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Count attribute combinations of dyads in ego-centered networks

Source: R/count_dyads.R
count_dyads.Rd

count_dyads() counts the attribute combinations of alter-alter ties/ dyads in ego-centered networks. The results can be returned as a wide or long tibble/ data.frame.

Usage

count_dyads(
  object,
  alter_var_name,
  return_as = c("wide", "long"),
  prefix = NULL
)

Arguments

object

An egor object.

alter_var_name

Character, naming the alter variable to use as attribute.

return_as

Character, either "wide" (default) or "long".

prefix

Character, added in front of variables. Only used if return_as is "wide". If NULL (default) prefix is automatically generated.

Value

Wide or long tibble/ data.frame.

Examples

data(egor32)
count_dyads(object = egor32,
            alter_var_name = "country")
#> # A tibble: 32 × 11
#>    .egoID dy_cou_Australia_Austr…¹ dy_cou_Australia_Ger…² dy_cou_Australia_Pol…³
#>     <dbl>                    <int>                  <int>                  <int>
#>  1      1                        2                      6                      3
#>  2      2                        0                      2                      0
#>  3      3                        4                      6                      4
#>  4      4                        1                      1                      1
#>  5      5                        2                     11                      4
#>  6      6                        2                      1                      1
#>  7      7                        0                      5                      7
#>  8      8                        1                      7                      1
#>  9      9                        1                      6                      4
#> 10     10                        0                      3                      1
#> # ℹ 22 more rows
#> # ℹ abbreviated names: ¹​dy_cou_Australia_Australia, ²​dy_cou_Australia_Germany,
#> #   ³​dy_cou_Australia_Poland
#> # ℹ 7 more variables: dy_cou_Australia_USA <int>, dy_cou_Germany_Germany <int>,
#> #   dy_cou_Germany_Poland <int>, dy_cou_Germany_USA <int>,
#> #   dy_cou_Poland_USA <int>, dy_cou_USA_USA <int>, dy_cou_Poland_Poland <int>

# Return result as long tibble.
count_dyads(object = egor32,
            alter_var_name = "country",
            return_as = "long")
#> # A tibble: 278 × 3
#>    .egoID dyads                   n
#>     <dbl> <chr>               <int>
#>  1      1 Australia_Australia     2
#>  2      1 Australia_Germany       6
#>  3      1 Australia_Poland        3
#>  4      1 Australia_USA           3
#>  5      1 Germany_Germany         3
#>  6      1 Germany_Poland          4
#>  7      1 Germany_USA             6
#>  8      1 Poland_USA              2
#>  9      1 USA_USA                 3
#> 10      2 Australia_Germany       2
#> # ℹ 268 more rows