ytracks.regionalplot <- function(
ylim.upper,
ylim.space,
plot.genes = TRUE,
plot.ld = TRUE,
plot.variants = FALSE,
var.options = NULL
) {
# return a data frame of track info with columns ysize, yspace, ystart, ystop
# the ysize is the available space for the features to be drawn,
# and yspace accounts for empty space preceding the data track und thus allowing a visual separation on tracks
# both are positive values (though accuring on the negative scale)
# ystart and ystop are the (negative valued) positions on the y axis for the track, (without yspace)
# rownames should correspond to the upcoming y axis labels
tracks <- data.frame(
ysize = 0,
yspace = 10 * ylim.space,
ystart = -10 * ylim.space,
ystop = -10 * ylim.space,
name = "feature tracks:",
row.names = "default",
stringsAsFactors = F
)
if(plot.genes) {
tracks <- rbind(tracks, "genes" = list(
ysize = ylim.upper,
yspace = 10 * ylim.space,
ystart = -10 * ylim.space,
ystop = -(ylim.upper + 10 * ylim.space),
name = "genes"
))
}
if(plot.ld) {
tracks <- rbind(tracks, "ld" = list(
ysize = 0.6 * ylim.upper,
yspace = 15 * ylim.space,
ystart = -(sum(tracks$ysize, tracks$yspace) + 15 * ylim.space),
ystop = -(sum(tracks$ysize, tracks$yspace) + 15 * ylim.space + 0.6 * ylim.upper),
name = "LD (r\u00B2)"
))
}
if(plot.variants) {
ysize <- if(var.options$details <= 2) 0.5 * ylim.upper else ylim.upper
tracks <- rbind(tracks, "var" = list(
ysize = ysize,
yspace = 15 * ylim.space,
ystart = -(sum(tracks$ysize, tracks$yspace) + 15 * ylim.space),
ystop = -(sum(tracks$ysize, tracks$yspace) + 15 * ylim.space + ysize),
name = paste("variants (0-", var.options$vcf.af.prune, "% AF)", sep = "")
))
}
return(tracks)
}
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