geom_segment | R Documentation |
Show interval data as segments.
## S4 method for signature 'ANY'
geom_segment(data, ...)
## S4 method for signature 'GRanges'
geom_segment(data,..., xlab, ylab, main,
facets = NULL, stat = c("stepping", "identity"),
group.selfish = TRUE)
data |
A |
... |
Extra parameters such as aes() or |
xlab |
Label for x |
ylab |
Label for y |
main |
Title for plot. |
facets |
Faceting formula to use. |
stat |
Character vector specifying statistics to use. "stepping" with
randomly assigned stepping levels as y varialbe. "identity" allow
users to specify |
group.selfish |
Passed to |
A 'Layer'.
Tengfei Yin
set.seed(1)
N <- 100
require(GenomicRanges)
## ======================================================================
## 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))
## ======================================================================
## data.frame call ggplot2::geom_segment
## ======================================================================
ggplot() + geom_segment(data = mtcars, aes(x = mpg, y = wt, xend = mpg + 10, yend = wt + 0.2,
color = cyl))
## ======================================================================
## default
##
## ======================================================================
ggplot(gr) + geom_segment()
## or
ggplot() + geom_segment(gr)
## ======================================================================
## facetting and aesthetics
## ======================================================================
ggplot(gr) + geom_segment(facets = sample ~ seqnames, aes(color = strand))
## ======================================================================
## stat:identity
## ======================================================================
ggplot(gr) + geom_segment(stat = "identity", aes(y = value))
## ======================================================================
## stat:stepping
## ======================================================================
ggplot(gr) + geom_segment(stat = "stepping", aes(y = value, group = pair))
## ======================================================================
## group.selfish controls when
## ======================================================================
ggplot(gr) + geom_segment(stat = "stepping", aes(y = value, group = pair), group.selfish = FALSE)
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