CRAN Package Check Results for Package starschemar

Last updated on 2023-03-01 08:55:01 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	1.2.0	9.43	74.67	84.10	ERROR
r-devel-linux-x86_64-debian-gcc	1.2.0	7.89	57.19	65.08	ERROR
r-devel-linux-x86_64-fedora-clang	1.2.0			105.67	ERROR
r-devel-linux-x86_64-fedora-gcc	1.2.0			112.19	ERROR
r-devel-windows-x86_64	1.2.0	15.00	137.00	152.00	ERROR
r-patched-linux-x86_64	1.2.0	7.81	65.68	73.49	ERROR
r-release-linux-x86_64	1.2.0	5.96	66.26	72.22	ERROR
r-release-macos-arm64	1.2.0			45.00	NOTE
r-release-macos-x86_64	1.2.0			78.00	NOTE
r-release-windows-x86_64	1.2.0	190.00	114.00	304.00	ERROR
r-oldrel-macos-arm64	1.2.0			53.00	NOTE
r-oldrel-macos-x86_64	1.2.0			75.00	NOTE
r-oldrel-windows-ix86+x86_64	1.2.0		19.00	19.00	ERROR

Check Details

Version: 1.2.0
Check: examples
Result: ERROR
    Running examples in ‘starschemar-Ex.R’ failed
    The error most likely occurred in:

    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: character_dimensions
    > ### Title: Transform dimension numeric attributes to character
    > ### Aliases: character_dimensions character_dimensions.star_schema
    >
    > ### ** Examples
    >
    > library(tidyr)
    >
    > st <- star_schema(mrs_age_test, dm_mrs_age) %>%
    + role_playing_dimension(
    + dim_names = c("when", "when_available"),
    + name = "When Common",
    + attributes = c("date", "week", "year")
    + ) %>%
    + character_dimensions(length_integers = list(week = 2),
    + NA_replacement_value = "Unknown")
    Warning: The `.dots` argument of `group_by()` is deprecated as of dplyr 1.0.0.
    ℹ The deprecated feature was likely used in the dplyr package.
     Please report the issue at <https://github.com/tidyverse/dplyr/issues>.
    Error in `eval_select_impl()`:
    ! `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
    Backtrace:
     ▆
     1. ├─... %>% ...
     2. ├─starschemar::character_dimensions(...)
     3. ├─starschemar::role_playing_dimension(...)
     4. └─starschemar:::role_playing_dimension.star_schema(...)
     5. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     6. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     7. └─dplyr::summarise_all(dimensions[[1]], class)
     8. ├─dplyr::summarise(.tbl, !!!funs)
     9. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     10. └─dplyr:::compute_by(...)
     11. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     12. └─tidyselect::eval_select(...)
     13. └─tidyselect:::eval_select_impl(...)
     14. └─vctrs::vec_assert(x)
     15. └─vctrs:::stop_scalar_type(x, arg, call = call)
     16. └─vctrs:::stop_vctrs(...)
     17. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
    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: 1.2.0
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘starschemar.Rmd’ using rmarkdown
    Quitting from lines 354-363 (starschemar.Rmd)
    Error: processing vignette ‘starschemar.Rmd’ failed with diagnostics:
    `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
    --- failed re-building ‘starschemar.Rmd’

    SUMMARY: processing the following file failed:
     ‘starschemar.Rmd’

