labcurve optionally draws a set of curves then labels the curves.
A variety of methods for drawing labels are implemented, ranging from
positioning using the mouse to automatic labeling to automatic placement
of key symbols with manual placement of key legends to automatic
placement of legends. For automatic positioning of labels or keys, a
curve is labeled at a point that is maximally separated from all of the
other curves. Gaps occurring when curves do not start or end at the
same x-coordinates are given preference for positioning labels. If
labels are offset from the curves (the default behaviour), if the
closest curve to curve i is above curve i, curve i is labeled below its
line. If the closest curve is below curve i, curve i is labeled above
its line. These directions are reversed if the resulting labels would
appear outside the plot region.
Both ordinary lines and step functions are handled, and there is an option to draw the labels at the same angle as the curve within a local window.
Unless the mouse is used to position labels or plotting symbols are
placed along the curves to distinguish them, curves are examined at 100
(by default) equally spaced points over the range of x-coordinates in
the current plot area. Linear interpolation is used to get
y-coordinates to line up (step function or constant interpolation is
used for step functions). There is an option to instead examine all
curves at the set of unique x-coordinates found by unioning the
x-coordinates of all the curves. This option is especially useful when
plotting step functions. By setting adj="auto" you can have
labcurve try to optimally left- or right-justify labels depending
on the slope of the curves at the points at which labels would be
centered (plus a vertical offset). This is especially useful when
labels must be placed on steep curve sections.
You can use the on top method to write (short) curve names
directly on the curves (centered on the y-coordinate). This is
especially useful when there are many curves whose full labels would run
into each other. You can plot letters or numbers on the curves, for
example (using the keys option), and have labcurve use the
key function to provide long labels for these short ones (see the
end of the example). There is another option for connecting labels to
curves using arrows. When keys is a vector of integers, it is
taken to represent plotting symbols (pchs), and these symbols are
plotted at equally-spaced x-coordinates on each curve (by default, using
5 points per curve). The points are offset in the x-direction between
curves so as to minimize the chance of collisions.
To add a legend defining line types, colors, or line widths with no
symbols, specify keys="lines", e.g., labcurve(curves,
keys="lines", lty=1:2).
putKey provides a different way to use key() by allowing
the user to specify vectors for labels, line types, plotting characters,
etc. Elements that do not apply (e.g., pch for lines
(type="l")) may be NA. When a series of points is
represented by both a symbol and a line, the corresponding elements of
both pch and lty, col., or lwd will be
non-missing.
putKeyEmpty, given vectors of all the x-y coordinates that have been
plotted, uses largest.empty to find the largest empty rectangle large
enough to hold the key, and draws the key using putKey.
drawPlot is a simple mouse-driven function for drawing series of
lines, step functions, polynomials, Bezier curves, and points, and
automatically labeling the point groups using labcurve or
putKeyEmpty. When drawPlot is invoked it creates
temporary functions Points, Curve, and Abline.
The user calls these functions inside
the call to drawPlot to define groups of points in the order they
are defined with the mouse. Abline is used to call abline
and not actually great a group of points. For some curve types, the
curve generated to represent the corresponding series of points is drawn
after all points are entered for that series, and this curve may be
different than the simple curve obtained by connecting points at the
mouse clicks. For example, to draw a general smooth Bezier curve the
user need only click on a few points, and she must overshoot the final
curve coordinates to define the curve. The originally entered points
are not erased once the curve is drawn. The same goes for step
functions and polynomials. If you plot() the object returned by
drawPlot, however, only final curves will be shown. The last
examples show how to use drawPlot.
The largest.empty function finds the largest rectangle that is large
enough to hold a rectangle of a given height and width, such that the
rectangle does not contain any of a given set of points. This is
used by labcurve and putKeyEmpty to position keys at the most
empty part of an existing plot. The default method was created by Hans
Borchers.
