trellisplots | R Documentation |
These methods use the Trellis framework as implemented in the
lattice
package to produce space-conserving diagnostic plots
from "mcmc"
and "mcmc.list"
objects. The xyplot
methods produce trace plots. The densityplot
methods and
qqmath
methods produce empirical density and probability
plots. The levelplot
method depicts the correlation of the
series. The acfplot
methods plot the auto-correlation in the
series.
Not yet available in S-PLUS.
## S3 method for class 'mcmc'
densityplot(x, data,
outer, aspect = "xy",
default.scales = list(relation = "free"),
start = 1, thin = 1,
main = attr(x, "title"),
xlab = "",
plot.points = "rug",
...,
subset)
## S3 method for class 'mcmc.list'
densityplot(x, data,
outer = FALSE, groups = !outer,
aspect = "xy",
default.scales = list(relation = "free"),
start = 1, thin = 1,
main = attr(x, "title"),
xlab = "",
plot.points = "rug",
...,
subset)
## S3 method for class 'mcmc'
levelplot(x, data, main = attr(x, "title"),
start = 1, thin = 1,
...,
xlab = "", ylab = "",
cuts = 10, at,
col.regions = topo.colors(100),
subset)
## S3 method for class 'mcmc'
qqmath(x, data,
outer, aspect = "xy",
default.scales = list(y = list(relation = "free")),
prepanel = prepanel.qqmathline,
start = 1, thin = 1,
main = attr(x, "title"),
ylab = "",
...,
subset)
## S3 method for class 'mcmc.list'
qqmath(x, data,
outer = FALSE, groups = !outer,
aspect = "xy",
default.scales = list(y = list(relation = "free")),
prepanel = prepanel.qqmathline,
start = 1, thin = 1,
main = attr(x, "title"),
ylab = "",
...,
subset)
## S3 method for class 'mcmc'
xyplot(x, data,
outer, layout = c(1, nvar(x)),
default.scales = list(y = list(relation = "free")),
type = 'l',
start = 1, thin = 1,
xlab = "Iteration number",
ylab = "",
main = attr(x, "title"),
...,
subset)
## S3 method for class 'mcmc.list'
xyplot(x, data, outer = FALSE, groups = !outer,
aspect = "xy", layout = c(1, nvar(x)),
default.scales = list(y = list(relation = "free")),
type = 'l',
start = 1, thin = 1,
xlab = "Iteration number",
ylab = "",
main = attr(x, "title"),
...,
subset)
acfplot(x, data, ...)
## S3 method for class 'mcmc'
acfplot(x, data, outer,
prepanel, panel,
type = 'h',
aspect = "xy",
start = 1, thin = 1,
lag.max = NULL,
ylab = "Autocorrelation",
xlab = "Lag",
main = attr(x, "title"),
...,
subset)
## S3 method for class 'mcmc.list'
acfplot(x, data, outer = FALSE, groups = !outer,
prepanel, panel,
type = if (groups) 'b' else 'h',
aspect = "xy",
start = 1, thin = 1,
lag.max = NULL,
ylab = "Autocorrelation",
xlab = "Lag",
main = attr(x, "title"),
...,
subset)
x |
an |
data |
ignored, present for consistency with generic. |
outer |
for the |
groups |
for the |
aspect |
controls the physical aspect ratio of the panel. See
|
default.scales |
this parameter provides a reasonable default
value of the |
type |
a character vector that determines if lines, points,
etc. are drawn on the panel. The default values for the methods are
carefully chosen. See
|
thin |
an optional thinning interval that is applied before the plot is drawn. |
start |
an optional value for the starting point within the series. Values before the starting point are considered part of the "burn-in" of the series and dropped. |
plot.points |
character argument giving the style in which
points are added to the plot. See
|
layout |
a method-specific default for the |
xlab , ylab , main |
Used to provide default axis annotations and plot labels. |
cuts , at |
defines number and location of values where colors change |
col.regions |
color palette used |
lag.max |
maximum lag for which autocorrelation is computed. By
default, the value chosen by |
prepanel , panel |
suitable prepanel and panel functions for
|
... |
other arguments, passed to the lattice function.
Documentation of the corresponding generics in the |
subset |
indices of the subset of the series to plot. The
default is constructed from the |
An object of class "trellis"
. The relevant
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.Sarkar@R-project.org
Lattice
for a brief introduction to
lattice displays and links to further documentation.
data(line)
## Not run:
xyplot(line)
xyplot(line[[1]], start = 10)
densityplot(line, start = 10)
qqmath(line, start = 10)
levelplot(line[[2]])
acfplot(line, outer = TRUE)
## End(Not run)
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