View source: R/math_stat_analysis.R
| wbt_image_regression | R Documentation | 
Performs image regression analysis on two input images.
wbt_image_regression(
  input1,
  input2,
  output,
  out_residuals = NULL,
  standardize = FALSE,
  scattergram = FALSE,
  num_samples = 1000,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)
| input1 | Input raster file (independent variable, X). | 
| input2 | Input raster file (dependent variable, Y). | 
| output | Output HTML file for regression summary report. | 
| out_residuals | Output raster regression residual file. | 
| standardize | Optional flag indicating whether to standardize the residuals map. | 
| scattergram | Optional flag indicating whether to output a scattergram. | 
| num_samples | Number of samples used to create scattergram. | 
| 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  | 
Returns the tool text outputs.
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