select_predictors {caretSDM}R Documentation

Tidyverse methods for caretSDM objects

Description

Set of functions to facilitate the use of caretSDM through tidyverse grammatics.

Usage

select_predictors(x, ...)

## S3 method for class 'sdm_area'
select(.data, ...)

## S3 method for class 'input_sdm'
select(.data, ...)

## S3 method for class 'sdm_area'
mutate(.data, ...)

## S3 method for class 'input_sdm'
mutate(.data, ...)

## S3 method for class 'sdm_area'
filter(.data, ..., .by, .preserve)

## S3 method for class 'input_sdm'
filter(.data, ..., .by, .preserve)

## S3 method for class 'occurrences'
filter(.data, ..., .by, .preserve)

filter_species(x, spp = NULL, ...)

Arguments

x

sdm_area or input_sdm object.

...

character arguments to pass to the given function.

.data

Data to pass to tidyr function.

.by

See ?dplyr::filter.

.preserve

See ?dplyr::filter.

spp

Species to be filtered.

Value

The transformed sdm_area/input_sdm object.

Examples

# Create sdm_area object:
sa <- sdm_area(parana, cell_size = 25000, crs = 6933)

# Include predictors:
sa <- add_predictors(sa, bioc) |> select_predictors(c("bio1", "bio4", "bio12"))


[Package caretSDM version 1.1.0.1 Index]