
stat_seas(mapping = NULL, data = NULL, geom = "line", position = "identity", show.legend = NA, inherit.aes = TRUE, x13_params = NULL, index.ref = NULL, index.basis = 100, frequency = NULL, start = NULL, ...)
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame.
, and
will be used as the layer data.
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders
.seas
ts()
seas
Other time.series.stats.for.ggplot2: stat_decomp
,
stat_index
, stat_rollapplyr
,
stat_stl
## Not run:
# ap_df <- tsdf(AirPassengers)
#
# # SEATS with defaults:
# ggplot(ap_df, aes(x = x, y = y)) +
# stat_seas()
#
# # X11 with no outlier treatment:
# ggplot(ap_df, aes(x = x, y = y)) +
# stat_seas(x13_params = list(x11 = "", outlier = NULL))
#
# # Multiple time series example:
# ggplot(ldeaths_df, aes(x = YearMon, y = deaths, colour = sex)) +
# geom_point() +
# facet_wrap(~sex) +
# stat_seas() +
# ggtitle("Seasonally adjusted lung deaths")
#
# # example use of index:
# ggplot(ap_df, aes(x = x, y = y)) +
# stat_seas(x13_params = list(x11 = "", outlier = NULL),
# index.ref = 1, index.basis = 1000) +
# labs(y = "Seasonally adjusted index\n(first observation = 1000)")
#
# # if the x value is not a decimal eg not created with time(your_ts_object),
# # you need to specify start and frequency by hand:
# ggplot(filter(nzbop, Account == "Current account"),
# aes(x = TimePeriod, y = Value)) +
# stat_seas(start = c(1971, 2), frequency = 12) +
# facet_wrap(~Category, scales = "free_y")
#
# ## End(Not run)
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