classify_site function

Classify inventory data based on site index

Classify inventory data based on site index

Use the site variable to classify a forest management data.

classify_site(df, site, nc = 3, plot, .groups = NA)

Arguments

  • df: A data frame.
  • site: Quoted name for the site variable.
  • nc: number of categories used to classify the data. If 3, a additional column will be created with levels Lower, Middle and Upper, referencing the 3 categories. If not, only numbers will be used to differentiate the categories. Default: 3.
  • plot: Quoted name for the plot variable.
  • .groups: Optional argument. Quoted name(s) of grouping variables used to fit multiple regressions, one for each level of the provided variable(s). Default NA.

Returns

A data frame classified based on the site index.

Examples

library(forestmangr) data("exfm17") head(exfm17) # Classify data into 3 classes: ex_class <- classify_site(exfm17, "S", 3, "plot") head(ex_class ,15)

See Also

other sampling functions: fit_clutter for fitting Clutter's Growth and Yield, and est_clutter for estimating Clutter's Growth and Yield model variables.

Author(s)

Sollano Rabelo Braga sollanorb@gmail.com

  • Maintainer: Sollano Rabelo Braga
  • License: MIT + file LICENSE
  • Last published: 2024-12-01