| xyplot {lattice} | R Documentation |
These are the most commonly used Trellis functions to look at pairs of
variables. By far the most common is xyplot, designed mainly
for two continuous variates (though factors can be supplied as well,
in which case they will simply be coerced to numeric), which produces
Conditional Scatterplots. The others are useful when one of the
variates is a factor or a shingle. See details below.
Most of the arguments documented here are also applicable for many of the other Trellis functions. These are not described in any detail elsewhere, and this should be considered the canonical documentation for such arguments.
Note that any arguments passed to these functions and not recognized by them will be passed to the panel function. Most predefined panel functions have arguments that customize its output. These arguments are described only in the help pages for these panel functions, but can usually be supplied as arguments to the high level plot.
xyplot(formula,
data = parent.frame(),
panel = if (is.null(groups)) "panel.xyplot"
else "panel.superpose",
allow.multiple,
outer,
aspect = "fill",
as.table = FALSE,
between,
groups,
key,
auto.key = FALSE,
legend,
layout,
main,
page,
par.strip.text,
prepanel,
scales,
skip,
strip = "strip.default",
sub,
xlab,
xlim,
ylab,
ylim,
drop.unused.levels = TRUE,
par.settings,
perm.cond,
index.cond,
...,
panel.groups = "panel.xyplot",
subscripts,
subset)
dotplot(formula,
data,
panel = "panel.dotplot",
groups = NULL,
...,
subset = TRUE)
barchart(formula,
data,
panel = "panel.barchart",
box.ratio = 2,
groups = NULL,
...,
subset = TRUE)
stripplot(formula,
data,
panel = "panel.stripplot",
jitter = FALSE,
factor = .5,
box.ratio = if (jitter) 1 else 0,
groups = NULL,
...,
subset = TRUE)
bwplot(formula,
data,
panel = "panel.bwplot",
box.ratio = 1,
...,
horizontal,
subset = TRUE)
formula |
a formula describing the form of conditioning plot. The formula is
generally of the form y ~ x | g1 * g2 * ..., indicating
that plots of y (on the y axis) versus x (on the x
axis) should be produced conditional on the variables
g1, g2, .... However, the conditioning variables
g1,g2,... may be omitted. For S-PLUS compatibility, the
formula can also be written as y ~ x | g1 + g2 + ....
For all these functions other than xyplot, a formula of the
form ~ x | g1 * g2 * ... is also allowed. In that case,
y defaults to as.factor(names(x)) if x is
named, and a factor with a single level otherwise.
Although it is not recommended, usage of the form dotplot(x)
(where the formula argument is not a formula at all) is also
allowed, and is equivalent to dotplot{ ~ x}.
The conditioning variables g1, g2, ... must be either
factors or shingles (Shingles are a way of processing numeric
variables for use in conditioning. See documentation of
shingle for details. Like factors, they have a
`levels' attribute, which is used in producing the conditioning
plots). For each unique combination of the levels of the
conditioning variables g1, g2, ..., a separate panel is
produced using the points (x,y) for the subset of the data
(also called packet) defined by that combination.
The order in which the panels are drawn depends on the order in which the conditioning variables are specified ( g1 varies
fastest). Within a conditioning variable, the order depends on the
order of the levels (which for factors is usually in alphabetical
order). Both of these orders can be modified using the
order.cond and perm.cond arguments, typically in the
update method.
Numeric conditioning variables are converted to shingles by the function shingle (however, using equal.count
might be more appropriate in many cases) and character vectors are
coerced to factors.
The formula can involve expressions, e.g. sqrt(),log().
A special case is when the left and/or right sides of the formula (before the conditioning variables) contain a `+' sign, e.g., y1+y2 ~ x | a*b. This formula would be taken to mean that the
user wants to plot both y1~x | a*b and y2~x | a*b, but
with the y1~x and y2~x superposed in each panel (this
is slightly more complicated in barchart). The two parts
would be distinguished by different graphical parameters. This is
essentially what the groups argument would produce, if
y1 and y2 were concatenated to produce a longer
vector, with the groups argument being an indicator of which
rows come from which variable. In fact, this is exactly what is done
internally using the reshape function. This feature
cannot be used in conjunction with the groups argument.