labcurve(curves, labels=names(curves),
method=NULL, keys=NULL, keyloc=c("auto","none"),
type="l", step.type=c("left", "right"),
xmethod=if(any(type=="s")) "unique" else "grid",
offset=NULL, xlim=NULL,
tilt=FALSE, window=NULL, npts=100, cex=NULL,
adj="auto", angle.adj.auto=30,
lty=pr$lty, lwd=pr$lwd, col.=pr$col, transparent=TRUE,
arrow.factor=1, point.inc=NULL, opts=NULL, key.opts=NULL,
empty.method=c('area','maxdim'), numbins=25,
pl=!missing(add), add=FALSE,
ylim=NULL, xlab="", ylab="",
whichLabel=1:length(curves),
grid=FALSE, xrestrict=NULL, …)putKey(z, labels, type, pch, lty, lwd,
cex=par('cex'), col=rep(par('col'),nc),
transparent=TRUE, plot=TRUE, key.opts=NULL, grid=FALSE)
putKeyEmpty(x, y, labels, type=NULL,
pch=NULL, lty=NULL, lwd=NULL,
cex=par('cex'), col=rep(par('col'),nc),
transparent=TRUE, plot=TRUE, key.opts=NULL,
empty.method=c('area','maxdim'),
numbins=25,
xlim=pr$usr[1:2], ylim=pr$usr[3:4], grid=FALSE)
drawPlot(…, xlim=c(0,1), ylim=c(0,1), xlab='', ylab='',
ticks=c('none','x','y','xy'),
key=FALSE, opts=NULL)
# Points(label=' ', type=c('p','r'),
# n, pch=pch.to.use[1], cex=par('cex'), col=par('col'),
# rug = c('none','x','y','xy'), ymean)
# Curve(label=' ',
# type=c('bezier','polygon','linear','pol','loess','step','gauss'),
# n=NULL, lty=1, lwd=par('lwd'), col=par('col'), degree=2,
# evaluation=100, ask=FALSE)
# Abline(\dots)
# S3 method for drawPlot
plot(x, xlab, ylab, ticks,
key=x$key, keyloc=x$keyloc, …)
largest.empty(x, y, width=0, height=0,
numbins=25, method=c('exhaustive','rexhaustive','area','maxdim'),
xlim=pr$usr[1:2], ylim=pr$usr[3:4],
pl=FALSE, grid=FALSE)
a list of lists, each of which have at least two components: a vector of
x values and a vector of corresponding y values. curves is
mandatory except when method="mouse" or "locator", in which
case labels is mandatory. Each list in curves may optionally have
any of the parameters type, lty, lwd, or col
for that curve, as defined below (see one of the last examples).
a two-element list specifying the coordinate of the center of the key,
e.g. locator(1) to use the mouse for positioning
For labcurve, a vector of character strings used to label curves
(which may contain newline characters to stack labels vertically). The
default labels are taken from the names of the curves list.
Setting labels=FALSE will suppress drawing any labels (for
labcurve only).
For putKey and putKeyEmpty is a vector of character strings
specifying group labels
for putKeyEmpty and largest.empty, x and y
are same-length vectors specifying points that have been plotted.
x can also be an object created by drawPlot.
For drawPlot is a series of invocations of Points and
Curve (see example). Any number of point groups can be defined
in this way. For Abline these may be any arguments to
abline.
For labcurve, other parameters to pass to text.
for largest.empty, specifies the minimum allowable width in
x units and the minimum allowable height in y units
"offset" (the default) offsets labels at largest gaps between
curves, and draws labels beside curves.
"on top" draws labels on top of the curves (especially
good when using keys).
"arrow" draws arrows connecting labels to the curves.
"mouse" or "locator" positions labels according to mouse clicks.
If keys is specified and is an integer vector or is "lines",
method defaults to "on top". If keys is character,
method defaults to "offset". Set method="none" to
suppress all curve labeling and key drawing, which is useful when
pl=TRUE and you only need labcurve to draw the curves and the
rest of the basic graph.
For largest.empty specifies the method a rectangle that does not
collide with any of the (x, y) points. The default
method, 'exhaustive', uses a Fortran translation of an R function
and algorithm developed by Hans Borchers. The same result, more slowly,
may be obtained by using pure R code by specifying
method='rexhaustive'. The original algorithms using binning (and
the only methods supported for S-Plus) are
still available. For all methods, screening of candidate rectangles
having at least a given width in x-units of width or
having at least a given height in y-units of height is possible.
Use method="area" to use the binning method to find the rectangle
having the largest area, or method="maxdim" to use the binning
method to return with last rectangle searched that had both
the largest width and largest height over all previous rectangles.
This causes keys (symbols or short text) to be drawn on or beside
curves, and if keyloc is not equal to "none", a legend to be
automatically drawn. The legend links keys with full curve labels
and optionally with colors and line types.
