R version 4.6.0 alpha (2026-03-31 r89747 ucrt)
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(ukbflow)
> 
> test_check("ukbflow")
v Logged in to DNAnexus as: "TestUser"
v Logged out from DNAnexus.
v Project selected: "project-XXXXXXXXXXXX"
v Renamed 1 column.
* date_of_attending_assessment_centre_i0
v derive_hes (t2d): 26 cases, 26 with date.
v derive_icd10 (t2d): 26 cases across 1 source, 26 with date.
v derive_age: 1 event processed.
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e807f86bef.csv': 3 rows, 2 columns.
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e805ed45362.csv': 5 rows, 3 columns.
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e804411ea0.csv': 5 rows, 3 columns.
v No NA values.
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e804501354c.csv': 3 rows, 3 columns.
v No NA values.
v No duplicate SNPs.
v All SNP IDs match rs[0-9]+ format.
v All effect alleles are A/T/C/G.
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e804708dd2.csv': 5 rows, 3 columns.
v No NA values.
v No duplicate SNPs.
v All effect alleles are A/T/C/G.
Beta summary:
  Range : -0.2 to 0.3
  Mean |beta|: 0.16
  Positive : 3 (60%)
  Negative : 2 (40%)
  Zero : 0
v Weights file passed checks: 5 SNPs ready for UKB RAP.
v Saved: 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e806aa4d3b.txt'
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e801fb972f7.csv': 5 rows, 3 columns.
v No NA values.
v No duplicate SNPs.
v All SNP IDs match rs[0-9]+ format.
Beta summary:
  Range : -0.2 to 0.3
  Mean |beta|: 0.16
  Positive : 3 (60%)
  Negative : 2 (40%)
  Zero : 0
v Weights file passed checks: 5 SNPs ready for UKB RAP.
v Saved: 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e803c0c981.txt'
Read 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e802f1a7a65.csv': 5 rows, 3 columns.
v No NA values.
v No duplicate SNPs.
v All SNP IDs match rs[0-9]+ format.
v All effect alleles are A/T/C/G.
Beta summary:
  Range : -0.2 to 0.3
  Mean |beta|: 0.16
  Positive : 3 (60%)
  Negative : 2 (40%)
  Zero : 0
v Weights file passed checks: 5 SNPs ready for UKB RAP.
v Saved: 'D:\temp\2026_04_01_12_35_16_4728\Rtmp65WR3l\file5e8065a27341.txt'
Auto-detected 1 GRS column(s): "GRS_flat"
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
v GRS_b_z -> GRS_b_z_z  [mean=-0.0275, sd=0.9886]
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
v GRS_a_z -> GRS_a_z_z  [mean=-0.0218, sd=0.9873]
Auto-detected 2 GRS column(s): "GRS_a_z" and "GRS_b_z"
-- Creating GRS groups ---------------------------------------------------------
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_quad ----------------------------------------------------
GRS_a_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_tri -----------------------------------------------------
GRS_a_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Source: GRS_b_z -------------------------------------------------------------
GRS_b_z: mean=-0.03, median=-0.06, sd=0.99, Q1=-0.64, Q3=0.67, NA=0% (n=0)
-- New column: GRS_b_z_quad ----------------------------------------------------
GRS_b_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_b_z -------------------------------------------------------------
GRS_b_z: mean=-0.03, median=-0.06, sd=0.99, Q1=-0.64, Q3=0.67, NA=0% (n=0)
-- New column: GRS_b_z_tri -----------------------------------------------------
GRS_b_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Effect per SD (OR) ----------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 2 exposures x 1 model = 2 logistic regressions
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z --

v   Unadjusted | GRS_a_z: OR 1.10 (0.81-1.49), p = 0.556

-- GRS_b_z --

v   Unadjusted | GRS_b_z: OR 0.86 (0.63-1.17), p = 0.328
v Done: 2 result rows across 2 exposures and 1 model.
-- High vs Low -----------------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 2 exposures x 1 model = 2 logistic regressions
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z_tri --

v   Unadjusted | GRS_a_z_triMid: OR 1.00 (0.46-2.19), p = 1
v   Unadjusted | GRS_a_z_triHigh: OR 1.25 (0.49-3.16), p = 0.637

-- GRS_b_z_tri --

v   Unadjusted | GRS_b_z_triMid: OR 0.51 (0.25-1.04), p = 0.063
v   Unadjusted | GRS_b_z_triHigh: OR 0.67 (0.28-1.62), p = 0.377
v Done: 4 result rows across 2 exposures and 1 model.
-- Trend test ------------------------------------------------------------------
! Exposures GRS_a_z_quad and GRS_b_z_quad are not an ordered factor -- levels will be scored 0, 1, 2, ... (equal spacing assumed).
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_trend -----------------------------------------------------------------
i 2 exposures x 1 model (categorical + trend model per combination)