To interpret y1+y2 as a sum, one can either set
allow.multiple=FALSE or use I(y1+y2).
A variation on this feature is when the outer argument is set
to TRUE as well as allow.multiple. In that case, the
plots are not superposed in each panel, but instead separated into
different panels (as if a new conditioning variable had been added).
The x and y variables should both be numeric in
xyplot, and an attempt is made to coerce them if
not. However, if either is a factor, the levels of that factor are
used as axis labels. In the other four functions documented here,
exactly one of x and y should be numeric, and the
other a factor or shingle. Which of these will happen is determined
by the horizontal argument — if horizontal=TRUE,
then y will be coerced to be a factor or shingle, otherwise
x. The default value of horizontal is FALSE if
x is a factor or shingle, TRUE otherwise. (The
functionality provided by horizontal=FALSE is not
S-compatible.)
All points with at least one of its values missing (NA) in any of the variates involved are omitted from the plot. |
data |
a data frame containing values for any variables in the
formula, as well as groups and subset if applicable.
By default the environment where the function was called from is
used.
|
allow.multiple, outer |
logical flags to control what happens with formulas like y1 +
y2 ~ x. See the entry for formula for details.
allow.multiple defaults to TRUE whenever it makes
sense, and outer defaults to FALSE except when
groups is explicitly specified or grouping doesn't make sense
for the default panel function
|
box.ratio |
applicable to bwplot, barchart and
stripplot, specifies the ratio of the width of the rectangles
to the inter rectangle space.
|
horizontal |
logical, applicable to bwplot, dotplot,
barchart and stripplot. Determines which of x and
y is to be a factor or shingle (y if TRUE, x
otherwise). Defaults to FALSE if x is a factor or
shingle, TRUE otherwise. This argument is used to process the
arguments to these high level functions, but more importantly, it is
passed as an argument to the panel function, which is supposed to
use it as approporiate.
A potentially useful component of scales is this case might
be abbreviate = TRUE, in which case long labels which would
usually overlap will be abbreviated. scales could also
contain a minlength argument in this case, which would be
passed to the abbreviate function.
|
jitter |
logical specifying whether the values should be jittered by adding a random noise in stripplot. |
factor |
numeric controlling amount of jitter. Inverse effect compared to S ? |
panel |
Once the subset of rows defined by each unique
combination of the levels of the grouping variables are obtained
(see above), the corresponding x and y variables (or
some other variables, as appropriate, in the case of other
functions) are passed on to be plotted in each panel. The actual
plotting is done by the function specified by the panel
argument. Each high level function has its own default panel
function, which could depend on whether the groups argument
was supplied.
The panel function can be a function object or a character string giving the name of a predefined function. (The latter is preferred when possible, especially when the trellis object returned by the high level function is to be stored and plotted later.) Much of the power of Trellis Graphics comes from the ability to define customized panel functions. A panel function appropriate for the functions described here would usually expect arguments named x and y, which would be provided by the
conditioning process. It can also have other arguments. It might be
useful to know in this context that all arguments passed to a high
level Trellis function (such as xyplot) that are not
recognized by it are passed through to the panel function. It is
thus generally good practice when defining panel functions to allow
a ... argument. Such extra arguments typically control
graphical parameters, but other uses are also common. See
documentation for individual panel functions for specifics.
Note that unlike in S-PLUS, it is not guaranteed that panel functions will be supplied only numeric vectors for the x and
y arguments; they can be factors as well (but not
shingles). panel functions need to handle this case, which to get
the old behaviour could simply coerce them to numeric.
Technically speaking, panel functions must be written using Grid graphics functions. However, knowledge of Grid is usually not necessary to construct new custom panel functions, there are several predefined panel functions which can help; for example, panel.grid, panel.loess etc. There are also some
grid-compatible replacements of base R graphics functions useful for
this purpose, such as llines. (Note that the corresponding
base R graphics functions like lines would not work.) These
are usually sufficient to convert existing custom panel functions
written for S-PLUS.
One case where a bit more is required of the panel function is when the groups argument is not null. In that case, the panel
function should also accept arguments named groups and
subscripts (see below for details). A very useful panel
function predefined for use in such cases is panel.superpose,
which can be combined with different panel.groups
functions. See the examples section for an interaction plot
constructed this way. Several other panel functions can also handle
the groups argument, including the default ones for
barchart, dotplot and stripplot.
