Inverse principal component analysis
Source:R/math_stat_analysis.R
wbt_inverse_principal_component_analysis.Rd
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, seewbt_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, seewbt_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, seewbt_compress_rasters()
for details.- command_only
Return command that would be executed by
system()
rather than running tool. Default:FALSE
.