stat_table {ggbio} | R Documentation |
Tabulate a GRanges object
## S4 method for signature 'GRanges' stat_table(data, ..., xlab, ylab, main, geom = NULL,stat = NULL) ## S4 method for signature 'GRangesList' stat_table(data, ..., xlab, ylab, main, facets = NULL, geom = NULL)
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 to use display the data. |
stat |
The geometric object to use display the data. |
A 'Layer'.
Tengfei Yin
## load set.seed(1) N <- 100 require(ggbio) 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)) gr <- c(gr[seqnames(gr) == "chr1"][sample(1:10, size = 1e4, replace = TRUE)],gr) ## default ggplot(gr) + stat_table() ggplot(gr) + stat_table(geom = "segment", aes(y = ..score.., color = ..score..)) ggplot(gr) + stat_table(aes(color = score))