Set keys to a vector of character strings, or a
vector of integers specifying plotting character (pch values -
see points). For the latter case, the default behavior is to
plot the symbols periodically, at equally spaced x-coordinates.
When keys is specified, keyloc specifies how the legend
is to be positioned for drawing using the key function in
trellis. The default is "auto", for which the
largest.empty function to used to find the most empty part of the
plot. If no empty rectangle large enough to hold the key is found, no
key will be drawn. Specify keyloc="none" to suppress drawing a
legend, or set keyloc to a 2-element list containing the x and y
coordinates for the center of the legend. For example, use
keyloc=locator(1) to click the mouse at the center.
keyloc specifies the coordinates of the center of the
key to be drawn with plot.drawPlot when key=TRUE.
for labcurve, a scalar or vector of character strings specifying the
method that the points in the curves were connected. "l" means
ordinary connections between points and "s" means step functions.
For putKey and putKeyEmpty is a vector of plotting types, "l"
for regular line, "p" for point, "b" for both point and line, and
"n" for none. For Points is either "p" (the default) for
regular points, or "r" for rugplot (one-dimensional scatter diagram
to be drawn using the scat1d function). For Curve, type is
"bezier" (the default) for drawing a smooth Bezier curves (which can
represent a non-1-to-1 function such as a circle), "polygon" for
orginary line segments, "linear" for a straight line defined by two
endpoints, "pol" for a degree-degree polynomial to be fitted to
the mouse-clicked points, "step" for a left-step-function, "gauss"
to plot a Gaussian density fitted to 3 clicked points, "loess" to
use the lowess function to smooth the clicked points, or a function
to draw a user-specified function, evaluated at evaluation points
spanning the whole x-axis. For the density the user must click in the
left tail, at the highest value (at the mean), and in the right tail,
with the two tail values being approximately equidistant from the
mean. The density is scaled to fit in the highest value regardless of
its area.
type of step functions used (default is "left")
method for generating the unique set of x-coordinates to examine (see above). Default is "grid" for type="l" or "unique" for
type="s".
distance in y-units between the center of the label and the line being
labeled. Default is 0.75 times the height of an "m" that would be
drawn in a label. For R grid/lattice you must specify offset using
the grid unit function, e.g., offset=unit(2,"native") or
offset=unit(.25,"cm") ("native" means data units)
limits for searching for label positions, and is also used to set up
plots when pl=TRUE and add=FALSE. Default is total x-axis
range for current plot (par("usr")[1:2]). For
largest.empty, xlim limits the search for largest
rectanges, but it has the same default as above. For
pl=TRUE,add=FALSE you may want to extend xlim somewhat to
allow large keys to fit, when using keyloc="auto". For
drawPlot default is c(0,1). When using
largest.empty with ggplot2, xlim and ylim
are mandatory.
set to TRUE to tilt labels to follow the curves, for method="offset"
when keys is not given.
width of a window, in x-units, to use in determining the local slope for tilting labels. Default is 0.5 times number of characters in the label times the x-width of an "m" in the current character size and font.
number of points to use if xmethod="grid"
character size to pass to text and key. Default is current
par("cex"). For putKey, putKeyEmpty, and Points is the size of the
plotting symbol.
Default is "auto" which has labcurve figure justification
automatically when method="offset". This will cause centering to be used when the local angle
of the curve is less than angle.adj.auto in absolute value, left
justification if the angle is larger and either the label is under a
curve of positive slope or over a curve of negative slope, and right
justification otherwise. For step functions, left justification is used
when the label is above the curve and right justifcation otherwise.
Set adj=.5 to center labels at computed coordinates. Set to 0 for
left-justification, 1 for right. Set adj to a vector to vary adjustments
over the curves.
see adj. Does not apply to step functions.
vector of line types which were used to draw the curves. This is only used when keys are drawn. If all of the line types, line widths, and line colors are the same, lines are not drawn in the key.
vector of line widths which were used to draw the curves.
This is only used when keys are drawn. See lty also.
vector of integer color numbers for use in curve labels, symbols,
lines, and legends. Default is par("col") for all curves.
See lty also.
Default is TRUE to make key draw transparent legends, i.e., to
suppress drawing a solid rectangle background for the legend.
