Last chance! 50% off unlimited learning
Sale ends in
Plots an object of class "yardstick"
.
# S3 method for yardstick
plot(x, ...,
angle = 20, frac = 1/8,
split = FALSE, shrink = 1/4,
pos = NULL,
txt.args=list(),
txt.shift=c(0,0),
do.plot = TRUE)
A window (class "owin"
) enclosing the plotted graphics.
Object of class "yardstick"
to be plotted.
This object is created by the command yardstick
.
Additional graphics arguments passed to
segments
to control the appearance of the line.
Angle between the arrows and the line segment, in degrees.
Length of arrow as a fraction of total length of the line segment.
Logical. If TRUE
, then the line will be broken in the
middle, and the text will be placed in this gap. If FALSE
,
the line will be unbroken, and the text will be placed beside
the line.
Fraction of total length to be removed from the middle of the
line segment, if split=TRUE
.
Integer (passed to text
) determining the
position of the annotation text relative to the line segment,
if split=FALSE
. Values of 1, 2, 3 and 4
indicate positions below, to the left of,
above and to the right of the line, respectively.
Optional list of additional arguments passed to
text
controlling the appearance of the text.
Examples include adj
, srt
, col
, cex
,
font
.
Optional numeric vector of length 2 specifying displacement of the text position relative to the centre of the yardstick.
Logical. Whether to actually perform the plot (do.plot=TRUE
).
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
Rolf Turner rolfturner@posteo.net
and Ege Rubak rubak@math.aau.dk
A yardstick or scale bar is a line segment, drawn on any spatial graphics display, indicating the scale of the plot.
The argument x
should be an object of class "yardstick"
created by the command yardstick
.
yardstick
plot(owin(), main="Yardsticks")
ys <- yardstick(as.psp(list(xmid=0.5, ymid=0.1, length=0.4, angle=0),
window=owin(c(0.2, 0.8), c(0, 0.2))),
txt="1 km")
plot(ys)
ys <- shift(ys, c(0, 0.3))
plot(ys, angle=90, frac=0.08)
ys <- shift(ys, c(0, 0.3))
plot(ys, split=TRUE)
Run the code above in your browser using DataLab