ggbio (version 1.20.1)

geom_arrow: Arrow geoms for GRanges object

Description

Show interval data as arrows.

Usage

## S3 method for class 'GRanges':
geom_arrow(data, ..., xlab, ylab, main,
          angle = 30, length = unit(0.12, "cm"), type = "open",
          stat = c("stepping", "identity"), facets = NULL,
          arrow.rate = 0.03, group.selfish = TRUE)

Arguments

data
A GRanges object.
...
Extra parameters such as aes() passed.
xlab
Label for x
ylab
Label for y
main
Title for plot.
angle
The angle of the arrow head in degrees (smaller numbers produce narrower, pointier arrows). Essentially describes the width of the arrow head.
length
A unit specifying the length of the arrow head (from tip to base).
type
One of "open" or "closed" indicating whether the arrow head should be a closed triangle.
stat
Character vector specifying statistics to use. "stepping" with randomly assigned stepping levels as y varialbe. "identity" allow users to specify y value in aes.
facets
Faceting formula to use.
arrow.rate
Arrow density of the arrow body.
group.selfish
Passed to addStepping, control whether to show each group as unique level or not. If set to FALSE, if two groups are not overlapped with each other, they will probably be layout in the same level to save space.

Value

  • A 'Layer'.

Examples

Run this code
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))


## ======================================================================
##  default
## ======================================================================
ggplot(gr) + geom_arrow()
# or
ggplot() + geom_arrow(gr)

## ======================================================================
##  facetting and aesthetics
## ======================================================================
ggplot(gr) + geom_arrow(facets = sample ~ seqnames, aes(color = strand, fill = strand))

## ======================================================================
##  stat:identity
## ======================================================================
ggplot(gr) + geom_arrow(stat = "identity", aes(y = value))


## ======================================================================
##  stat:stepping
## ======================================================================
ggplot(gr) + geom_arrow(stat = "stepping", aes(y = value, group = pair))

## ======================================================================
##  group.selfish 
## ======================================================================
ggplot(gr) + geom_arrow(stat = "stepping", aes(y = value, group = pair), group.selfish = FALSE)



## ======================================================================
## other options to control arrow angle, density, ...
## ======================================================================
library(grid)
ggplot(gr) + geom_arrow(stat = "stepping", aes(y = value, group = pair),
                      arrow.rate = 0.01, legnth = unit(0.3, "cm"), agnle = 45,
                      group.selfish = FALSE)

Run the code above in your browser using DataCamp Workspace