Description Usage Arguments Details Value Examples
A wrapper for plotting emulator outputs, for two dimensions.
1 2 3 4 5 6 7 8 9 10 |
em |
A single |
var_name |
The output to plot: options are described above |
npoints |
The number of lattice points per input direction |
targets |
The observations. Required if plotting implausibility |
cb |
Should implausibility plots be coloured as colourblind friendly? |
params |
Which input parameters should be plotted? |
fixed_vals |
What should the fixed values of unplotted parameters be? |
... |
Any optional parameters for |
If the input space is greater than 2-dimensional, the mid-range values are chosen for any input beyond the plotted two, unless specific slice values are chosen (see below).
If a list of k emulators are given (e.g. those derived from emulator_from_data
or full_wave
), then the result is a kx3 grid of plots. If a single emulator is
given, then a single plot is returned.
Options for plotting variables are passed via the var
parameter: current choices are
'exp'
(Expectation), 'var'
(Variance), 'imp'
(Implausibility), and
'maximp'
(n-th maximum Implausibility). If either of the implausibilities are desired,
the targets
parameter must not be NULL
. Bear in mind that n-th maximum
implausibility is only permitted if a list of emulators is provided: the ...
parameters that can be passed to this function are for optional parameters that can be
passed to the nth_implausible
function (for example, which level of
maximum implausibility is wanted).
The two parameters params
and fixed_vals
determine the 2d slice that is plotted.
The argument params
should be a list containing exactly two elements: the names of the
two parameters to plot. The argument fixed_vals
can contain any number of remaining
parameters and the values to fix them at: this should be a named list of values. If any
parameters do not have specified values, their mid-range values are chosen.
A ggplot object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ranges <- list(aSI = c(0.1, 0.8), aIR = c(0, 0.5), aSR = c(0, 0.05))
targets <- list(
list(val = 281, sigma = 10.43),
list(val = 30, sigma = 11.16),
list(val = 689, sigma = 14.32)
)
outputs <- c('nS','nI','nR')
ems <- emulator_from_data(GillespieSIR, outputs, ranges, deltas=rep(0.1, 3), quadratic = TRUE)
t_ems <- purrr::map(seq_along(ems), ~ems[[.]]$adjust(GillespieSIR, outputs[[.]]))
names(t_ems) <- outputs
emulator_plot(t_ems$nI)
emulator_plot(t_ems, var_name = 'var', npoints = 10)
emulator_plot(t_ems, var_name = 'sd', npoints = 10)
emulator_plot(t_ems, var_name = 'imp', targets = targets, npoints = 10)
emulator_plot(t_ems, npoints = 10, fixed_vals = list(aSR = 0.01))
emulator_plot(t_ems, npoints = 10, params = c('aSI', 'aSR'), fixed_vals = list(aIR = 0.4))
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