hc_rect-HilbertCurve-method: Add rectangles on Hilbert curve

In eilslabs/HilbertCurve: Making 2D Hilbert Curve

Description

Add rectangles on Hilbert curve

Usage

## S4 method for signature 'HilbertCurve'
hc_rect(object, ir, x1 = NULL, x2 = NULL,
    gp = gpar(fill = "red"),
    mean_mode = c("w0", "absolute", "weighted"))

Arguments

object	A HilbertCurve-class object.
ir	an IRanges object which specifies the input intervals.
x1	if start positions are not integers, they can be set by x1.
x2	if end positions are not integers, they can be set by x2.
gp	graphic parameters for rectangles. It should be specified by gpar. Note you cannot set linejoin and lineend.
mean_mode	when a segment in the curve can not be overlapped with intervals in ir, how to calculate the mean values for this segment. See explanation in hc_points,HilbertCurve-method.

Details

Rectangles are put if a segment in the Hilbert curve overlaps with the input intervals. You cannot set the width or height of the rectangles. It is always fixed (actually it is a square).

It can be thought as the low-resolution version of hc_layer,HilbertCurve-method.

Value

A data frame which contains coordinates (in the 2D space) of rectangles.

Author(s)

Zuguang Gu <[e-mail]>

Examples

hc = HilbertCurve(1, 100, level = 4, reference = TRUE)

x = sort(sample(100, 20))
s = x[1:10*2 - 1]
e = x[1:10*2]
ir = IRanges(s, e)
hc_rect(hc, ir)

eilslabs/HilbertCurve documentation built on May 16, 2019, 1:23 a.m.