coo_scalars: Calculates all scalar descriptors of shape

In Momocs: Morphometrics using R

Calculates all scalar descriptors of shape

Description

See examples for the full list.

Usage

coo_scalars(coo, rectilinearity = FALSE)

Arguments

coo	a matrix of (x; y) coordinates or any Coo
rectilinearity	logical whether to include rectilinearity using coo_rectilinearity

Details

coo_rectilinearity being not particularly optimized, it takes around 30 times more time to include it than to calculate all others and is thus not includedby default. by default.

Value

data_frame

See Also

Other coo_ descriptors: coo_angle_edges(), coo_angle_tangent(), coo_area(), coo_boundingbox(), coo_chull(), coo_circularity(), coo_convexity(), coo_eccentricity, coo_elongation(), coo_length(), coo_lw(), coo_rectangularity(), coo_rectilinearity(), coo_solidity(), coo_tac(), coo_width()

Examples

df <- bot %>% coo_scalars() # pass bot %>% coo_scalars(TRUE) if you want rectilinearity
colnames(df) %>% cat(sep="\n") # all scalars used

# a PCA on all these descriptors
TraCoe(coo_scalars(bot), fac=bot$fac) %>% PCA %>% plot_PCA(~type)

Momocs documentation built on Nov. 13, 2023, 5:07 p.m.