    Error: Vignette re-building failed.
    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: 1.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [8s/11s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(starschemar)
     >
     > test_check("starschemar")
     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-character_dimension.R:5'): character_dimension works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::character_dimension(...) at test-character_dimension.R:5:2
     2. └─starschemar:::character_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(dimension[, -1], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-character_dimensions.R:5'): character_dimensions works ─────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::character_dimensions(...) at test-character_dimensions.R:5:2
     2. └─starschemar:::character_dimensions.star_schema(...)
     3. ├─starschemar:::character_dimension(...)
     4. └─starschemar:::character_dimension.dimension_table(...)
     5. └─dplyr::summarise_all(dimension[, -1], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-constellation.R:4'): constellation works ───────────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar::constellation(...) at test-constellation.R:4:2
     2. └─starschemar:::conform_all_dimensions(ct)
     3. └─starschemar:::conform_dimensions(ct, name = d)
     4. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     5. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     6. └─dplyr::summarise_all(dimensions[[1]], class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_conformed_dimension_records.R:4'): modify_conformed_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_conformed_dimension_records(...) at test-modify_conformed_dimension_records.R:4:2
     2. └─starschemar:::modify_conformed_dimension_records.constellation(...)
     3. └─starschemar:::update_dimensions(ct$dimension, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_dimension_records.R:4'): modify_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_dimension_records(st_mrs_age_test, updates_st_mrs_age_test) at test-modify_dimension_records.R:4:2
     2. └─starschemar:::modify_dimension_records.star_schema(...)
     3. └─starschemar:::update_dimensions(dimensions, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-purge_dimensions_constellation.R:10'): purge_dimensions_constellation works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─... %>% purge_dimensions_constellation() at test-purge_dimensions_constellation.R:10:2
     2. ├─starschemar::purge_dimensions_constellation(.)
     3. └─starschemar:::purge_dimensions_constellation.constellation(.)
     4. └─starschemar:::conform_all_dimensions(ct)
     5. └─starschemar:::conform_dimensions(ct, name = d)
     6. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     7. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     8. └─dplyr::summarise_all(dimensions[[1]], class)
     9. ├─dplyr::summarise(.tbl, !!!funs)
     10. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     11. └─dplyr:::compute_by(...)
     12. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     13. └─tidyselect::eval_select(...)
     14. └─tidyselect:::eval_select_impl(...)
     15. └─vctrs::vec_assert(x)
     16. └─vctrs:::stop_scalar_type(x, arg, call = call)
     17. └─vctrs:::stop_vctrs(...)
     18. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-role_playing_dimension.R:5'): role_playing_dimension works ─────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::role_playing_dimension(...) at test-role_playing_dimension.R:5:2
     2. └─starschemar:::role_playing_dimension.star_schema(...)
     3. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     4. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     5. └─dplyr::summarise_all(dimensions[[1]], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-union_of_dimensions.R:4'): union_of_dimensions works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::union_of_dimensions(...) at test-union_of_dimensions.R:4:2
     2. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     3. └─dplyr::summarise_all(dimensions[[1]], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimension.R:4'): update_dimension works ─────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::update_dimension(...) at test-update_dimension.R:4:2
     2. └─starschemar:::update_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(mod_dim, class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimensions.R:4'): update_dimensions works ───────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(ct_mrs_test$dimension, updates_st_mrs_age_test) at test-update_dimensions.R:4:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_facts_with_dimensions.R:5'): update_facts_with_dimensions works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(dimensions, updates_st_mrs_age_test) at test-update_facts_with_dimensions.R:5:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))

     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.2.0
Check: dependencies in R code
Result: NOTE
    Namespaces in Imports field not imported from:
     ‘pander’ ‘readr’ ‘tidyselect’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 1.2.0
Check: examples
Result: ERROR
    Running examples in ‘starschemar-Ex.R’ failed
    The error most likely occurred in:

    > ### Name: character_dimensions
    > ### Title: Transform dimension numeric attributes to character
    > ### Aliases: character_dimensions character_dimensions.star_schema
    >
    > ### ** Examples
    >
    > library(tidyr)
    >
    > st <- star_schema(mrs_age_test, dm_mrs_age) %>%
    + role_playing_dimension(
    + dim_names = c("when", "when_available"),
    + name = "When Common",
    + attributes = c("date", "week", "year")
    + ) %>%
    + character_dimensions(length_integers = list(week = 2),
    + NA_replacement_value = "Unknown")
    Warning: The `.dots` argument of `group_by()` is deprecated as of dplyr 1.0.0.
    ℹ The deprecated feature was likely used in the dplyr package.
     Please report the issue at <https://github.com/tidyverse/dplyr/issues>.
    Error in `eval_select_impl()`:
    ! `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
    Backtrace:
     ▆
     1. ├─... %>% ...
     2. ├─starschemar::character_dimensions(...)
     3. ├─starschemar::role_playing_dimension(...)
     4. └─starschemar:::role_playing_dimension.star_schema(...)
     5. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     6. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     7. └─dplyr::summarise_all(dimensions[[1]], class)
     8. ├─dplyr::summarise(.tbl, !!!funs)
     9. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     10. └─dplyr:::compute_by(...)
     11. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     12. └─tidyselect::eval_select(...)
     13. └─tidyselect:::eval_select_impl(...)
     14. └─vctrs::vec_assert(x)
     15. └─vctrs:::stop_scalar_type(x, arg, call = call)
     16. └─vctrs:::stop_vctrs(...)
     17. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64