Even when groups is not present, the panel function can have
subscripts as a formal argument. In either case, the
subscripts argument passed to the panel function are the
indices of the x and y data for that panel in the
original data, BEFORE taking into account the effect of
the subset argument. Note that groups remains
unaffected by any subsetting operations, so
groups[subscripts] gives the values of groups that
correspond to the data in that panel. (This becomes slightly more
complicated when allow.multiple is in effect. Details are
explained in the source code (function latticeParseFormula).)
A panel function can have two other optional arguments for convenience, namely panel.number and
panel.counter. Both provide a simple integer index indicating
which panel is currently being drawn, but differ in how the count is
calculated. panel.counter is a simple incremental counter
that starts with 1 and is incremented each time a panel is
drawn. panel.number on the other hand depends only on the
combination of levels of the conditioning variables that is
represented by that panel. The two indices coincide unless the order
of conditioning variables is permuted and/or the plotting order of
levels within one or more conditioning variables is altered (using
perm.cond and index.cond respectively), in which case
panel.number gives the index corresponding to the `natural'
ordering of that combination of levels of the conditioning
variables.
panel.xyplot has an argument called type which is
worth mentioning here because it is quite frequently used (and as
mentioned above, can be passed to xyplot directly). panel
functions for bwplot and friends should have an argument
called horizontal to account for the cases when x is
the factor or shingle.
|
panel.groups |
useful mostly for xyplot and
densityplot. Applies when panel is
panel.superpose (which happens by default in these cases if
groups is non-null)
|
aspect |
controls physical aspect ratio of the panels (same for
all the panels). It can be specified as a ratio (vertical
size/horizontal size) or as a character string. Legitimate
values are "fill" (the default) which tries to make the panels as
big as possible to fill the available space, and "xy", which
tries to compute the aspect based on the 45 degree banking
rule (see Visualizing Data by William S. Cleveland for
details).
If a prepanel function is specified, the dx, dy
components returned by it are used to compute the aspect, otherwise
the default prepanel function is used. Currently, only the default
prepanel function for xyplot produces sensible banking
calculations.
The current implementation of banking is not very sophisticated, but is not totally vague either. See banking for details.
|
as.table |
logical that controls the order in which panels should be plotted: if FALSE, panels are drawn left to right, bottom to top (graph), if TRUE, left to right, top to bottom (matrix). |
between |
a list with components x and y (both
usually 0 by default), numeric vectors specifying the space between
the panels (units are character heights). x and y are
repeated to account for all panels in a page and any extra
components are ignored. The result is used for all pages in a
multipage display. (In other words, it is not possible to use
different between values for different pages).
|
groups |
used typically with panel=panel.superpose
to allow display controls (color, lty etc) to vary according
to a grouping variable. Formally, if groups is specified, then
groups along with subscripts is passed to the panel
function, which is expected to handle these arguments.
It is very common to use a key (legend) when a grouping variable is specified. See entries for key, auto.key and
simpleKey for how to draw a key.
|
auto.key |
A logical (indicating whether a key is to be drawn automatically when
a grouping variable is present in the plot), or a list of parameters
that would be valid arguments to simpleKey. If
auto.key is not FALSE, groups is non-null and
there is no key or legend argument specified in the
call, a key is created with simpleKey with
levels(groups) as the first argument. (Note: this may not
work in all high level functions, but it does work for the ones
where grouping makes sense with the default panel function)
simpleKey uses the trellis settings to determine the
graphical parameters in the key, so this will be meaningful only if
the settings are used in the plot as well.
One disadvantage to using key (or even simpleKey)
directly is that the graphical parameters used in the key are
absolutely determined at the time when the ``trellis'' object is
created. Consequently, if a plot once created is re-printed
on another device, the parameter settings for the original device
will be used. However, with auto.key, the key is actually
created at printing time, so the key settings match the device
settings.
|
key |
A list of arguments that define a legend to be drawn on the
plot. This list is used as an argument to the draw.key
function, which produces a grid object eventually plotted by the
print method for ``trellis'' objects.