Set to FALSE otherwise.
factor by which to multiply default arrow lengths
When keys is a vector of integers, point.inc specifies the x-increment
between the point symbols that are overlaid periodically on the curves.
By default, point.inc is equal
to the range for the x-axis divided by 5.
an optional list which can be used to specify any of the options
to labcurve, with the usual element name abbreviations allowed.
This is useful when labcurve is being called from another
function. Example: opts=list(method="arrow", cex=.8, np=200).
For drawPlot a list of labcurve options to pass as
labcurve(…, opts=).
a list of extra arguments you wish to pass to key(), e.g.,
key.opts=list(background=1, between=3).
The argument names must be spelled out in full.
These two arguments are passed to the largest.empty function's
method and numbins arguments (see below).
For largest.empty specifies the number of bins in which to
discretize both the x and y directions for searching for
rectangles. Default is 25.
set to TRUE (or specify add) to cause the curves in curves to be
drawn, under the control of type,lty,lwd,col parameters defined
either in the curves lists or in the separate arguments given to
labcurve or through opts.
For largest.empty, set pl=TRUE to show the rectangle the function
found by drawing it with a solid color. May not be used under ggplot2.
By default, when curves are actually drawn by labcurve a new plot is
started. To add to an existing plot, set add=TRUE.
When a plot has already been started, ylim defaults to par("usr")[3:4].
When pl=TRUE, ylim and xlim are determined from the ranges of the data.
Specify ylim yourself to take control of the plot construction.
In some cases it is advisable to
make ylim larger than usual to allow for automatically-positioned keys.
For largest.empty, ylim specifies the limits on the y-axis to limit
the search for rectangle.
Here ylim defaults to the same as above, i.e., the range
of the y-axis of an open plot from par. For drawPlot the default
is c(0,1).
x-axis and y-axis labels when pl=TRUE and add=FALSE or for
drawPlot.
Defaults to "" unless the first curve has names for its first two
elements, in which case the names of these elements are taken as
xlab and ylab.
integer vector corresponding to curves specifying which curves
are to be labelled or have a legend
set to TRUE if the R grid package was used to draw the
current plot. This prevents labcurve from using
par("usr") etc. If using R grid you can pass coordinates
and lengths having arbitrary units, as documented in the unit
function. This is especially useful for offset.
When having labcurve label curves where they are most
separated, you can restrict the search for this separation point to a
range of the x-axis, specified as a 2-vector xrestrict. This
is useful when one part of the curve is very steep. Even though
steep regions may have maximum separation, the labels will collide
when curves are steep.
vector of plotting characters for putKey and putKeyEmpty. Can be
any value including NA when only a line is used to indentify the
group. Is a single plotting character for Points, with the default
being the next unused value from among 1, 2, 3, 4, 16, 17, 5, 6, 15,
18, 19.
set to FALSE to keep putKey or putKeyEmpty from actually drawing the
key. Instead, the size of the key will be return by putKey, or the
coordinates of the key by putKeyEmpty.
tells drawPlot which axes to draw tick marks and tick labels.
Default is "none".
for drawPlot and plot.drawPlot. Default is FALSE so that labcurve
is used to label points or curves. Set to TRUE to use
putKeyEmpty.
labcurve returns an invisible list with components x, y, offset, adj, cex, col, and if tilt=TRUE,
angle. offset is the amount to add to y to draw a label.
offset is negative if the label is drawn below the line.
adj is a vector containing the values 0, .5, 1.
largest.empty returns a list with elements x and y
specifying the coordinates of the center of the rectangle which was
found, and element rect containing the 4 x and y
coordinates of the corners of the found empty rectangle. The
area of the rectangle is also returned.
The internal functions Points, Curve, Abline have
unique arguments as follows.
label:for Points and Curve is a single
character string to label that group of points
n:number of points to accept from the mouse. Default is to input points until a right mouse click.
rug:for Points. Default is "none" to
not show the marginal x or y distributions as rug plots, for the
points entered. Other possibilities are used to execute
scat1d to show the marginal distribution of x, y, or both
as rug plots.
ymean:for Points, subtracts a constant from
each y-coordinate entered to make the overall mean ymean
degree:degree of polynomial to fit to points by
Curve
evaluation:number of points at which to evaluate
Bezier curves, polynomials, and other functions in Curve
ask:set ask=TRUE to give the user the
opportunity to try again at specifying points for Bezier curves,
step functions, and polynomials
The labcurve function used some code from the function plot.multicurve written
by Rod Tjoelker of The Boeing Company (tjoelker@espresso.rt.cs.boeing.com).
