| monthplot {stats} | R Documentation |
These functions plot seasonal (or other) subseries of a time series. For each season (or other category), a time series is plotted.
monthplot(x, ...)
## S3 method for class 'stl':
monthplot(x, labels = NULL, ylab = choice, choice = "seasonal", ...)
## S3 method for class 'StructTS':
monthplot(x, labels = NULL, ylab = choice, choice = "sea", ...)
## S3 method for class 'ts':
monthplot(x, labels = NULL, times = time(x), phase = cycle(x),
ylab = deparse(substitute(x)), ...)
## Default S3 method:
monthplot(x, labels = 1:12,
ylab = deparse(substitute(x)),
times = 1:length(x),
phase = (times - 1)%%length(labels) + 1, base = mean,
axes = TRUE, type = c("l", "h"), box = TRUE,
add = FALSE, ...)
x |
Time series or related object. |
labels |
Labels to use for each “season”. |
ylab |
y label. |
times |
Time of each observation. |
phase |
Indicator for each “season”. |
base |
Function to use for reference line for subseries. |
choice |
Which series of an stl or StructTS object? |
... |
Arguments to be passed to the default method or graphical parameters. |
axes |
Should axes be drawn (ignored if add=TRUE)? |
type |
Type of plot. The default is to join the points with
lines, and "h" is for histogram-like vertical lines. |
box |
Should a box be drawn (ignored if add=TRUE? |
add |
Should thus just add on an existing plot. |
These functions extract subseries from a time series and plot them
all in one frame. The ts, stl, and
StructTS methods use the internally recorded frequency and
start and finish times to set the scale and the seasons. The default
method assumes observations come in groups of 12 (though this can be
changed).
If the labels are not given but the phase is given, then
the labels default to the unique values of the phase. If
both are given, then the phase values are assumed to be indices
into the labels array, i.e., they should be in the range
from 1 to length(labels).
These functions are executed for their side effect of drawing a seasonal subseries plot on the current graphical window.
Duncan Murdoch
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
## The CO2 data fit <- stl(log(co2), s.window = 20, t.window = 20) plot(fit) op <- par(mfrow = c(2,2)) monthplot(co2, ylab = "data", cex.axis = 0.8) monthplot(fit, choice = "seasonal", cex.axis = 0.8) monthplot(fit, choice = "trend", cex.axis = 0.8) monthplot(fit, choice = "remainder", type = "h", cex.axis = 0.8) par(op) ## The CO2 data, grouped quarterly quarter <- (cycle(co2) - 1) %/% 3 monthplot(co2, phase = quarter) ## see also JohnsonJohnson