There is also a less flexible but usually sufficient shortcut function simpleKey that can generate such a list, as
well as the argument auto.key that can be convenient in the
most common situation where legends are used, namely when there is a
grouping variable. To use more than one legend, or to have arbitrary
legends not constrained by the structure imposed by key, use
the legend argument.
The position of the key can be controlled in either of two possible ways. If a component called space is present, the key is
positioned outside the plot region, in one of the four sides,
determined by the value of space, which can be one of
``top'', ``bottom'', ``left'' and ``right''. Alternatively, the key
can be positioned inside the plot region by specifying components
x,y and corner. x and y determine the
location of the corner of the key given by corner, which can
be one of c(0,0), c(1,0), c(1,1),c(0,1), which denote the
corners of the unit square. x and y must be numbers
between 0 and 1, giving coordinates with respect to the whole
display area.
The key essentially consists of a number of columns, possibly divided into blocks, each containing some rows. The contents of the key are determined by (possibly repeated) components named ``rectangles'', ``lines'', ``points'' or ``text''. Each of these must be lists with relevant graphical parameters (see later) controlling their appearance. The key list itself can contain
graphical parameters, these would be used if relevant graphical
components are omitted from the other components.
The length (number of rows) of each such column (except ``text''s) is taken to be the largest of the lengths of the graphical components, including the ones specified outside (see the entry for rep below for details on this). The ``text'' component has to
have a character or expression vector as its first component, and
the length of this vector determines the number of rows.
The graphical components that can be included in key (and
also in the components named ``text'', ``lines'', ``points'' and
``rectangles'' when appropriate) are cex=1, col="black",
lty=1, lwd=1, font=1, pch=8, adj=0, type="l", size=5, angle=0,
density=-1. adj, angle, density are
unimplemented. size determines the width of columns of
rectangles and lines in character widths. type is relevant
for lines; `"l"' denotes a line, `"p"' denotes a point, and `"b"'
and `"o"' both denote both together.
Other possible components of key are:
between: numeric vector giving the amount of space (character
widths) surrounding each column (split equally on both sides),
title: string or expression, title of the key,
rep: logical, defaults to TRUE. By default, it's assumed that
all columns in the key (except the ``text''s) will have the same
number of rows, and all components are replicated to be as long as
the longest. This can be suppressed by specifying rep =
FALSE, in which case the length of each column will be determined
by components of that colunm alone.
cex.title: cex for the title
background: defaults to default background
border: color of border, black if TRUE, defaults to FALSE (no
border drawn)
transparent=FALSE: logical, whether key area should be cleared
columns: the number of columns column-blocks the key is to be
divided into, which are drawn side by side.
betwen.columns: Space between column blocks, in addition to
between.
divide Number of point symbols to divide each line when
type is `"b"' or `"o"' in lines.
|
legend |
the legend argument can be useful if one wants to place more than
one key. It also allows one to use arbitrary ``grob''s (grid
objects) as legends.
If used, legend must be a list with an arbitrary number of
components. Each component must be named one of ``left'', ``right'',
``top'', ``bottom'' or ``inside''. The name ``inside'' can be
repeated, but not the others. This name will be used to determine
the location for that component, and is similar to the space
component of key. If key (or colorkey for
levelplot and wireframe) is specified,
their space component must not conflict with the name of any
component of legend.
Each component of legend must have a component called
fun. This can be a ``grob'', or a function or the name of a
function that produces a ``grob'' when called. If this function
expects any arguments, they must be supplied as a list in another
component called args. For components named ``inside'', there
can be additional components called x, y and corner,
which work in the same way as it does for key.
|
layout |
In general, a Trellis conditioning plot consists of several panels
arranged in a rectangular array, possibly spanning multiple
pages. layout determines this arrangement.
layout is a numeric vector giving the number of columns, rows
and pages in a multipanel display. By default, the number of columns
is determined by the number of levels in the first given variable;
the number of rows is the number of levels of the second given
variable. If there is one given variable, the default layout vector
is c(0,n) , where n is the number of levels of the given vector. Any
time the first value in the layout vector is 0 , the second value is
used as the desired number of panels per page and the actual layout
is computed from this, taking into account the aspect ratio of the
panels and the device dimensions (via par("din")). The number
of pages is by default set to as many as is required to plot all the
panels. In general, giving a high value of layout[3] is not
wasteful because blank pages are never created.
|
main |
character string or expression or list describing main
title to be placed on top of each page. Defaults to NULL. Can
be a character string or expression, or a list with components
label, cex, col, font. The label tag can be omitted if
it is the first element of the list. Expressions are treated as
specification of LaTeX-like markup as in plotmath
|
page |
a function of one argument (page number) to be called after drawing each page. The function must be `grid-compliant', and is called with the whole display area as the default viewport. |
par.strip.text |
list of graphical parameters to control the
strip text, possible components are col, cex, font, lines.