-- GRS_a_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_a_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_a_z_quadQ2: OR 0.90 (0.37-2.20), p = 0.821
v   Unadjusted | GRS_a_z_quadQ3: OR 1.54 (0.68-3.50), p = 0.303
v   Unadjusted | GRS_a_z_quadQ4: OR 1.00 (0.42-2.39), p = 1
i   Unadjusted | trend: OR_per_score = 1.06 (0.81-1.38), p_trend = 0.682

-- GRS_b_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_b_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_b_z_quadQ2: OR 0.49 (0.21-1.14), p = 0.0976
v   Unadjusted | GRS_b_z_quadQ3: OR 0.66 (0.30-1.48), p = 0.315
v   Unadjusted | GRS_b_z_quadQ4: OR 0.54 (0.24-1.25), p = 0.151
i   Unadjusted | trend: OR_per_score = 0.84 (0.65-1.11), p_trend = 0.221
v Done: 8 result rows across 2 exposures and 1 model.
-- AUC -------------------------------------------------------------------------
v Validation complete.
-- Creating GRS groups ---------------------------------------------------------
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_quad ----------------------------------------------------
GRS_a_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_tri -----------------------------------------------------
GRS_a_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Source: GRS_b_z -------------------------------------------------------------
GRS_b_z: mean=-0.03, median=-0.06, sd=0.99, Q1=-0.64, Q3=0.67, NA=0% (n=0)
-- New column: GRS_b_z_quad ----------------------------------------------------
GRS_b_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_b_z -------------------------------------------------------------
GRS_b_z: mean=-0.03, median=-0.06, sd=0.99, Q1=-0.64, Q3=0.67, NA=0% (n=0)
-- New column: GRS_b_z_tri -----------------------------------------------------
GRS_b_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Effect per SD (OR) ----------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 2 exposures x 1 model = 2 logistic regressions
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z --

v   Unadjusted | GRS_a_z: OR 1.10 (0.81-1.49), p = 0.556

-- GRS_b_z --

v   Unadjusted | GRS_b_z: OR 0.86 (0.63-1.17), p = 0.328
v Done: 2 result rows across 2 exposures and 1 model.
-- High vs Low -----------------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 2 exposures x 1 model = 2 logistic regressions
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z_tri --

v   Unadjusted | GRS_a_z_triMid: OR 1.00 (0.46-2.19), p = 1
v   Unadjusted | GRS_a_z_triHigh: OR 1.25 (0.49-3.16), p = 0.637

-- GRS_b_z_tri --

v   Unadjusted | GRS_b_z_triMid: OR 0.51 (0.25-1.04), p = 0.063
v   Unadjusted | GRS_b_z_triHigh: OR 0.67 (0.28-1.62), p = 0.377
v Done: 4 result rows across 2 exposures and 1 model.
-- Trend test ------------------------------------------------------------------
! Exposures GRS_a_z_quad and GRS_b_z_quad are not an ordered factor -- levels will be scored 0, 1, 2, ... (equal spacing assumed).
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_trend -----------------------------------------------------------------
i 2 exposures x 1 model (categorical + trend model per combination)

-- GRS_a_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_a_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_a_z_quadQ2: OR 0.90 (0.37-2.20), p = 0.821
v   Unadjusted | GRS_a_z_quadQ3: OR 1.54 (0.68-3.50), p = 0.303
v   Unadjusted | GRS_a_z_quadQ4: OR 1.00 (0.42-2.39), p = 1
i   Unadjusted | trend: OR_per_score = 1.06 (0.81-1.38), p_trend = 0.682

-- GRS_b_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_b_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_b_z_quadQ2: OR 0.49 (0.21-1.14), p = 0.0976
v   Unadjusted | GRS_b_z_quadQ3: OR 0.66 (0.30-1.48), p = 0.315
v   Unadjusted | GRS_b_z_quadQ4: OR 0.54 (0.24-1.25), p = 0.151
i   Unadjusted | trend: OR_per_score = 0.84 (0.65-1.11), p_trend = 0.221
v Done: 8 result rows across 2 exposures and 1 model.
-- AUC -------------------------------------------------------------------------
v Validation complete.
-- Creating GRS groups ---------------------------------------------------------
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_quad ----------------------------------------------------
GRS_a_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_tri -----------------------------------------------------
GRS_a_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Effect per SD (OR) ----------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 1 exposure x 1 model = 1 logistic regression
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z --

