wbt_principal_component_analysis {whitebox} | R Documentation |
Principal component analysis
Description
Performs a principal component analysis (PCA) on a multi-spectral dataset.
Usage
wbt_principal_component_analysis(
inputs,
output,
num_comp = NULL,
standardized = FALSE,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
Arguments
inputs |
Input raster file paths, concatenated with |
output |
Output HTML report file. |
num_comp |
Number of component images to output; <= to num. input images. |
standardized |
Perform standardized PCA?. |
wd |
Changes the working directory. Default: |
verbose_mode |
Sets verbose mode. If verbose mode is |
compress_rasters |
Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: |
command_only |
Return command that would be executed by |
Value
Returns the tool text outputs.