The first three control graphical parameters while the last is a
means of altering the height of the strips. This can be useful, for
example, if the strip labels (derived from factor levels, say) are
double height (i.e., contains ``\n''-s) or if the default height
seems too small or too large.
|
prepanel |
function that takes the same arguments as the
panel function and returns a list containing four components
xlim, ylim, dx, dy. If xlim and ylim are not
explicitly specified (possibly as components in scales), then
the actual limits of the panels are guaranteed to include the limits
returned by the prepanel function. This happens globally if the
relation component of scales is "same", and on a panel
by panel basis otherwise. See xlim to see what forms of the
components xlim, ylim are allowed.
The dx and dy components are used for banking
computations in case aspect is specified as "xy". See
documentation for the function banking for details regarding
how this is done.
The return value of the prepanel function need not have all the components named above; in case some are missing, they are replaced by the usual componentwise defaults. The prepanel function is responsible for providing a meaningful return value when the x, y (etc.) variables are zero-length
vectors. When nothing is appropriate, values of NA should be
returned for the xlim and ylim components.
|
scales |
list determining how the x- and y-axes (tick marks and
labels) are drawn. The list contains parameters in name=value form,
and may also contain two other lists called x and y of
the same form (described below). Components of x and y
affect the respective axes only, while those in scales affect
both. (When parameters are specified in both lists, the values in
x or y are used.) The components are :
relation : determines limits of the axis. Possible values are "same" (default), "free" and "sliced". For relation="same", the same limits (determined by xlim, ylim, scales$limits etc) are used for
all the panels. For relation="free", limits for each panel is
determined by the points in that panel (via the prepanel
function). Behaviour for relation = "sliced" is similar, except that
the length (max - min) of the scales are constrained to remain the
same across panels (limits specified as character vectors, if any,
are ignored in these computations). If relation is not "same", the
value of xlim/ ylim/ scales$limits is normally ignored,
except when the latter is a list, when it is treated as if its
components were the limit values obtained from the prepanel
calculations for each panel.
tick.number: Suggested number of ticks (ignored for a factor, shingle or character vector, in which case there's no natural rule for leaving out some of the labels. But see xlim). draw = TRUE: logical, whether to draw the axis at all. alternating = TRUE/c(1,2): logical specifying whether axes alternate from one side of the group of panels to the other. For more accurate control, alternating can be a vector (replicated to be as long as the number of rows or columns per page) consisting of the possible numbers 0=do not draw, 1=bottom/left, 2=top/right and 3=both. alternating applies only when relation="same". limits: same as xlim and ylim. at: location of tick marks along the axis (in native coordinates), or a list as long as the number of panels describing tick locations for each panel. labels: Labels (strings or expressions) to go along with at. Can be a list like at as well.
cex: factor to control character sizes for axis labels. Can be a vector of length 2, to control left/bottom and right/top separately. font: font face for axis labels (integer 1-4). tck: factor to control length of tick marks. Can be a vector of length 2, to control left/bottom and right/top separately. col: color of ticks and labels. rot: Angle by which the axis labels are to be rotated. Can be a vector of length 2, to control left/bottom and right/top separately. abbreviate: logical, whether to abbreviate the labels using abbreviate. Can be useful for long labels (e.g., in factors),
especially on the x-axis.
minlength: argument to abbreviate if abbreviate=TRUE.
log: Use a log scale. Defaults to FALSE, other possible
values are any number that works as a base for taking logarithm,
TRUE, equivalent to 10, and "e" (for natural
logarithm). Note that in this case the values passed to the panel
function are already transformed, so all computations done inside
the panel funtion will be affected accordingly. For example,
panel.lmline will fit a line to the transformed values.
