autom_class: autom_class

In MicroWeaR/Micro2: Tool to Examine and Score Microwear Scars in a Semi-Automatic Way

autom_class

Description

This function classifies into different categories the recorded marks using the samp.traces function.

Usage

autom_class(big_matrix, image.ico, Pit_Scr = 4, Sm.Lg_Pit = 8,
  Fi.Co_Scr = 3, cexp = NULL)

Arguments

big_matrix	matrix: a matrix with stored the coordinates (4) of the microwears
image.ico	Ico.object: class Ico image
Pit_Scr	numeric: parameter to discriminate between scratches and pits. If the ratio length/windth is minor or equal to the set value (4 for example) a scar is classified as pit; on the contrary as scratch
Sm.Lg_Pit	numeric: parameter to classify a pit as small or large width based (in micron)
Fi.Co_Scr	numeric: parameter to classify a scratch as course or fine width based (in micron)
cexp	numeric: size of points

Value

Type character vector: types of the classified scars

Matrix matrix: length and width (in micron) of each scar

Author(s)

Antonio Profico, Flavia Strani, Pasquale Raia, Daniel DeMiguel

Examples

## Not run: 
# A. brevirostris case-study
#load sampled scars
data("A_br_sam")
#load working area
data("A_br_war")
class<-autom_class(A_br_sam,A_br_war$image)
# C. elaphus eostephanoceros case-study
#load sampled scars
data("C_el_sam")
#load working area
data("C_el_war")
class<-autom_class(C_el_sam,C_el_war$image)

## End(Not run)

MicroWeaR/Micro2 documentation built on July 4, 2023, 12:02 a.m.