wbt_inverse_principal_component_analysis: Inverse principal component analysis

In whitebox: 'WhiteboxTools' R Frontend

Inverse principal component analysis

Description

This tool performs an inverse principal component analysis on a series of input component images.

Usage

wbt_inverse_principal_component_analysis(
  inputs,
  report,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

inputs	Name of the input PCA component images.
report	Name of the PCA report file (*.html).
wd	Changes the working directory. Default: NULL will use the value in WhiteboxTools settings, see wbt_wd() for details.
verbose_mode	Sets verbose mode. If verbose mode is FALSE, tools will not print output messages. Default: NULL will use the value in WhiteboxTools settings, see wbt_verbose() for details.
compress_rasters	Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: NULL will use the value in WhiteboxTools settings, see wbt_compress_rasters() for details.
command_only	Return command that would be executed by system() rather than running tool. Default: FALSE.

Value

Returns the tool text outputs.

whitebox documentation built on May 29, 2024, 1:21 a.m.