Last updated on 2025-09-14 07:51:13 CEST.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| preventr | 1 | 9 | 3 |
Current CRAN status: ERROR: 1, NOTE: 9, OK: 3
Version: 0.11.0
Check: DESCRIPTION meta-information
Result: NOTE
Missing dependency on R >= 4.2.0 because package code uses the pipe
placeholder syntax added in R 4.2.0.
File(s) using such syntax:
‘estimate_risk.Rd’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [123s/162s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # 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(preventr)
>
> test_check("preventr")
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
this function will not reject extreme values for creatinine.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
this function will not reject extreme values for creatinine.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
this function will not reject extreme values for height and weight.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
this function will not reject extreme values for height and weight.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
although this function checks input validity it just returns `NA`
with no messaging if it finds a problem.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
Please note: This function was written primarily for internal package use
or as part of estimating risk with `estimate_risk()` or `est_risk()`.
Fitness for more general use has not been tested exhaustively.
For example, this function implements basic checks of input, but some of
the input handling is delegated to other processes that are invoked when
using these functions as aforementioned. To give a more concrete example,
although this function checks input validity it just returns `NA`
with no messaging if it finds a problem.
That said, the calculations have certainly been tested for accuracy, so
if you are confident you understand this caution and in the fidelity of
the input you passed to this function, you can proceed judiciously.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model.
Please check the following required variables:
Please check the following required variables:
* `age` entered as the invalid column name `trips_around_the_sun` in conjunction with `use_dat = TRUE`; as such, no values were passed for `age`, but must be between 30 and 79 for the PREVENT models
Please check the following required variables:
* `age` entered as the invalid column name `trips_around_the_sun` in conjunction with `use_dat = TRUE`; as such, no values were passed for `age`, but must be between 30 and 79 for the PREVENT models
Please check the following required variables:
* `age` entered as the invalid column name `trips_around_the_sun` in conjunction with `use_dat = TRUE`; as such, no values were passed for `age`, but must be between 30 and 79 for the PREVENT models
Please check the following required variables:
* `age` entered as the invalid column name `trips_around_the_sun` in conjunction with `use_dat = TRUE`; as such, no values were passed for `age`, but must be between 30 and 79 for the PREVENT models
Please check the following required variables:
Please check the following required variables:
* `sex` entered as the invalid column name `foo` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sex`, but must be one of "female", "f", "male", "m"
Please check the following required variables:
* `sex` entered as the invalid column name `foo` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sex`, but must be one of "female", "f", "male", "m"
Please check the following required variables:
* `sex` entered as the invalid column name `foo` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sex`, but must be one of "female", "f", "male", "m"
Please check the following required variables:
* `sex` entered as the invalid column name `foo` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sex`, but must be one of "female", "f", "male", "m"
Please check the following required variables:
Please check the following required variables:
* `sbp` entered as the invalid column name `blood_pressure` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sbp`, but must be between 90 and 180
Please check the following required variables:
* `sbp` entered as the invalid column name `blood_pressure` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sbp`, but must be between 90 and 180
Please check the following required variables:
* `sbp` entered as the invalid column name `blood_pressure` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sbp`, but must be between 90 and 180
Please check the following required variables:
* `sbp` entered as the invalid column name `blood_pressure` in conjunction with `use_dat = TRUE`; as such, no values were passed for `sbp`, but must be between 90 and 180
Please check the following required variables:
Please check the following required variables:
* `bp_tx` entered as the invalid column name `blood_pressure_treatment` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bp_tx`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `bp_tx` entered as the invalid column name `blood_pressure_treatment` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bp_tx`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `bp_tx` entered as the invalid column name `blood_pressure_treatment` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bp_tx`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `bp_tx` entered as the invalid column name `blood_pressure_treatment` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bp_tx`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
