xyplot.stl | R Documentation |
Display stl
decomposition (seasonal, trend and irregular
components using loess) with Lattice, like the base graphics function
plot.stl
.
## S3 method for class 'stl' xyplot(x, data = NULL, outer = TRUE, layout = c(1, 4), strip = FALSE, strip.left = TRUE, as.table = TRUE, ylab = "", between = list(y = 0.5), panel = function(..., type) { if (packet.number() == 4) type <- "h" panel.xyplot(..., type = type) }, ...)
x |
an |
data |
ignored. |
outer, layout, strip, strip.left |
passed to |
as.table, ylab, between, panel, ... |
passed to |
Unless strip.left
is passed in explicitly, a custom strip will
be drawn, where shaded bars are comparable across panels (representing
the same data range).
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.sarkar@r-project.org
stl
,
xyplot.ts
,
xyplot
## example from ?stl xyplot(stl(log(co2), s.window=21), main = "STL decomposition of CO2 data") ## alternative display data(biocAccess) xyplot(stl(ts(biocAccess$counts[1:(24 * 30)], frequency = 24), "periodic"), strip.left = "strip.default") resizePanels() ## two different spans xyplot(stl(nottem, s.window = 4)) + as.layer(xyplot(stl(nottem, s.window = "periodic")), style = 2) ## components superposed xyplot(stl(nottem, s.window = 4), superpose=TRUE, screens = list(data = "trend", trend = "trend", "residuals"), strip.left = TRUE, layout = c(1,2))
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