caretSDM (version 1.1.0.1)

predictors: Predictors Names Managing

Description

This function manage predictors names in sdm_area objects.

Usage

predictors(x)
# S3 method for sdm_area
predictors(x)
# S3 method for input_sdm
predictors(x)
set_predictor_names(x, new_names)
# S3 method for input_sdm
set_predictor_names(x, new_names)
# S3 method for sdm_area
set_predictor_names(x, new_names)
get_predictor_names(x)
# S3 method for sdm_area
get_predictor_names(x)
# S3 method for input_sdm
get_predictor_names(x)
test_variables_names(sa, scen)
set_variables_names(s1 = NULL, s2 = NULL, new_names = NULL)

Value

predictors and get_predictor_names return a character vector with predictors names. test_variables_names returns a logical informing if all variables are equal in both objects (TRUE) or not (FALSE). set_variables_names returns the s1 object with new names provided by s2 or new_names.

Arguments

x

A sdm_area or input_sdm object to get/set predictors names.

new_names

A character vector from size length(get_predictor_names(x))

sa

A sdm_area object.

scen

A stars object with scenarios.

s1

A stars object with scenarios.

s2

A stars object with scenarios or a sdm_area object.

Author

Luíz Fernando Esser ([e-mail]) https://luizfesser.wordpress.com

Details

This functions is available so users can modify predictors names to better represent them. Use carefully to avoid giving wrong names to the predictors. Useful to make sure the predictors names are equal the names in scenarios. test_variables_names Tests if variables in a stars object (scen argument) matches the given sdm_area object (sa argument). set_variables_names will set s1 object variables names as the s2 object variables names OR assign new names to it.

See Also

parana sdm_area

Examples

# Create sdm_area object:
sa <- sdm_area(parana, cell_size = 50000, crs = 6933)

# Include predictors:
sa <- add_predictors(sa, bioc)

# Check predictors' names:
get_predictor_names(sa)