Principal components analysis and various outputs from environmental data — make_env_pca • envClean

Principal components analysis and various outputs from environmental data

Usage

make_env_pca(
  env_df,
  context = "cell",
  axes = 3,
  cuts = 20,
  int_style = "quantile",
  out_file = NULL
)

Arguments

env_df: Dataframe containing 'cell' and environmental data.
context: Character. Name of columns defining context.
axes: Numeric. Number of axes to return.
cuts: Numeric. Number of cuts along pc1. pcn gets cuts/n cuts.
int_style: Character. Method passed to classInt::classIntervals.
out_file: Character. Optional path to save output.

Value

List of pca outputs.