geom_arch {ggbio} | R Documentation |
Show interval data as arches.
## S4 method for signature 'data.frame' geom_arch(data, ..., n = 25, max.height = 10) ## S4 method for signature 'GRanges' geom_arch(data, ..., xlab, ylab, main, facets = NULL, rect.height = 0, n = 25, max.height = 10)
data |
A |
... |
Extra parameters passed to autoplot function,
|
xlab |
Label for x |
ylab |
Label for y |
main |
Title for plot. |
n |
Integer values at which interpolation takes place to create 'n' equally spaced points spanning the interval ['min(x)', 'max(x)']. |
facets |
Faceting formula to use. |
rect.height |
When data is |
max.height |
Max height of all arches. |
To draw a interval data as arches, we need to provide a special geom for
this purpose. Arches is popular in gene viewer or genomoe browser,
when they try to show isoforms or gene model.geom_arch
,
just like any other geom_*
function in ggplot2, you can pass
aes() to it to map variable to height of arches.
A 'Layer'.
Tengfei Yin
set.seed(1)
N <- 100
library(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))
## =======================================
## default
## =======================================
ggplot(gr) + geom_arch()
# or
ggplot() + geom_arch(gr)
## =======================================
## facetting and aesthetics
## =======================================
ggplot(gr) + geom_arch(aes(color = value, height = value, size = value),
alpha = 0.2, facets = sample ~ seqnames)