If there is only one curve, a label is placed at the middle x-value,
and no fancy features such as angle or positive/negative offsets are
used.
key is called once (with the argument plot=FALSE) to find the key
dimensions. Then an empty rectangle with at least these dimensions is
searched for using largest.empty. Then key is called again to draw
the key there, using the argument corner=c(.5,.5) so that the center
of the rectangle can be specified to key.
If you want to plot the data, an easier way to use labcurve is
through xYplot as shown in some of its examples.
# NOT RUN {
n <- 2:8
m <- length(n)
type <- c('l','l','l','l','s','l','l')
# s=step function l=ordinary line (polygon)
curves <- vector('list', m)
plot(0,1,xlim=c(0,1),ylim=c(-2.5,4),type='n')
set.seed(39)
for(i in 1:m) {
x <- sort(runif(n[i]))
y <- rnorm(n[i])
lines(x, y, lty=i, type=type[i], col=i)
curves[[i]] <- list(x=x,y=y)
}
labels <- paste('Label for',letters[1:m])
labcurve(curves, labels, tilt=TRUE, type=type, col=1:m)
# Put only single letters on curves at points of
# maximum space, and use key() to define the letters,
# with automatic positioning of the key in the most empty
# part of the plot
# Have labcurve do the plotting, leaving extra space for key
names(curves) <- labels
labcurve(curves, keys=letters[1:m], type=type, col=1:m,
pl=TRUE, ylim=c(-2.5,4))
# Put plotting symbols at equally-spaced points,
# with a key for the symbols, ignoring line types
labcurve(curves, keys=1:m, lty=1, type=type, col=1:m,
pl=TRUE, ylim=c(-2.5,4))
# Plot and label two curves, with line parameters specified with data
set.seed(191)
ages.f <- sort(rnorm(50,20,7))
ages.m <- sort(rnorm(40,19,7))
height.f <- pmin(ages.f,21)*.2+60
height.m <- pmin(ages.m,21)*.16+63
labcurve(list(Female=list(ages.f,height.f,col=2),
Male =list(ages.m,height.m,col=3,lty='dashed')),
xlab='Age', ylab='Height', pl=TRUE)
# add ,keys=c('f','m') to label curves with single letters
# For S-Plus use lty=2
# Plot power for testing two proportions vs. n for various odds ratios,
# using 0.1 as the probability of the event in the control group.
# A separate curve is plotted for each odds ratio, and the curves are
# labeled at points of maximum separation
n <- seq(10, 1000, by=10)
OR <- seq(.2,.9,by=.1)
pow <- lapply(OR, function(or,n)list(x=n,y=bpower(p1=.1,odds.ratio=or,n=n)),
n=n)
names(pow) <- format(OR)
labcurve(pow, pl=TRUE, xlab='n', ylab='Power')
# Plot some random data and find the largest empty rectangle
# that is at least .1 wide and .1 tall
x <- runif(50)
y <- runif(50)
plot(x, y)
z <- largest.empty(x, y, .1, .1)
z
points(z,pch=3) # mark center of rectangle, or
polygon(z$rect, col='blue') # to draw the rectangle, or
#key(z$x, z$y, \dots stuff for legend)
# Use the mouse to draw a series of points using one symbol, and
# two smooth curves or straight lines (if two points are clicked),
# none of these being labeled
# d <- drawPlot(Points(), Curve(), Curve())
# plot(d)
# }
# NOT RUN {
# Use the mouse to draw a Gaussian density, two series of points
# using 2 symbols, one Bezier curve, a step function, and raw data
# along the x-axis as a 1-d scatter plot (rug plot). Draw a key.
# The density function is fit to 3 mouse clicks
# Abline draws a dotted horizontal reference line
d <- drawPlot(Curve('Normal',type='gauss'),
Points('female'), Points('male'),
Curve('smooth',ask=TRUE,lty=2), Curve('step',type='s',lty=3),
Points(type='r'), Abline(h=.5, lty=2),
xlab='X', ylab='y', xlim=c(0,100), key=TRUE)
plot(d, ylab='Y')
plot(d, key=FALSE) # label groups using labcurve
# }
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