stat_stepping {ggbio} | R Documentation |
Calculate stepping levels.
## S4 method for signature 'GRanges' stat_stepping(data, ..., xlab, ylab, main, facets = NULL, geom = c("rect", "alignment", "segment"))
data |
A |
... |
Extra parameters such as aes() passed to |
xlab |
Label for x |
ylab |
Label for y |
main |
Title for plot. |
facets |
Faceting formula to use. |
geom |
The geometric object used to display the data. For 'stepping', could be one of 'rect', 'alignment', 'segment'. |
A 'Layer'.
Tengfei Yin
set.seed(1)
N <- 50
require(GenomicRanges)
## simul
## ======================================================================
## simmulated GRanges
## ======================================================================
gr <- GRanges(seqnames =
sample(c("chr1", "chr2", "chr3"),
size = N, replace = TRUE),
IRanges(
start = sample(1:300, size = N, replace = TRUE),
width = sample(70:75, size = N,replace = TRUE)),
strand = sample(c("+", "-", "*"), size = N,
replace = TRUE),
value = rnorm(N, 10, 3), score = rnorm(N, 100, 30),
sample = sample(c("Normal", "Tumor"),
size = N, replace = TRUE),
pair = sample(letters, size = N,
replace = TRUE))
## default
ggplot(gr) + stat_stepping()
## or
ggplot() + stat_stepping(gr)
## facet_aes
ggplot(gr) + stat_stepping(aes(color = strand, fill = strand),
facets = sample ~ seqnames)
## geom_segment
ggplot(gr) + stat_stepping(aes(color = strand),
geom = "segment", xlab = "Genomic coord", ylab = "y", main = "hello")
## geom_alignment
## ggplot(gr) + stat_stepping(geom = "alignment")
## geom_alignment_group
## ggplot(gr) + stat_stepping(aes(group = pair),geom = "alignment")