format: the format to use for POSIXct variables. See
strptime for description of valid strings.
axs: character, ``r'' or ``i''. In the latter case, the axis limits are calculated as the exact data range, instead of being padded on either side. (May not always work as expected.) Note: Much of the function of scales is accomplished by
pscales in splom.
|
skip |
logical vector (default FALSE), replicated to be
as long as the number of panels (spanning all pages). If
TRUE, nothing is plotted in the corresponding panel. Useful
for arranging plots in an informative manner.
|
strip |
logical flag or function. If FALSE, strips are
not drawn. Otherwise, strips are drawn using the strip
function, which defaults to strip.default. See documentation
of strip.default to see the form of a strip function.
|
sub |
character string or expression for a subtitle to be placed
at the bottom of each page. See entry for main for finer
control options.
|
subscripts |
logical specifying whether or not a vector named
subscripts should be passed to the panel function. Defaults to
FALSE, unless groups is specified, or if the panel function
accepts an argument named subscripts. (One should be careful
when defining the panel function on-the-fly.)
|
subset |
logical or integer indexing vector (can be specified in
terms of variables in data). Everything will be done on the
data points indexed by subset. In case subscripts
is TRUE, the subscripts will provide indices to the rows of data
AFTER the subsetting is done (unlike S-PLUS).
|
xlab |
character string or expression giving label for the
x-axis. Defaults to the expression for x in
formula. Specify as NULL to omit the label
altogether. Fine control is possible, see entry for sub.
|
xlim |
Normally a numeric vector of length 2 (possibly a
DateTime object) giving minimum and maximum for the x-axis, or, a
character vector, expected to denote the levels of x. The
latter form is interpreted as a range containing c(1, length(xlim)),
with the character vector determining labels at tick positions
1:length(xlim)
xlim could also be a list, with as many components as the
number of panels (recycled if necessary), with each component as
described above. This is meaningful only when
scales$x$relation is "free" or "sliced", in which case these
are treated as if they were the corresponding limit components
returned by prepanel calculations.
|
ylab |
character string or expression giving label for the
y-axis. Defaults to the expression for y in
formula. Fine control possible, see entry for xlab.
|
ylim |
same as xlim, applied to the y-axis.
|
drop.unused.levels |
logical indicating whether the unused levels of factors will be
dropped. Defaults to TRUE, but it is sometimes useful to
suppress dropping to preserve an useful layout. For finer control,
this argument could also be list containing components cond
and data, both logical, indicating desired behaviour for
conditioning variables and data variables respectively.
|
par.settings |
a list that could be supplied to lset. This enables
the user to attach some display settings to the trellis object
itself rather than change the settings globally. When the object is
printed, these settings are temporarily in effect for the duration
of the plot, after which the settings revert back to whatever it was
before.
|
perm.cond |
numeric vector, a permutation 1:n, where n is the
number of conditioning variables. The order in which panels are
drawn depends on the order of the conditioning variables specified
in the formula. perm.cond can modify this order. If
the trellis display is thought of as an n-dimensional array,
then during printing, its dimensions are permuted using
perm.cond as the perm argument to aperm
|
index.cond |
While perm.cond permutes the dimensions of the
multidimensional array of panels, index.cond can be used to
subset that array.
The panel display order within each conditioning variable depends on the order of their levels. index.cond can be used to choose a
`subset' (in the R sense) of each of these levels.
index.cond has to be a list as long as the number of
conditioning variables, and the i-th component has to be a
valid indexing vector for the integer vector 1:nlevels(g_i)
(which can repeat some of the levels or drop some altogether). The
result of this indexing determines the order of panels within that
conditioning variable. (To keep the order of a particular variable
unchanged, one can simply set the corresponding component to
TRUE.)
Note that the components of index.cond are in the order of
the conditioning variables in the original call, and is not affected
by perm.cond.
Although they can be supplied in high level function calls directly, it is more typical to use perm.cond and index.cond to
update an existing ``trellis'' object, thus allowing it to be
displayed in a different arrangement without re-calculating the data
subsets that go into each panel.
|
... |
other arguments, passed to the panel function.
