plot
visualize fits from an fG_ssm object
## S3 method for class 'fG_ssm'
plot(
x,
what = c("fitted", "predicted"),
type = 1,
outlier = TRUE,
pages = 0,
ncol = 1,
ask = TRUE,
pal = "Zissou1",
...
)x |
a |
what |
specify which location estimates to display on time-series plots: fitted or predicted |
type |
of plot to generate: 1-d time series for lon and lat separately (type = 1, default) or 2-d track plot (type = 2) |
outlier |
include outlier locations dropped by prefilter (outlier = TRUE, default) |
pages |
each individual is plotted on a separate page by default (pages = 0), multiple individuals can be combined on a single page; pages = 1 |
ncol |
number of columns to arrange plots when combining individuals on a single page (ignored if pages = 0) |
ask |
logical; if TRUE (default) user is asked for input before each plot is rendered. set to FALSE to return ggplot objects |
pal |
|
... |
additional arguments to be ignored |
a ggplot object with either: (type = 1) 1-d time series of fits to data, separated into x and y components (units = km) with prediction uncertainty ribbons (2 x SE); or (type = 2) 2-d fits to data (units = km)
## generate a fG_ssm fit object (call is for speed only) xs <- fit_ssm(sese2, spdf=FALSE, model = "rw", time.step=72, control = ssm_control(se = FALSE, verbose = 0)) plot(xs, what = "f", type = 1) plot(xs, what = "p", type = 2)
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