Calculate averageness

Source: R/calc_avg.R

Functions calculates averageness/distinctiveness as each template's distance from sample average

calc_avg(data)

Arguments

data

Facefuns object or three-dimensional array of dimensions p, k (2 or 3), and n (minimum = 2)

Value

Returns tibble with distinctiveness and averageness (reversed distinctiveness) scores

Examples

data(LondonSet_aligned)
data(mirroredlandmarks)
calc_avg(LondonSet_aligned)

#> # A tibble: 102 x 3
#>    id      dist    avg
#>    <chr>  <dbl>  <dbl>
#>  1 001   0.0879 0.0597
#>  2 002   0.0650 0.0826
#>  3 003   0.0608 0.0867
#>  4 004   0.0701 0.0774
#>  5 005   0.0700 0.0775
#>  6 006   0.0631 0.0844
#>  7 007   0.105  0.0425
#>  8 008   0.0777 0.0699
#>  9 009   0.0997 0.0479
#> 10 010   0.0671 0.0805
#> # … with 92 more rows