hc_layer-GenomicHilbertCurve-method: Add a new layer to the Hilbert curve

In HilbertCurve: Making 2D Hilbert Curve

Description

Add a new layer to the Hilbert curve

Usage

## S4 method for signature 'GenomicHilbertCurve'
hc_layer(object, gr, col = "red", border = NA,
    mean_mode = c("w0", "absolute", "weighted"), grid_line = 0,
    grid_line_col = "black", overlay = default_overlay)

Arguments

object	a GenomicHilbertCurve-class object
gr	a GRanges object which contains the genomic regions to be mapped to the curve
col	a scalar or a vector of colors which correspond to regions in gr, pass to hc_layer,HilbertCurve-method
border	a scalar or a vector of colors which correspond to the borders of regions. Set it to NA if borders are suppressed.
mean_mode	Under 'pixel' mode, each pixel represents a small window. This argument provides methods to summarize value for the small window if the input genomic regions can not completely overlap with the window, pass to hc_layer,HilbertCurve-method
grid_line	whether add grid lines to show blocks of the Hilber curve, pass to hc_layer,HilbertCurve-method
grid_line_col	color for the grid lines, pass to hc_layer,HilbertCurve-method
overlay	a self-defined function which defines how to overlay new layer to the plot, pass to hc_layer,HilbertCurve-method

Details

It is basically a wrapper of hc_layer,HilbertCurve-method.

Value

Refer to hc_layer,HilbertCurve-method

Author(s)

Zuguang Gu <[e-mail]>

Examples

require(circlize)
require(GenomicRanges)
bed = generateRandomBed()
gr = GRanges(seqnames = bed[[1]], ranges = IRanges(bed[[2]], bed[[3]]))
hc = GenomicHilbertCurve(mode = "pixel", level = 9)
hc_layer(hc, gr, col = rand_color(length(gr)))

HilbertCurve documentation built on Nov. 8, 2020, 8:05 p.m.