calibrate_r2: Quantitative r2 calibration for Opn objects

In Momocs: Morphometrics using R

Quantitative r2 calibration for Opn objects

Description

Estimates the r2 to calibrate the degree for npoly and opoly methods. Also returns a plot

Usage

calibrate_r2()

calibrate_r2_opoly(
  Opn,
  id = 1:length(Opn),
  degree.range = 1:8,
  thresh = c(0.9, 0.95, 0.99, 0.999),
  plot = TRUE,
  ...
)

calibrate_r2_npoly(
  Opn,
  id = 1:length(Opn),
  degree.range = 1:8,
  thresh = c(0.9, 0.95, 0.99, 0.999),
  plot = TRUE,
  ...
)

Arguments

Opn	an Opn object
id	the ids of shapes on which to calculate r2 (all by default)
degree.range	on which to calculate r2
thresh	the threshold to return diagnostic
plot	logical whether to print the plot
...	useless here

Details

May be long, so you can estimate it on a sample either with id here, or one of sample_n or sample_frac

Value

a ggpot2 object

Note

Silent message and progress bars (if any) with options("verbose"=FALSE).

See Also

Other calibration: calibrate_deviations(), calibrate_harmonicpower(), calibrate_reconstructions

Examples

olea %>% slice(1:5) %>% #for the sake of spped
    calibrate_r2_opoly(degree.range=1:5, thresh=c(0.9, 0.99))

olea %>% slice(1:5) %>% #for the sake of spped
    calibrate_r2_npoly(degree.range=1:5, thresh=c(0.9, 0.99))

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