Please check the following required variables:
* `total_c` entered as the invalid column name `total_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `total_c`, but must be between 130 and 320
Please check the following required variables:
* `total_c` entered as the invalid column name `total_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `total_c`, but must be between 130 and 320
Please check the following required variables:
* `total_c` entered as the invalid column name `total_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `total_c`, but must be between 130 and 320
Please check the following required variables:
* `total_c` entered as the invalid column name `total_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `total_c`, but must be between 130 and 320
Please check the following required variables:
Please check the following required variables:
* `hdl_c` entered as the invalid column name `hdl_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hdl_c`, but must be between 20 and 100
Please check the following required variables:
* `hdl_c` entered as the invalid column name `hdl_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hdl_c`, but must be between 20 and 100
Please check the following required variables:
* `hdl_c` entered as the invalid column name `hdl_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hdl_c`, but must be between 20 and 100
Please check the following required variables:
* `hdl_c` entered as the invalid column name `hdl_cholesterol` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hdl_c`, but must be between 20 and 100
Please check the following required variables:
Please check the following required variables:
* `statin` entered as the invalid column name `statin_use` in conjunction with `use_dat = TRUE`; as such, no values were passed for `statin`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `statin` entered as the invalid column name `statin_use` in conjunction with `use_dat = TRUE`; as such, no values were passed for `statin`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `statin` entered as the invalid column name `statin_use` in conjunction with `use_dat = TRUE`; as such, no values were passed for `statin`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `statin` entered as the invalid column name `statin_use` in conjunction with `use_dat = TRUE`; as such, no values were passed for `statin`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
Please check the following required variables:
* `dm` entered as the invalid column name `diabetes` in conjunction with `use_dat = TRUE`; as such, no values were passed for `dm`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `dm` entered as the invalid column name `diabetes` in conjunction with `use_dat = TRUE`; as such, no values were passed for `dm`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `dm` entered as the invalid column name `diabetes` in conjunction with `use_dat = TRUE`; as such, no values were passed for `dm`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `dm` entered as the invalid column name `diabetes` in conjunction with `use_dat = TRUE`; as such, no values were passed for `dm`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
Please check the following required variables:
* `smoking` entered as the invalid column name `smoking_status` in conjunction with `use_dat = TRUE`; as such, no values were passed for `smoking`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `smoking` entered as the invalid column name `smoking_status` in conjunction with `use_dat = TRUE`; as such, no values were passed for `smoking`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `smoking` entered as the invalid column name `smoking_status` in conjunction with `use_dat = TRUE`; as such, no values were passed for `smoking`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
* `smoking` entered as the invalid column name `smoking_status` in conjunction with `use_dat = TRUE`; as such, no values were passed for `smoking`, but must be one of TRUE, 1, FALSE, 0
Please check the following required variables:
Please check the following required variables:
* `egfr` entered as the invalid column name `estimated_glomerular_filtration_rate` in conjunction with `use_dat = TRUE`; as such, no values were passed for `egfr`, but must be between 15 and 140
Please check the following required variables:
* `egfr` entered as the invalid column name `estimated_glomerular_filtration_rate` in conjunction with `use_dat = TRUE`; as such, no values were passed for `egfr`, but must be between 15 and 140
Please check the following required variables:
* `egfr` entered as the invalid column name `estimated_glomerular_filtration_rate` in conjunction with `use_dat = TRUE`; as such, no values were passed for `egfr`, but must be between 15 and 140
Please check the following required variables:
* `egfr` entered as the invalid column name `estimated_glomerular_filtration_rate` in conjunction with `use_dat = TRUE`; as such, no values were passed for `egfr`, but must be between 15 and 140
Please check the following required variables:
Please check the following required variables:
