plot
visualize fits from an fG_mpm object
## S3 method for class 'fG_mpm' plot( x, y = NULL, se = FALSE, pages = 0, ncol = 1, ask = TRUE, pal = "Zissou1", rev = FALSE, ... )
x |
a |
y |
optional |
se |
logical (default = FALSE); should points be scaled by |
pages |
plots of all individuals on a single page (pages = 1; default) or each individual on a separate page (pages = 0) |
ncol |
number of columns to use for faceting. Default is ncol = 1 but this may be increased for multi-individual objects. 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 |
|
rev |
reverse colour palette (logical) |
... |
additional arguments to be ignored |
a ggplot object with either: 1-d time series of gamma_t estimates (if y not provided), with estimation uncertainty ribbons (95 % CI's);
or 2-d track plots (if y provided) coloured by gamma_t, with smaller points having greater uncertainty (size is proportional to SE^-2, if se = TRUE).
Plots can be rendered all on a single page (pages = 1) or on separate pages.
# plot mpm fit object # 1-d time-series plots plot(xm) ## 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)) # 2-d track plots by adding ssm fit object plot(xm, xs)
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