geom_bar {ggbio} | R Documentation |
Show interval data as vertical bar, width equals to interval width and use 'score' or specified 'y' as y scale.
## for data.frame ## S4 method for signature 'data.frame' geom_bar(data, ...) ## S4 method for signature 'GRanges' geom_bar(data,..., xlab, ylab, main)
data |
A |
... |
Extra parameters such as aes() or |
xlab |
Label for x |
ylab |
Label for y |
main |
Title for plot. |
Useful for showing bed like files, when imported as GRanges, have a extra 'score' column, use it as default y, you could also specify y by using aes(y = ).
A 'Layer'.
## load
library(GenomicRanges)
## simul
set.seed(123)
gr.b <- GRanges(seqnames = "chr1", IRanges(start = seq(1, 100, by = 10),
width = sample(4:9, size = 10, replace = TRUE)),
score = rnorm(10, 10, 3), value = runif(10, 1, 100))
gr.b2 <- GRanges(seqnames = "chr2", IRanges(start = seq(1, 100, by = 10),
width = sample(4:9, size = 10, replace = TRUE)),
score = rnorm(10, 10, 3), value = runif(10, 1, 100))
gr.b <- c(gr.b, gr.b2)
## Warning: Each of the 2 combined objects has sequence levels not in the
## other: - in 'x': chr1 - in 'y': chr2 Make sure to always combine/compare
## objects based on the same reference genome (use suppressWarnings() to
## suppress this warning).
## default use score as y
## bar
ggplot(gr.b) + geom_bar(aes(fill = value))
## use score as y by default
## or
ggplot() + geom_bar(gr.b, aes(fill = value))
## use score as y by default
ggplot(gr.b) + geom_bar(aes(y = value))
## equal to
autoplot(gr.b, geom = "bar")
## use score as y by default