* `bmi` entered as the invalid column name `body_mass_index` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bmi`, but must be between 18.5 and 39.9
Please check the following required variables:
* `bmi` entered as the invalid column name `body_mass_index` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bmi`, but must be between 18.5 and 39.9
Please check the following required variables:
* `bmi` entered as the invalid column name `body_mass_index` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bmi`, but must be between 18.5 and 39.9
Please check the following required variables:
* `bmi` entered as the invalid column name `body_mass_index` in conjunction with `use_dat = TRUE`; as such, no values were passed for `bmi`, but must be between 18.5 and 39.9
Please check the following optional variables:
Please check the following optional variables:
* `hba1c` entered as the invalid column name `sugar` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hba1c`, but must be between 4.5 and 15
Please check the following optional variables:
* `hba1c` entered as the invalid column name `sugar` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hba1c`, but must be between 4.5 and 15
Please check the following optional variables:
* `hba1c` entered as the invalid column name `sugar` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hba1c`, but must be between 4.5 and 15
Please check the following optional variables:
* `hba1c` entered as the invalid column name `sugar` in conjunction with `use_dat = TRUE`; as such, no values were passed for `hba1c`, but must be between 4.5 and 15
Please check the following optional variables:
Please check the following optional variables:
* `uacr` entered as the invalid column name `protein` in conjunction with `use_dat = TRUE`; as such, no values were passed for `uacr`, but must be between 0.1 and 25000
Please check the following optional variables:
* `uacr` entered as the invalid column name `protein` in conjunction with `use_dat = TRUE`; as such, no values were passed for `uacr`, but must be between 0.1 and 25000
Please check the following optional variables:
* `uacr` entered as the invalid column name `protein` in conjunction with `use_dat = TRUE`; as such, no values were passed for `uacr`, but must be between 0.1 and 25000
Please check the following optional variables:
* `uacr` entered as the invalid column name `protein` in conjunction with `use_dat = TRUE`; as such, no values were passed for `uacr`, but must be between 0.1 and 25000
Please check the following optional variables:
Please check the following optional variables:
* `zip` entered as the invalid column name `where_are_you` in conjunction with `use_dat = TRUE`; as such, no values were passed for `zip`
Please check the following optional variables:
* `zip` entered as the invalid column name `where_are_you` in conjunction with `use_dat = TRUE`; as such, no values were passed for `zip`
Please check the following optional variables:
* `zip` entered as the invalid column name `where_are_you` in conjunction with `use_dat = TRUE`; as such, no values were passed for `zip`
Please check the following optional variables:
* `zip` entered as the invalid column name `where_are_you` in conjunction with `use_dat = TRUE`; as such, no values were passed for `zip`
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PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding SDI.
Please check the following optional variables:
* `hba1c` entered as 8675309, but must be between 4.5 and 15
PREVENT estimates are from: Base model adding UACR.
Please check the following required variables:
* `total_c` entered as 162, but must be between 3.36 and 8.28
* `hdl_c` entered as 81, but must be between 0.52 and 2.59
Please check the following optional variables:
* `hba1c` entered as 8675309, but must be between 4.5 and 15
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding SDI.
Please check the following optional variables:
* `hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding UACR.
Please check the following required variables:
* `total_c` entered as 162, but must be between 3.36 and 8.28
* `hdl_c` entered as 81, but must be between 0.52 and 2.59
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding SDI.
PREVENT estimates are from: Base model.
Please check the following optional variables:
Please check the following optional variables:
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
Please check the following optional variables:
* `hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)
Please check the following optional variables:
Please check the following optional variables:
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
Please check the following optional variables:
* `hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)
Please check the following required variables:
* `total_c` entered as 162, but must be between 3.36 and 8.28
* `hdl_c` entered as 81, but must be between 0.52 and 2.59
Please check the following required variables:
* `total_c` entered as 162, but must be between 3.36 and 8.28
* `hdl_c` entered as 81, but must be between 0.52 and 2.59
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding SDI.
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding UACR.
PREVENT estimates are from: Base model.
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
PREVENT estimates are from: Base model adding UACR.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c.
