These work like dplyr's bind_cols() and bind_rows(). The first argument has to be an egor object. Additional rows/columns are added bottom/RHS of the active data level (ego, alter, aatie).
append_rows(.egor, ..., .id = NULL)
append_cols(.egor, ...)An egor object.
Data frames to combine.
Data frame identifier.
egor object containing the additional rows/ columns on the active level.
e <- make_egor(12, 15)
# Adding a column to the ego level
additional_ego_columns <-
tibble(x = sample(1:3, 12, replace = TRUE))
append_cols(e, additional_ego_columns)
#> # EGO data (active): 12 × 7
#> .egoID sex age age.years country income x
#> * <dbl> <chr> <fct> <int> <chr> <dbl> <int>
#> 1 1 m 36 - 45 45 Australia 41610 3
#> 2 2 m 66 - 100 100 Germany 19710 1
#> 3 3 m 0 - 17 10 Germany 54750 2
#> 4 4 w 66 - 100 68 Germany 46355 1
#> 5 5 w 66 - 100 89 Germany 53655 3
#> # … with 7 more rows
#> # ALTER data: 110 × 7
#> .altID .egoID sex age age.years country income
#> * <int> <dbl> <chr> <fct> <int> <chr> <dbl>
#> 1 1 1 m 46 - 55 46 USA 50005
#> 2 2 1 w 66 - 100 71 Germany 69715
#> 3 3 1 m 66 - 100 66 Germany 49640
#> # … with 107 more rows
#> # AATIE data: 251 × 4
#> .egoID .srcID .tgtID weight
#> * <int> <int> <int> <dbl>
#> 1 9 5 6 1
#> 2 9 10 15 1
#> 3 8 4 6 0.333
#> # … with 248 more rows
# Adding rows to the ego and alter level
additional_ego_rows <-
list(
.egoID = 13,
sex = "w",
age = factor("56 - 65"),
age.years = 60,
country = "Australia"
) %>%
as_tibble()
additional_alter_rows <-
list(
.altID = 1:5,
.egoID = rep(13, 5),
sex = sample(c("f", "m"), 5, replace = TRUE)
) %>%
as_tibble()
append_rows(e, additional_ego_rows) %>%
activate(alter) %>%
append_rows(additional_alter_rows)
#> # EGO data: 13 × 6
#> .egoID sex age age.years country income
#> * <dbl> <chr> <fct> <dbl> <chr> <dbl>
#> 1 1 m 36 - 45 45 Australia 41610
#> 2 2 m 66 - 100 100 Germany 19710
#> 3 3 m 0 - 17 10 Germany 54750
#> # … with 10 more rows
#> # ALTER data (active): 115 × 7
#> .altID .egoID sex age age.years country income
#> * <int> <dbl> <chr> <fct> <int> <chr> <dbl>
#> 1 1 1 m 46 - 55 46 USA 50005
#> 2 2 1 w 66 - 100 71 Germany 69715
#> 3 3 1 m 66 - 100 66 Germany 49640
#> 4 4 1 w 66 - 100 93 USA 4745
#> 5 5 1 m 26 - 35 30 Poland 10220
#> # … with 110 more rows
#> # AATIE data: 251 × 4
#> .egoID .srcID .tgtID weight
#> * <int> <int> <int> <dbl>
#> 1 9 5 6 1
#> 2 9 10 15 1
#> 3 8 4 6 0.333
#> # … with 248 more rows