Routines to plot projections of knots with a wide range of user-settable options
knotplot(x, ou, gapwidth=1, n=100, lwd=8, add=FALSE, ...)
knotplot_old(x, ou, gap=20, n=100, lwd=8, add=FALSE, ...)
knotplot2(x, rainbow=FALSE, seg=FALSE, text=FALSE, cross=FALSE, ink=FALSE,
node=FALSE, width=TRUE, all=FALSE, n=100, circ=1000,
lwd=8, add=FALSE, ...)
Description of a knot, coerced to a controlpoints
object and a minobj object
Variables
controlling sundry knotplot2() features; see details
An overunder object, useful if overunder information not
included in argument x
Variables controlling visual representation of strand crossings; see details
Number of points on each Bezier curve
Width of line to use
Boolean, with default FALSE meaning to set up a new
plot, and TRUE meaning to just add points and lines to an
existing plot
Robin K. S. Hankin
Function knotplot() is useful for production-quality plotting
of knots with crossings indicated by the understrand having a gap;
function knotplot2() is more useful for development. Function
knotplot_old() is included for backward compatibility and is
possibly more robust than knotplot().
Function knotplot() works by setting a suitable length of the
understrand to NA which results in it not being plotted.
For knotplot():
overunderobj; A two-column matrix indicating the sense
of the crossing. Each row corresponds to a crossing; the first entry
is the segment number of the overstrand, and the second is the
understrand
gapwidth; the width of the gap, measured in units of
width of the string
For knotplot2():
rainbow; use rainbow colouring for the segments
seg; plot the Bezier nodes and handles. The positions
of the nodes and handles are obtained from an object of class
controlpoints.
text; include the segment number on the segment
cross; label the crossings
ink; label the nodes with their inkscape numbering
width; show the bending strain energy
The gap argument of knotplot_old() is a the same as the
gapwidth argument of knotplot() but gap is
measured in the same units as the plot().
knotplot(k5_1)
knotplot2(k6_1,text=TRUE,seg=TRUE,lwd=1)
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