Usage
# S3 method for class 'dgp'
plot(
x,
x_test = NULL,
y_test = NULL,
dim = NULL,
method = NULL,
sample_size = 50,
style = 1,
min_max = TRUE,
normalize = TRUE,
color = "turbo",
type = "points",
verb = TRUE,
M = 50,
force = FALSE,
cores = 1,
...
)
# S3 method for class 'lgp'
plot(
x,
x_test = NULL,
y_test = NULL,
dim = NULL,
method = NULL,
sample_size = 50,
style = 1,
min_max = TRUE,
color = "turbo",
type = "points",
M = 50,
verb = TRUE,
force = FALSE,
cores = 1,
...
)
# S3 method for class 'gp'
plot(
x,
x_test = NULL,
y_test = NULL,
dim = NULL,
method = NULL,
sample_size = 50,
style = 1,
min_max = TRUE,
color = "turbo",
type = "points",
verb = TRUE,
M = 50,
force = FALSE,
cores = 1,
...
)
Arguments
- x
can be one of the following emulator classes:
the S3 class
gp
.the S3 class
dgp
.the S3 class
lgp
.
- x_test
same as that of
validate()
.- y_test
same as that of
validate()
.- dim
if
dim = NULL
, the index of an emulator's input within the design will be shown on the x-axis in validation plots. Otherwise,dim
indicates which dimension of an emulator's input will be shown on the x-axis in validation plots:If
x
is an instance of thegp
ofdgp
class,dim
is an integer.If
x
is an instance of thelgp
class created bylgp()
without specifying thestruc
argument in data frame form,dim
can be:an integer referring to the dimension of the global input to emulators in the first layer of a linked emulator system; or
a vector of three integers referring to the dimension (specified by the third integer) of the global input to an emulator (specified by the second integer) in a layer (specified by the first integer) that is not the first layer of a linked emulator system.
This option for linked (D)GP emulators is deprecated and will be removed in the next release.
If
x
is an instance of thelgp
class created bylgp()
with argumentstruc
in data frame form,dim
is an integer referring to the dimension of the global input to the linked emulator system.
This argument is only used when
style = 1
. Defaults toNULL
.- method
same as that of
validate()
.- sample_size
same as that of
validate()
.- style
either
1
or2
, indicating two different plotting styles for validation.- min_max
a bool indicating if min-max normalization will be used to scale the testing output, RMSE, predictive mean and std from the emulator. Defaults to
TRUE
. This argument is not applicable to DGP emulators with categorical likelihoods.- normalize
a bool indicating if normalization will be used to scale the counts in validation plots of DGP emulators with categorical likelihoods when
style = 2
. Defaults toTRUE
.- color
a character string indicating the color map to use when
style = 2
:'magma'
(or'A'
)'inferno'
(or'B'
)'plasma'
(or 'C
')'viridis'
(or'D'
)'cividis'
(or'E'
)'rocket'
(or'F'
)'mako'
(or'G'
)'turbo'
(or'H'
)
Defaults to
'turbo'
(or'H'
).- type
either
'line'
or'points
, indicating whether to draw testing data in the OOS validation plot as a line or individual points when the input of the emulator is one-dimensional andstyle = 1
. This argument is not applicable to DGP emulators with categorical likelihoods. Defaults to'points'
- verb
a bool indicating if trace information on plotting will be printed during execution. Defaults to
TRUE
.- M
same as that of
validate()
.- force
same as that of
validate()
.- cores
same as that of
validate()
.- ...
N/A.
Details
See further examples and tutorials at https://mingdeyu.github.io/dgpsi-R/.
Note
plot()
callsvalidate()
internally to obtain validation results for plotting. However,plot()
will not export the emulator object with validation results. Instead, it only returns the plotting object. For small-scale validations (i.e., small training or testing data points), direct execution ofplot()
works well. However, for moderate- to large-scale validation, it is recommended to first runvalidate()
to obtain and store validation results in the emulator object, and then supply the object toplot()
.plot()
checks the object'sloo
andoos
slots prior to callingvalidate()
and will not perform further calculation if the required information is already stored.plot()
will only use stored OOS validation ifx_test
andy_test
are identical to those used byvalidate()
to produce the data contained in the object'soos
slot, otherwiseplot()
will re-evaluate OOS validation before plotting.The returned patchwork::patchwork object contains the ggplot2::ggplot2 objects. One can modify the included individual ggplots by accessing them with double-bracket indexing. See https://patchwork.data-imaginist.com/ for further information.