replot {pegas} | R Documentation |
Edit the Layout of a Haplotype Network
Description
This function makes possible to change the layout of a haplotype network interactively or with specified coordinates.
Usage
replot(xy = NULL, col.identifier = "purple", ...)
Arguments
xy |
an optional list with vectors names |
col.identifier |
the colour used to identify the node to be moved. |
... |
further arguments passed to |
Details
This function can be used in two ways. By default (i.e.,
replot()
), the user can edit a plotted haplotype network by
clicking with the mouse on the graphical window: a message is printed
asking to click once close to the node to move and then clicking again
where this node should be placed (careful: two separate single
clicks). Editing is stopped with a right click.
The second possible use is to specify the new coordinates of the nodes
with the argument xy
, typically, from a previous call to
replot
(see examples).
Since pegas 1.0, these coordinates can be used directly in
plot.haploNet
making possible to combine networks with
other graphics (which not possible with replot
because the
network is replotted).
Value
a named list with two numeric vertors (x
and y
).
Note
For users of RStudio: the function does not work within this
application. It seems the best is to run R from a shell (or maybe
opening a new graphical device with X11
).
Author(s)
Emmanuel Paradis
See Also
Examples
## a non-interactive example:
example(mjn)
layout(matrix(1:2, 1))
plot(ntz, labels = TRUE)
## it is possible plot this network with no line-crossing
## with these coordinates:
xy <- list(x = c(3.2, -2.6, -6.6, -7.2, 0, 3.5, 2.6, -2.9, -0.3, 3.4, -3.4),
y = c(3.4, 4.4, 1.3, -3.9, -5.5, -10.9, 0.1, -0.8, -2.3, -7.9, -8.1))
replot(ntz, xy = xy) # or plot(ntz, xy = xy, labels = TRUE)
layout(1)
## an interactive example:
## Not run:
data(woodmouse)
net <- haploNet(haplotype(woodmouse))
plot(net)
o <- replot() # interactive
## click to rearrange the network at will...
## then do a different plot using the same coordinates:
plot(net, bg = "red", labels = FALSE, show.mutation = 2)
replot(o) # not interactive
## End(Not run)