Calculate custom compositional measures on an egor object

comp_ply() applies a function, that uses an alter attribute to calculate a compositional measurement, on all networks in an egor object and returns a numeric vector.

Usage

comp_ply(object, alt.attr, .f, ..., ego.attr = NULL, result.name = "result")

Arguments

object: An egor object.
alt.attr: A character naming the variable containing the alter-attribute.
.f: A function that returns a numeric.
...: Optional arguments to .f.
ego.attr: Optional character naming an ego attribute.
result.name: Optional character naming the result column.

Value

A tibble with the ego ID and a numeric result vector.

Details

When an ego attribute is used the .f is called like this: .f(alt.attr, ego.attr, ...). .f must return a single numeric value.

Author

Michał Bojanowski, michal2992@gmail.com

Till Krenz, egor@tillt.net

Examples

df <- make_egor(10, 32)
comp_ply(df, "age.years", sd, na.rm = TRUE)
#> # A tibble: 10 × 2
#>    .egoID result
#>     <dbl>  <dbl>
#>  1      1   33.8
#>  2      2   30.8
#>  3      3   30.8
#>  4      4   30.8
#>  5      5   31.7
#>  6      6   30.2
#>  7      7   30.3
#>  8      8   31.1
#>  9      9   30.6
#> 10     10   30.4