigree as H1")
miss_internal = internalID(ped_related, missing)
# Labels
if(is.null(id.labels)) {
if(!is.null(plotlabs <- ped_related$plot.labels)) {
stopifnot(length(plotlabs)==ped_related$nInd)
id.labels = plotlabs
}
else
id.labels = ped_related$orig.ids
}
else if(identical(id.labels, "num")) {
id.labels = ped_related$orig.ids
id.labels[miss_internal] = "MP"
}
else
id.labels = rep(id.labels, length=ped_related$nInd)
# Pedigree 1: Related
labels1 = id.labels
misslab = labels1[miss_internal]
labels1[miss_internal] = ifelse(misslab=="", "POI", paste(misslab, "= POI"))
# Color POI red
col1 = ifelse(1:ped_related$nInd == miss_internal, 2, 1)
plot1 = list(ped_related, id.labels=labels1, col=col1)
# Pedigree 2: Unrelated
labels2 = id.labels
#labels2[miss_internal] = "MP"
plot2 = list(ped_related, id.labels=labels2)
s = singleton(id=missing, sex = getSex(ped_related, missing))
if(!is.null(marker))
s = transferMarkerdata(from=ped_related, to=s)
plot3 = list(s, id.labels="POI", col=2)
plotPedList(list(plot1, plot2, plot3), frames=list(1,2:3), available=available,
marker=marker, skip.empty.genotypes=TRUE,
frametitles=frametitles, newdev=newdev, ...)
}
internalID = function(x, orig.ids){
internal_ids = match(orig.ids, x$orig.ids)
if (any(is.na(internal_ids)))
stop(paste("Indicated ID(s) not among original ID labels:",
paste(orig.ids[is.na(internal_ids)], collapse = ",")))
internal_ids
}
getSex = function (x, orig.ids)
as.vector(x$pedigree[internalID(x, orig.ids), "SEX"])
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