Functions to get attributes of BIOMOD_Modeling
outputs
get_predictions(obj, ...)
get_formal_data(obj, ...)
get_evaluations(obj, ...)
get_calib_lines(obj, ...)
get_variables_importance(obj, ...)
get_options(obj, ...)
get_built_models(obj, ...)
get_predictions: an array
(or a data.frame
) containing models predictions over calibrating and testing data (those used for evaluate models)
get_calib_lines: an array
(or a data.frame
) having the same dimension than the output of get_predictions() of logical values. All lines containing TRUE have been used to calibrate the model
get_evaluations: an array
, a data.frame
or a list
containing models evaluation scores
get_variables_importance: an array
containing models variables importance
get_options: a "BIOMOD.Model.Options"
reporting options used to build individual models
get_formal_data: a "BIOMOD.formated.data"
object containing data used for models building and evaluation, or a part of this object
get_built_models: a character vector giving the names of models successfully computed
"BIOMOD.models.out"
object
extra arguments (see details)
Wilfried Thuiller, Damien Georges
... available values :
get_evaluations
as.data.frame
:"logical", ( FALSE by default ) if TRUE, a standardized data.frame
will be produced else a 4-dimension array
is returned
get_calib_lines
get_predictions (for BIOMOD_Modeling() outputs only)
as.data.frame
:logical(default FALSE). If TRUE, models predictions will be returned as data.frame
rather than array
evaluation
:logical (default FALSE). If TRUE, model prediction over evaluation data will be returned
get_formal_data
subinfo
:character. Flag defining a specific information to extract from "BIOMOD.formated.data"
object. Supported values are:
NULL
: (default) the whole "BIOMOD.formated.data"
object is returned
'MinMax'
: All explanatory variables ranges returned
'resp.var'
: Response variables vector
returned
'eval.resp.var'
: Evaluation response variables vector
returned
'expl.var'
: Explanatory variables data.frame
returned
'eval.expl.var'
: Evaluation explanatory variables data.frame
returned
'expl.var.names'
: Explanatory variables names returned