layers_correlation: Gives the Pearson correlation between layers

In samuelbosch/sdmpredictors: Species Distribution Modelling Predictor Datasets

Gives the Pearson correlation between layers

Description

layers_correlations returns the Pearson product-moment correlation coefficient (Pearson's r) for every combination of the give layercodes. The correlation between a terrestrial and a marine layer has been set to NA.

Usage

layers_correlation(layercodes = c())

Arguments

layercodes

character vector or dataframe. Codes of the layers, you want the correlation matrix of, as a character vector or a dataframe with a "layer_code" column. With the default empty vector the correlation between all layers is returned.

Value

A dataframe with the Pearson product-moment correlation coefficients.

See Also

list_layers layer_stats correlation_groups plot_correlation

Examples

# correlation of the first 10 layers
layers_correlation()[1:10,1:10]
layers_correlation(c("BO_calcite", "MS_bathy_5m"))
layers_correlation(c("BO_calcite", "MS_bathy_5m"))

samuelbosch/sdmpredictors documentation built on Aug. 24, 2023, 1:05 p.m.