CRAN Package Check Results for Package INDperform

Last updated on 2020-05-01 09:55:10 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.2 13.37 167.46 180.83 ERROR
r-devel-linux-x86_64-debian-gcc 0.2.2 11.96 126.29 138.25 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.2 208.97 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.2 212.88 ERROR
r-devel-windows-ix86+x86_64 0.2.2 24.00 176.00 200.00 ERROR
r-patched-linux-x86_64 0.2.2 13.15 162.89 176.04 ERROR
r-patched-solaris-x86 0.2.2 271.70 ERROR
r-release-linux-x86_64 0.2.2 12.02 160.97 172.99 ERROR
r-release-osx-x86_64 0.2.2 ERROR
r-release-windows-ix86+x86_64 0.2.2 21.00 157.00 178.00 ERROR
r-oldrel-osx-x86_64 0.2.2 NOTE
r-oldrel-windows-ix86+x86_64 0.2.2 19.00 215.00 234.00 ERROR

Check Details

Version: 0.2.2
Check: examples
Result: ERROR
    Running examples in 'INDperform-Ex.R' failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: merge_models
    > ### Title: Merging two model output tibbles.
    > ### Aliases: merge_models
    >
    > ### ** Examples
    >
    > # Using some models of the Baltic Sea demo data:
    > # Merging GAM and GAMM tibbles
    > test_ids <- 47:50 # choose subset
    > gam_tbl <- model_gam_ex[test_ids,]
    > gamm_tbl <- model_gamm(ind_init_ex[test_ids,], filter= gam_tbl$tac)
    Error in model_gamm(ind_init_ex[test_ids, ], filter = gam_tbl$tac) :
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running 'testthat.R' [88s/95s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[~
     -- 1. Error: (unknown) (@test_model_gamm.R#4) ---------------------------------
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +~
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     -- 2. Error: (unknown) (@test_scoring.R#15) -----------------------------------
     Assigned data `"x < 0.3"` must be compatible with existing data.
     i Error occurred for column `condition`.
     x No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     == testthat results ===========================================================
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [66s/93s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.2
Check: installed package size
Result: NOTE
     installed size is 5.0Mb
     sub-directories of 1Mb or more:
     data 3.1Mb
     help 1.6Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-osx-x86_64, r-release-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 0.2.2
Check: examples
Result: ERROR
    Running examples in ‘INDperform-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: merge_models
    > ### Title: Merging two model output tibbles.
    > ### Aliases: merge_models
    >
    > ### ** Examples
    >
    > # Using some models of the Baltic Sea demo data:
    > # Merging GAM and GAMM tibbles
    > test_ids <- 47:50 # choose subset
    > gam_tbl <- model_gam_ex[test_ids,]
    > gamm_tbl <- model_gamm(ind_init_ex[test_ids,], filter= gam_tbl$tac)
    Error in model_gamm(ind_init_ex[test_ids, ], filter = gam_tbl$tac) :
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-osx-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [98s/125s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [103s/120s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.2
Check: tests
Result: ERROR
     Running 'testthat.R' [81s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[~
     -- 1. Error: (unknown) (@test_model_gamm.R#4) ---------------------------------
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +~
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     -- 2. Error: (unknown) (@test_scoring.R#15) -----------------------------------
     Assigned data `"x < 0.3"` must be compatible with existing data.
     i Error occurred for column `condition`.
     x No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     == testthat results ===========================================================
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [85s/90s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [123s/152s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [84s/90s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[…
     ── 1. Error: (unknown) (@test_model_gamm.R#4) ─────────────────────────────────
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +…
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     ── 2. Error: (unknown) (@test_scoring.R#15) ───────────────────────────────────
     Assigned data `"x < 0.3"` must be compatible with existing data.
     ℹ Error occurred for column `condition`.
     ✖ No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [40s/57s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-osx-x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running 'testthat.R' [78s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[~
     -- 1. Error: (unknown) (@test_model_gamm.R#4) ---------------------------------
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +~
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     -- 2. Error: (unknown) (@test_scoring.R#15) -----------------------------------
     Assigned data `"x < 0.3"` must be compatible with existing data.
     i Error occurred for column `condition`.
     x No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     == testthat results ===========================================================
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.2.2
Check: tests
Result: ERROR
     Running 'testthat.R' [101s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(INDperform)
     >
     > test_check("INDperform")
     variable required_data_type
     1 edf double
     # A tibble: 2 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     variable required_data_type
     1 a list
     2 b factor
     3 c character
     [1] 1 1 1 1 1 1 1 2
     [1] 2 2 4 2 2 2 2 2
     # A tibble: 12 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 1 TZA Tsum 3 3
     2 3 MS Tsum 3 3
     3 5 rCC Tsum 3 3
     4 7 Cops Tsum 3 3
     5 9 Micro Tsum 3 3
     6 11 rZPPP Tsum 3 3
     7 13 Sprat Tsum 3 3
     8 15 Herring Tsum 3 3
     9 17 Stickle Tsum 3 3
     10 19 Cod Tsum 3 3
     11 21 SPF Tsum 3 3
     12 23 LPF Tsum 3 3
     # A tibble: 1 x 5
     id ind press nr_test_timesteps NAs_in_ind_press
     <int> <chr> <chr> <int> <int>
     1 3 test_ind press 3 3
     variable required_data_type
     1 id integer
     # A tibble: 1 x 4
     id ind press error_message
     <int> <chr> <chr> <chr>
     1 3 test_ind press "Error in mgcv::gam(stats::as.formula(paste0(names(dat)[~
     -- 1. Error: (unknown) (@test_model_gamm.R#4) ---------------------------------
     No IND~pressure GAMM could be fitted! Check if you chose the correct error distribution (default is gaussian()).
     Backtrace:
     1. INDperform::model_gamm(init_tbl = ind_init_ex[test_id, ])
    
     # A tibble: 1 x 3
     ind_id ind error_message
     <int> <chr> <chr>
     1 5 ind_na "Error in mgcv::gam(stats::as.formula(paste0(ind_name, \" ~ 1 +~
     variable required_data_type
     1 edf double
     variable required_data_type
     1 pred list
     -- 2. Error: (unknown) (@test_scoring.R#15) -----------------------------------
     Assigned data `"x < 0.3"` must be compatible with existing data.
     i Error occurred for column `condition`.
     x No common type for `value` <character> and `x` <list>.
     Backtrace:
     1. base::`[<-`(`*tmp*`, 4, "condition", value = "x < 0.3")
     2. tibble:::`[<-.tbl_df`(`*tmp*`, 4, "condition", value = "x < 0.3")
     3. tibble:::tbl_subassign(x, i, j, value, i_arg, j_arg, substitute(value))
     4. tibble:::tbl_subassign_row(xj, i, value, value_arg)
     5. base::tryCatch(...)
     6. base:::tryCatchList(expr, classes, parentenv, handlers)
     7. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
     8. value[[3L]](cond)
    
     == testthat results ===========================================================
     [ OK: 544 | SKIPPED: 0 | WARNINGS: 8 | FAILED: 2 ]
     1. Error: (unknown) (@test_model_gamm.R#4)
     2. Error: (unknown) (@test_scoring.R#15)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64