v   Unadjusted | GRS_a_z: OR 1.10 (0.81-1.49), p = 0.556
v Done: 1 result row across 1 exposure and 1 model.
-- High vs Low -----------------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 1 exposure x 1 model = 1 logistic regression
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z_tri --

v   Unadjusted | GRS_a_z_triMid: OR 1.00 (0.46-2.19), p = 1
v   Unadjusted | GRS_a_z_triHigh: OR 1.25 (0.49-3.16), p = 0.637
v Done: 2 result rows across 1 exposure and 1 model.
-- Trend test ------------------------------------------------------------------
! Exposure GRS_a_z_quad is not an ordered factor -- levels will be scored 0, 1, 2, ... (equal spacing assumed).
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_trend -----------------------------------------------------------------
i 1 exposure x 1 model (categorical + trend model per combination)

-- GRS_a_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_a_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_a_z_quadQ2: OR 0.90 (0.37-2.20), p = 0.821
v   Unadjusted | GRS_a_z_quadQ3: OR 1.54 (0.68-3.50), p = 0.303
v   Unadjusted | GRS_a_z_quadQ4: OR 1.00 (0.42-2.39), p = 1
i   Unadjusted | trend: OR_per_score = 1.06 (0.81-1.38), p_trend = 0.682
v Done: 4 result rows across 1 exposure and 1 model.
-- AUC -------------------------------------------------------------------------
v Validation complete.
-- Creating GRS groups ---------------------------------------------------------
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_quad ----------------------------------------------------
GRS_a_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_tri -----------------------------------------------------
GRS_a_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Effect per SD (HR) ----------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_coxph -----------------------------------------------------------------
i 1 exposure x 1 model = 1 Cox regression
i Input cohort: 300 participants (n/n_events/person_years reflect each model's actual analysis set)

-- GRS_a_z --

v   Unadjusted | GRS_a_z: HR 1.12 (0.83-1.51), p = 0.465
v Done: 1 result row across 1 exposure and 1 model.
-- High vs Low -----------------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_coxph -----------------------------------------------------------------
i 1 exposure x 1 model = 1 Cox regression
i Input cohort: 300 participants (n/n_events/person_years reflect each model's actual analysis set)

-- GRS_a_z_tri --

v   Unadjusted | GRS_a_z_triMid: HR 0.82 (0.40-1.68), p = 0.585
v   Unadjusted | GRS_a_z_triHigh: HR 1.19 (0.51-2.76), p = 0.685
v Done: 2 result rows across 1 exposure and 1 model.
-- Trend test ------------------------------------------------------------------
! Exposure GRS_a_z_quad is not an ordered factor -- levels will be scored 0, 1, 2, ... (equal spacing assumed).
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_trend -----------------------------------------------------------------
i 1 exposure x 1 model (categorical + trend model per combination)

-- GRS_a_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_a_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_a_z_quadQ2: HR 0.64 (0.28-1.47), p = 0.294
v   Unadjusted | GRS_a_z_quadQ3: HR 1.10 (0.52-2.31), p = 0.805
v   Unadjusted | GRS_a_z_quadQ4: HR 1.05 (0.47-2.34), p = 0.905
i   Unadjusted | trend: HR_per_score = 1.08 (0.83-1.41), p_trend = 0.546
v Done: 4 result rows across 1 exposure and 1 model.
-- C-index ---------------------------------------------------------------------
v Validation complete.
-- Creating GRS groups ---------------------------------------------------------
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_quad ----------------------------------------------------
GRS_a_z_quad [4 levels]
Q1: n=75 (25%)
Q2: n=75 (25%)
Q3: n=75 (25%)
Q4: n=75 (25%)
<NA>: n=0 (0%)
-- Source: GRS_a_z -------------------------------------------------------------
GRS_a_z: mean=-0.02, median=-0.02, sd=0.99, Q1=-0.66, Q3=0.64, NA=0% (n=0)
-- New column: GRS_a_z_tri -----------------------------------------------------
GRS_a_z_tri [3 levels]
Low: n=60 (20%)
Mid: n=180 (60%)
High: n=60 (20%)
<NA>: n=0 (0%)
-- Effect per SD (OR) ----------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 1 exposure x 1 model = 1 logistic regression
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z --

v   Unadjusted | GRS_a_z: OR 1.10 (0.81-1.49), p = 0.556
v Done: 1 result row across 1 exposure and 1 model.
-- High vs Low -----------------------------------------------------------------
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_logistic --------------------------------------------------------------
i 1 exposure x 1 model = 1 logistic regression
i Input cohort: 300 participants | CI method: wald (n/n_cases reflect each model's actual analysis set)

