visualize fits from an fG_mpm object
# S3 method for fG_mpm
plot(
x,
y = NULL,
se = FALSE,
pages = 0,
ncol = 1,
ask = TRUE,
pal = "Zissou1",
rev = FALSE,
...
)
a foieGras
mpm
fit object with class fG_mpm
optional ssm
fit object with class fG_ssm
corresponding to x. If absent, 1-d plots of gamma_t
time series are rendered
otherwise, 2-d track plots with locations coloured by gamma_t
are rendered.
logical (default = FALSE); should points be scaled by gamma_t
uncertainty (ignored if y is not supplied)
plots of all individuals on a single page (pages = 1; default) or each individual on a separate page (pages = 0)
number of columns to use for faceting. Default is ncol = 1 but this may be increased for multi-individual objects. Ignored if pages = 0
logical; if TRUE (default) user is asked for input before each plot is rendered. set to FALSE to return ggplot objects
hcl.colors
palette to use (default: "Zissou1"; type hcl.pals()
for options)
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.
# NOT RUN {
# plot mpm fit object
# 1-d time-series plots
plot(xm)
# 2-d track plots by adding ssm fit object
plot(xm, xs)
# }
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