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
[ FAIL 23 | WARN 0 | SKIP 59 | PASS 797 ]
══ Skipped tests (59) ══════════════════════════════════════════════════════════
• On CRAN (59): 'test-helpers_test.R:188:3', 'test-helpers_test.R:226:3',
'test-other_models.R:1023:3', 'test-prevent_equations.R:293:3',
'test-prevent_equations.R:297:3', 'test-prevent_equations.R:334:3',
'test-prevent_equations.R:367:3', 'test-prevent_equations.R:371:3',
'test-prevent_equations.R:377:3', 'test-prevent_equations.R:381:3',
'test-prevent_equations.R:385:3', 'test-prevent_equations.R:393:3',
'test-prevent_equations.R:397:3', 'test-prevent_equations.R:405:3',
'test-prevent_equations.R:411:3', 'test-prevent_equations.R:415:3',
'test-prevent_equations.R:421:3', 'test-prevent_equations.R:425:3',
'test-prevent_equations.R:431:3', 'test-prevent_equations.R:435:3',
'test-prevent_equations.R:439:3', 'test-prevent_equations.R:443:3',
'test-prevent_equations.R:447:3', 'test-prevent_equations.R:451:3',
'test-prevent_equations.R:464:3', 'test-prevent_equations.R:468:3',
'test-prevent_equations.R:472:3', 'test-prevent_equations.R:476:3',
'test-prevent_equations.R:480:3', 'test-prevent_equations.R:484:3',
'test-prevent_equations.R:488:3', 'test-prevent_equations.R:492:3',
'test-prevent_equations.R:529:3', 'test-prevent_equations.R:590:3',
'test-prevent_equations.R:594:3', 'test-prevent_equations.R:599:3',
'test-prevent_equations.R:608:3', 'test-prevent_equations.R:617:3',
'test-prevent_equations.R:626:3', 'test-prevent_equations.R:636:3',
'test-prevent_equations.R:646:3', 'test-prevent_equations.R:657:3',
'test-prevent_equations.R:676:3', 'test-prevent_equations.R:696:3',
'test-prevent_equations.R:735:3', 'test-prevent_equations.R:746:3',
'test-prevent_equations.R:942:3', 'test-prevent_equations.R:961:3',
'test-prevent_equations.R:981:3', 'test-prevent_equations.R:1020:3',
'test-prevent_equations.R:1031:3', 'test-prevent_equations.R:1297:3',
'test-prevent_equations.R:1486:3', 'test-prevent_equations.R:1584:3',
'test-prevent_equations.R:1604:3', 'test-prevent_equations.R:1624:3',
'test-prevent_equations.R:1802:3', 'test-prevent_equations.R:1842:3',
'test-prevent_equations.R:3345:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-prevent_equations.R:2557:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59; `hba1c` entered as 8675309, but must be between 4.5 and 15"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2544:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15") at test-prevent_equations.R:2557:11
── Failure ('test-prevent_equations.R:2557:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59; `hba1c` entered as 8675309, but must be between 4.5 and 15"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2544:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15") at test-prevent_equations.R:2557:11
── Failure ('test-prevent_equations.R:2557:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59; `hba1c` entered as 8675309, but must be between 4.5 and 15"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2544:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15") at test-prevent_equations.R:2557:11
── Failure ('test-prevent_equations.R:2557:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59; `hba1c` entered as 8675309, but must be between 4.5 and 15"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2544:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15") at test-prevent_equations.R:2557:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 4.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- NA
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 4.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- NA
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 4.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- NA
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 4.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- NA
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 5.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 5.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 5.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2575:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
count_nas_from_res(...) (`actual`) not equal to 0 (`expected`).
`actual`: 5.0
`expected`: 0.0
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(...) at test-prevent_equations.R:2575:9
── Failure ('test-prevent_equations.R:2592:11'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`input_problems` (`actual`) not equal to "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)" (`expected`).
actual vs expected
- "`total_c` entered as 162, but must be between 3.36 and 8.28; `hdl_c` entered as 81, but must be between 0.52 and 2.59"
+ "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)"
Backtrace:
▆
1. ├─base::with(...) at test-prevent_equations.R:2571:5
2. └─base::with.default(...)
3. └─base::eval(substitute(expr), data, enclos = parent.frame())
4. └─base::eval(substitute(expr), data, enclos = parent.frame())
5. └─testthat::expect_equal(input_problems, "`hba1c` entered as 8675309, but must be between 4.5 and 15 (so set to NULL)") at test-prevent_equations.R:2592:11
── Failure ('test-prevent_equations.R:2605:3'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
Expected `est_risk(use_dat = dat, progress = FALSE)` to run without any messages.
i Actually got a <simpleMessage> with text:
PREVENT estimates are from: Base model adding HbA1c, SDI, and UACR (also referred to as the full model).
── Failure ('test-prevent_equations.R:2618:7'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`est_risk(use_dat = dat[i, ], quiet = FALSE, progress = FALSE)` did not throw the expected message.
── Failure ('test-prevent_equations.R:2626:9'): args `use_dat` and `add_to_dat` behave as intended, `optional_strict` and `quiet` vars ──
`est_risk(use_dat = dat[i, ], quiet = FALSE, progress = FALSE)` did not throw the expected message.
[ FAIL 23 | WARN 0 | SKIP 59 | PASS 797 ]
Error: Test failures
Execution halted
Flavor: r-release-linux-x86_64