The arguments horizontal and panel.groups are
documented here to avoid confusion, but they are actually not
recognised by these high level functions. Rather, they are passed
along to the panel function, as are any other unrecognized
arguments.
|
These are for the most part decriptions generally applicable to all
high level Lattice functions, with special emphasis on xyplot,
bwplot etc. For other functions, their individual documentation
should be studied in addition to this.
An object of class ``trellis''. The `update' method can be used to update components of the object and the `print' method (usually called by default) will plot it on an appropriate plotting device.
Deepayan Sarkar deepayan@stat.wisc.edu
Lattice,
print.trellis,
shingle,
banking,
reshape
panel.xyplot,
panel.bwplot,
panel.barchart,
panel.dotplot,
panel.stripplot,
panel.superpose,
panel.loess,
panel.linejoin,
strip.default,
simpleKey
lset
require(stats)
## Tonga Trench Earthquakes
data(quakes)
Depth <- equal.count(quakes$depth, number=8, overlap=.1)
xyplot(lat ~ long | Depth, data = quakes)
## Examples with data from `Visualizing Data' (Cleveland)
## (obtained from Bill Cleveland's Homepage :
## http://cm.bell-labs.com/cm/ms/departments/sia/wsc/, also
## available at statlib)
data(ethanol)
EE <- equal.count(ethanol$E, number=9, overlap=1/4)
## Constructing panel functions on the fly; prepanel
xyplot(NOx ~ C | EE, data = ethanol,
prepanel = function(x, y) prepanel.loess(x, y, span = 1),
xlab = "Compression Ratio", ylab = "NOx (micrograms/J)",
panel = function(x, y) {
panel.grid(h=-1, v= 2)
panel.xyplot(x, y)
panel.loess(x,y, span=1)
},
aspect = "xy")
## with and without banking
data(sunspots)
spots <- by(sunspots, gl(235, 12, lab = 1749:1983), mean)
plot <- xyplot(spots ~ 1749:1983, xlab = "", type = "l",
scales = list(x = list(alternating = 2)),
main = "Average Yearly Sunspots")
print(plot, position = c(0, .3, 1, .9), more = TRUE)
print(update(plot, aspect = "xy", main = "", xlab = "Year"),
position = c(0, 0, 1, .3))
## Multiple variables in formula for grouped displays
data(iris)
xyplot(Sepal.Length + Sepal.Width ~ Petal.Length + Petal.Width | Species,
data = iris, scales = "free", layout = c(2, 2),
auto.key = list(x = .6, y = .7, corner = c(0, 0)))
## user defined panel functions
data(state)
states <- data.frame(state.x77,
state.name = dimnames(state.x77)[[1]],
state.region = state.region)
xyplot(Murder ~ Population | state.region, data = states,
groups = state.name,
panel = function(x, y, subscripts, groups)
ltext(x = x, y = y, label = groups[subscripts], cex=1,
fontfamily = "HersheyPlain"))
data(barley)
barchart(yield ~ variety | site, data = barley,
groups = year, layout = c(1,6),
ylab = "Barley Yield (bushels/acre)",
scales = list(x = list(abbreviate = TRUE,
minlength = 5)))
barchart(yield ~ variety | site, data = barley,
groups = year, layout = c(1,6), stack = TRUE,
auto.key = list(points = FALSE, rectangles = TRUE, space = "right"),
ylab = "Barley Yield (bushels/acre)",
scales = list(x = list(rot = 45)))
data(singer)
bwplot(voice.part ~ height, data=singer, xlab="Height (inches)")
dotplot(variety ~ yield | year * site, data=barley)
dotplot(variety ~ yield | site, data = barley, groups = year,
key = simpleKey(levels(barley$year), space = "right"),
xlab = "Barley Yield (bushels/acre) ",
aspect=0.5, layout = c(1,6), ylab=NULL)
stripplot(voice.part ~ jitter(height), data = singer, aspect = 1,
jitter = TRUE, xlab = "Height (inches)")
## Interaction Plot
data(OrchardSprays)
bwplot(decrease ~ treatment, OrchardSprays, groups = rowpos,
panel = "panel.superpose",
panel.groups = "panel.linejoin",
xlab = "treatment",
key = list(lines = Rows(trellis.par.get("superpose.line"),
c(1:7, 1)),
text = list(lab = as.character(unique(OrchardSprays$rowpos))),
columns = 4, title = "Row position"))