R Under development (unstable) (2025-10-25 r88970 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(egor)
Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:testthat':

    matches

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tibble
> library(dplyr)
> 
> test_check("egor")
5 Egos/ Ego Networks 
85 Alters 
Min. Netsize 14 
Average Netsize 16.5 
Max. Netsize 22 
Average Density 0.493245382068911 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Sampling variables:
  - ids: `1` 
  - weights: sampling_weight 
Data variables: 
  - .egoID (dbl), sex (chr), age (fct), age.years (int), country (chr), income
    (dbl), sampling_weight (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
5 Egos/ Ego Networks 
85 Alters 
Min. Netsize 14 
Average Netsize 16.5 
Max. Netsize 22 
Average Density 0.493245382068911 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Sampling variables:
  - ids: `1` 
  - weights: sampling_weight 
Data variables: 
  - .egoID (dbl), sex (chr), age (fct), age.years (int), country (chr), income
    (dbl), sampling_weight (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
3 Egos/ Ego Networks 
19 Alters 
Min. Netsize 4 
Average Netsize 6.33333333333333 
Max. Netsize 8 
Average Density 0.488095238095238 
Alter survey design:
  Maximum nominations: Inf 
32 Egos/ Ego Networks 
384 Alters 
Min. Netsize 12 
Average Netsize 12 
Max. Netsize 12 
Average Density 0.5 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Data variables: 
  - .egoID (dbl), sex (fct), age (fct), age.years (int), country (chr), income
    (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
5 Egos/ Ego Networks 
16 Alters 
Min. Netsize 0 
Average Netsize 3.2 
Max. Netsize 4 
Average Density 1.33333333333333 
Alter survey design:
  Maximum nominations: Inf 
4 Egos/ Ego Networks 
16 Alters 
Min. Netsize 4 
Average Netsize 4 
Max. Netsize 4 
Average Density 1.33333333333333 
Alter survey design:
  Maximum nominations: Inf 
Sorting data by egoID: Transforming alters data to long format: Transforming wide dyad data to edgelist: Sorting data by egoID: Transforming alters data to long format: Transforming wide dyad data to edgelist: Filtering out empty alter entries using provided network size values: 32 Egos/ Ego Networks 
384 Alters 
Min. Netsize 12 
Average Netsize 12 
Max. Netsize 12 
Average Density 0.5 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Data variables: 
  - .egoID (dbl), sex (fct), age (fct), age.years (int), country (chr), income
    (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
32 Egos/ Ego Networks 
372 Alters 
Min. Netsize 0 
Average Netsize 11.625 
Max. Netsize 12 
Average Density 0.5 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Data variables: 
  - .egoID (dbl), sex (fct), age (fct), age.years (int), country (chr), income
    (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
2 Egos/ Ego Networks 
5 Alters 
Min. Netsize 2 
Average Netsize 2.33333333333333 
Max. Netsize 3 
Average Density 0 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Sampling variables:
  - ids: `1` 
  - probs: weight 
Data variables: 
  - .egoID (chr), weight (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
5 Egos/ Ego Networks 
14 Alters 
Min. Netsize 2 
Average Netsize 2.59850374064838 
Max. Netsize 5 
Average Density 0.653366583541147 

Ego sampling design:
Independent Sampling design (with replacement)
Called via srvyr
Sampling variables:
  - ids: `1` 
  - probs: w 
Data variables: 
  - .egoID (dbl), sex (chr), age (fct), age.years (int), country (chr), income
    (dbl), w (dbl), .netsize (dbl)
Alter survey design:
  Maximum nominations: Inf 
Sorting data by egoID: Transforming alters data to long format: Transforming wide dyad data to edgelist: [ FAIL 0 | WARN 0 | SKIP 15 | PASS 228 ]

══ Skipped tests (15) ══════════════════════════════════════════════════════════
• On CRAN (15): 'test-ei.R:3:11', 'test-ei.R:72:13', 'test-ei.R:85:13',
  'test-ei.R:95:13', 'test-ei.R:125:13', 'test-ei.R:141:3', 'test-ei.R:150:3',
  'test-ei.R:164:3', 'test-onefile_to_egor.R:5:3',
  'test-onefile_to_egor.R:35:3', 'test-onefile_to_egor.R:67:3',
  'test-twofiles_to_egor.R:2:3', 'test-twofiles_to_egor.R:34:3',
  'test-twofiles_to_egor.R:65:3', 'test-twofiles_to_egor.R:94:13'

[ FAIL 0 | WARN 0 | SKIP 15 | PASS 228 ]
> 
> proc.time()
   user  system elapsed 
  38.64    0.92   39.54