-- GRS_a_z_tri --

v   Unadjusted | GRS_a_z_triMid: OR 1.00 (0.46-2.19), p = 1
v   Unadjusted | GRS_a_z_triHigh: OR 1.25 (0.49-3.16), p = 0.637
v Done: 2 result rows across 1 exposure and 1 model.
-- Trend test ------------------------------------------------------------------
! Exposure GRS_a_z_quad is not an ordered factor -- levels will be scored 0, 1, 2, ... (equal spacing assumed).
! Age and sex adjusted model skipped: age column (UKB field 21022) not found and sex column (UKB field 31) not found.

-- assoc_trend -----------------------------------------------------------------
i 1 exposure x 1 model (categorical + trend model per combination)

-- GRS_a_z_quad --

i Levels: Q1 -> Q2 -> Q3 -> Q4 | Scores: 0, 1, 2, 3
i   Unadjusted | GRS_a_z_quadQ1: 1.00 (ref)
v   Unadjusted | GRS_a_z_quadQ2: OR 0.90 (0.37-2.20), p = 0.821
v   Unadjusted | GRS_a_z_quadQ3: OR 1.54 (0.68-3.50), p = 0.303
v   Unadjusted | GRS_a_z_quadQ4: OR 1.00 (0.42-2.39), p = 1
i   Unadjusted | trend: OR_per_score = 1.06 (0.81-1.38), p_trend = 0.682
v Done: 4 result rows across 1 exposure and 1 model.
-- AUC -------------------------------------------------------------------------
v Validation complete.
-- Factor ----------------------------------------------------------------------
p54_i0 [10 levels]
Birmingham: n=207 (10.3%)
Bristol: n=191 (9.6%)
Edinburgh: n=204 (10.2%)
Leeds: n=213 (10.7%)
Liverpool: n=193 (9.7%)
Manchester: n=194 (9.7%)
Newcastle: n=218 (10.9%)
Nottingham: n=192 (9.6%)
Oxford: n=203 (10.2%)
Sheffield: n=185 (9.2%)
<NA>: n=0 (0%)
[ FAIL 0 | WARN 0 | SKIP 50 | PASS 1289 ]

══ Skipped tests (50) ══════════════════════════════════════════════════════════
• On CRAN (49): 'test-integration-auth.R:13:3', 'test-integration-auth.R:23:3',
  'test-integration-auth.R:35:3', 'test-integration-auth.R:46:3',
  'test-integration-auth.R:53:3', 'test-integration-auth.R:62:3',
  'test-integration-decode.R:29:3', 'test-integration-decode.R:43:3',
  'test-integration-decode.R:63:3', 'test-integration-decode.R:81:3',
  'test-integration-decode.R:106:3', 'test-integration-decode.R:115:3',
  'test-integration-decode.R:125:3', 'test-integration-decode.R:135:3',
  'test-integration-decode.R:144:3', 'test-integration-decode.R:154:3',
  'test-integration-extract.R:13:3', 'test-integration-extract.R:20:3',
  'test-integration-extract.R:26:3', 'test-integration-extract.R:32:3',
  'test-integration-extract.R:38:3', 'test-integration-extract.R:45:3',
  'test-integration-extract.R:61:3', 'test-integration-extract.R:68:3',
  'test-integration-extract.R:77:3', 'test-integration-extract.R:83:3',
  'test-integration-fetch.R:13:3', 'test-integration-fetch.R:20:3',
  'test-integration-fetch.R:26:3', 'test-integration-fetch.R:32:3',
  'test-integration-fetch.R:42:3', 'test-integration-fetch.R:48:3',
  'test-integration-fetch.R:59:3', 'test-integration-fetch.R:68:3',
  'test-integration-job.R:19:3', 'test-integration-job.R:26:3',
  'test-integration-job.R:32:3', 'test-integration-job.R:38:3',
  'test-integration-job.R:45:3', 'test-integration-job.R:51:3',
  'test-integration-job.R:66:3', 'test-integration-job.R:72:3',
  'test-integration-job.R:79:3', 'test-integration-job.R:85:3',
  'test-integration-job.R:97:3', 'test-integration-job.R:103:3',
  'test-integration-job.R:125:3', 'test-plot.R:337:3', 'test-plot.R:347:3'
• job_path() requires real RAP environment with valid job ID (1):
  'test-integration-job.R:116:3'

[ FAIL 0 | WARN 0 | SKIP 50 | PASS 1289 ]
> 
> proc.time()
   user  system elapsed 
 100.17   11.79  115.78