Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. The powers are
result <- data.frame(-1/x, -1/sqrt(x), log(x), sqrt(x), x, x^2)
names(result) <- c(-1, -.5, 0, .5, 1, 2)
ladder(formula.in, data=NULL,
main.in="Ladders of Powers",
panel.in=panel.cartesian,
xlab=deparse(formula.in[[3]]),
ylab=deparse(formula.in[[2]]),
scales=list(alternating=FALSE,
labels=FALSE, ticks=FALSE, cex=.6),
par.strip.text=list(cex=.6),
cex=.5, pch=16, between=list(x=.3, y=.3),
dsx=xlab,
dsy=ylab,
ladder.function=ladder.f,
strip.number=2,
strip.names,
strip.style=1,
strip,
oma=c(0,0,0,0), ## S-Plus
axis3.line=.61,
layout=c(length(tmp$x.power), length(tmp$y.power)),
axis.key.padding = 10, ## R right axis
key.axis.padding = 10, ## R top axis
useOuter=TRUE, ## R useOuterStrips(combineLimits(result))
...)ladder3(x, y,
dsx=deparse(substitute(x)),
dsy=deparse(substitute(y)),
ladder.function=ladder.f)
ladder.f(x, name.prefix="")
ladder.fstar(x, name.prefix="")
strip.ladder(which.given,
which.panel,
var.name,
factor.levels,
shingle.intervals,
par.strip.text=trellis.par.get("add.text"),
strip.names=c(TRUE,TRUE),
style=1,
...)
A formula with exactly one variable on each side.
data.frame
main
title for xyplot
panel.cartesian
has many arguments in addition
to the arguments in panel.xyplot
. Any replacement
panel function must have those argument names, even if it
doesn't do anything with them.
Trellis arguments, default to right- and left-sides
of the formula.in
.
Strip function. Our default is strip.ladder
(see below). The other viable argument value is FALSE
.
arguments for xyplot
.
Names to be used as level names in
ladder.function
for the generated factor distinguishing the
powers. They default to xlab, ylab
. For long variable names,
an abbreviated name here will decrease clutter in the ladder of powers
plot. These names are not visible in the plot when
strip=FALSE
.
function to use to create data.frame of powers of input variable.
Base name used for column names of powers. The
default is empty (""
). An alternative must include
the power symbol "^"
, for example, "abc^"
.
Number of strip labels in each panel of the display.
0: no strip labels; 1: one strip label of the form y^p ~ x^q
;
2: two strip labels of the form ylab: y^p
and xlab: x^q
,
where p
and q
are the powers returned by ladders
;
y
and x
are the arguments dsy
and dsx
.
logical, defaults to TRUE
. In R, this implies
that strip.number
is forced to 2
and that the
resulting "trellis"
object will be sent through
useOuterStrips(combineLimits(result))
.
This argument is ignored by S-Plus.
style
argument to strip
.
argument to par
in S-Plus.
other arguments to xyplot
.
extra space to make the top axis align with the top of the top row of panels. Trial and error to choose a good value.
Extra space on right of set of panels in R.
Extra space on top of set of panels in R.
variables.
See
We always print the strip.names
in style=1
. Multicolored styles are too busy.
ladder
returns a "trellis"
object.
The functions ladder.fstar
and ladder.f
take an input
vector x
of non-negative values and construct a data.frame by
taking the input to the powers c(-1, -.5, 0, .5, 1, 2)
, one
column per power. ladder.f
uses the simple powers and
ladder.fstar
uses the scaled Box--Cox transformation.
ladder.fstar |
ladder.fstar |
notation |
(x^p - 1)/p |
(x^p - 1)/p |
p |
(1/x - 1)/(-1) |
(1/x - 1)/(-1) |
-1.0 |
(1/sqrt(x)-1)/(-.5) |
(1/sqrt(x)-1)/(-.5) |
-0.5 |
log(x) |
log(x) |
0.0 |
((sqrt(x)-1)/.5) |
((sqrt(x)-1)/.5) |
0.5 |
x-1 |
x-1 |
1.0 |
(x^2 - 1)/2 |
(x^2 - 1)/2 |
2.0 |
ladder3
takes two vectors as arguments. It returns a
data.frame
with five columns:
X, Y
: data to be plotted. The column X
contains the data
from the input x
taken to all the powers and aligned with the
similarly expanded column Y
.
x, y
: symbolic labeling of the power corresponding to X,Y
.
group
: result from pasting the labels in x, y
with *
between them.
The ladder
function uses panel.cartesian
which is
defined differently in R (using grid graphics) and S-Plus (using
traditional graphics). Therefore the fine control over appearance
uses different arguments or different values for the same arguments.
Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Second Edition. Springer-Verlag, New York. https://link.springer.com/us/book/9781493921218
Hoaglin, D.~C., Mosteller, F., and Tukey, J.~W., editors (1983). Understanding Robust and Exploratory Data Analysis. Wiley.
Box, G. E.~P. and Cox, D.~R. (1964). An analysis of transformations. J. Royal Statist Soc B, 26:211--252.
# NOT RUN {
data(tv)
## default
## R: outer strip labels
ladder(life.exp ~ ppl.per.phys, data=tv,
main="Ladder of Powers for Life Expectancy and People per Physician")
# }
# NOT RUN {
## one strip label
ladder(life.exp ~ ppl.per.phys, data=tv, strip.number=1, useOuter=FALSE,
dsx="ppp", dsy="le")
## two strip labels
ladder(life.exp ~ ppl.per.phys, data=tv, strip.number=2, useOuter=FALSE)
## outer strip labels
ladder(life.exp ~ ppl.per.phys, data=tv, useOuter=TRUE)
## no strip labels (probably silly, but possible)
ladder(life.exp ~ ppl.per.phys, data=tv, strip.number=0, useOuter=FALSE)
# }
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