get_ccr_peaks: Identify peaks of a cross correlation curve

In cmpsR: R Implementation of Congruent Matching Profile Segments Method

Identify peaks of a cross correlation curve

Description

Given a comparison profile and a segment, get_ccr_peaks computes the cross correlation curve and finds peaks of the curve.

Usage

get_ccr_peaks(comp, segments, seg_outlength, nseg = 1, npeaks = 5)

Arguments

comp	a nueric vector, vector of the bullet comparison profile
segments	list with basis segments and their corresponding indices in the original profile, obtianed by get_segs()
seg_outlength	length of the enlarged segment
nseg	integer. nseg = 3: the third segment in segments
npeaks	integer. the number of peaks to be identified.

Value

a list consisting of:

• ccr: the cross correlation curve

• adj_pos: indices of the curve

• peaks_pos: position of the identified peaks

• peaks_heights: the cross correlation value (height of the curve) of the peaks

Examples

data("bullets")
land2_3 <- bullets$sigs[bullets$bulletland == "2-3"][[1]]
land1_2 <- bullets$sigs[bullets$bulletland == "1-2"][[1]]
x <- land2_3$sig
y <- land1_2$sig

segments <- get_segs(x, len = 50)

# compute ccf based on y and segment 7 with scale 1, then identify 5 highest peaks
ccrpeaks <- get_ccr_peaks(y, segments = segments, seg_outlength = 50,
                          nseg = 7, npeaks = 5)

cmpsR documentation built on July 18, 2022, 9:07 a.m.