Version: 1.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [13s/18s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(starschemar)
     >
     > test_check("starschemar")
     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-character_dimension.R:5'): character_dimension works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::character_dimension(...) at test-character_dimension.R:5:2
     2. └─starschemar:::character_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(dimension[, -1], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-character_dimensions.R:5'): character_dimensions works ─────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::character_dimensions(...) at test-character_dimensions.R:5:2
     2. └─starschemar:::character_dimensions.star_schema(...)
     3. ├─starschemar:::character_dimension(...)
     4. └─starschemar:::character_dimension.dimension_table(...)
     5. └─dplyr::summarise_all(dimension[, -1], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-constellation.R:4'): constellation works ───────────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar::constellation(...) at test-constellation.R:4:2
     2. └─starschemar:::conform_all_dimensions(ct)
     3. └─starschemar:::conform_dimensions(ct, name = d)
     4. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     5. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     6. └─dplyr::summarise_all(dimensions[[1]], class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_conformed_dimension_records.R:4'): modify_conformed_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_conformed_dimension_records(...) at test-modify_conformed_dimension_records.R:4:2
     2. └─starschemar:::modify_conformed_dimension_records.constellation(...)
     3. └─starschemar:::update_dimensions(ct$dimension, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_dimension_records.R:4'): modify_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_dimension_records(st_mrs_age_test, updates_st_mrs_age_test) at test-modify_dimension_records.R:4:2
     2. └─starschemar:::modify_dimension_records.star_schema(...)
     3. └─starschemar:::update_dimensions(dimensions, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-purge_dimensions_constellation.R:10'): purge_dimensions_constellation works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─... %>% purge_dimensions_constellation() at test-purge_dimensions_constellation.R:10:2
     2. ├─starschemar::purge_dimensions_constellation(.)
     3. └─starschemar:::purge_dimensions_constellation.constellation(.)
     4. └─starschemar:::conform_all_dimensions(ct)
     5. └─starschemar:::conform_dimensions(ct, name = d)
     6. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     7. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     8. └─dplyr::summarise_all(dimensions[[1]], class)
     9. ├─dplyr::summarise(.tbl, !!!funs)
     10. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     11. └─dplyr:::compute_by(...)
     12. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     13. └─tidyselect::eval_select(...)
     14. └─tidyselect:::eval_select_impl(...)
     15. └─vctrs::vec_assert(x)
     16. └─vctrs:::stop_scalar_type(x, arg, call = call)
     17. └─vctrs:::stop_vctrs(...)
     18. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-role_playing_dimension.R:5'): role_playing_dimension works ─────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::role_playing_dimension(...) at test-role_playing_dimension.R:5:2
     2. └─starschemar:::role_playing_dimension.star_schema(...)
     3. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     4. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     5. └─dplyr::summarise_all(dimensions[[1]], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-union_of_dimensions.R:4'): union_of_dimensions works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::union_of_dimensions(...) at test-union_of_dimensions.R:4:2
     2. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     3. └─dplyr::summarise_all(dimensions[[1]], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimension.R:4'): update_dimension works ─────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::update_dimension(...) at test-update_dimension.R:4:2
     2. └─starschemar:::update_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(mod_dim, class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimensions.R:4'): update_dimensions works ───────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(ct_mrs_test$dimension, updates_st_mrs_age_test) at test-update_dimensions.R:4:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_facts_with_dimensions.R:5'): update_facts_with_dimensions works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(dimensions, updates_st_mrs_age_test) at test-update_facts_with_dimensions.R:5:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))

     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.2.0
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
    --- re-building ‘starschemar.Rmd’ using rmarkdown
    Quitting from lines 354-363 (starschemar.Rmd)
    Error: processing vignette 'starschemar.Rmd' failed with diagnostics:
    `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
    --- failed re-building ‘starschemar.Rmd’

    SUMMARY: processing the following file failed:
     ‘starschemar.Rmd’

    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64

Version: 1.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [12s/13s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(starschemar)
     >
     > test_check("starschemar")
     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-character_dimension.R:5'): character_dimension works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::character_dimension(...) at test-character_dimension.R:5:2
     2. └─starschemar:::character_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(dimension[, -1], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-character_dimensions.R:5'): character_dimensions works ─────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::character_dimensions(...) at test-character_dimensions.R:5:2
     2. └─starschemar:::character_dimensions.star_schema(...)
     3. ├─starschemar:::character_dimension(...)
     4. └─starschemar:::character_dimension.dimension_table(...)
     5. └─dplyr::summarise_all(dimension[, -1], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-constellation.R:4'): constellation works ───────────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar::constellation(...) at test-constellation.R:4:2
     2. └─starschemar:::conform_all_dimensions(ct)
     3. └─starschemar:::conform_dimensions(ct, name = d)
     4. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     5. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     6. └─dplyr::summarise_all(dimensions[[1]], class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_conformed_dimension_records.R:4'): modify_conformed_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_conformed_dimension_records(...) at test-modify_conformed_dimension_records.R:4:2
     2. └─starschemar:::modify_conformed_dimension_records.constellation(...)
     3. └─starschemar:::update_dimensions(ct$dimension, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_dimension_records.R:4'): modify_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_dimension_records(st_mrs_age_test, updates_st_mrs_age_test) at test-modify_dimension_records.R:4:2
     2. └─starschemar:::modify_dimension_records.star_schema(...)
     3. └─starschemar:::update_dimensions(dimensions, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-purge_dimensions_constellation.R:10'): purge_dimensions_constellation works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─... %>% purge_dimensions_constellation() at test-purge_dimensions_constellation.R:10:2
     2. ├─starschemar::purge_dimensions_constellation(.)
     3. └─starschemar:::purge_dimensions_constellation.constellation(.)
     4. └─starschemar:::conform_all_dimensions(ct)
     5. └─starschemar:::conform_dimensions(ct, name = d)
     6. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     7. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     8. └─dplyr::summarise_all(dimensions[[1]], class)
     9. ├─dplyr::summarise(.tbl, !!!funs)
     10. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     11. └─dplyr:::compute_by(...)
     12. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     13. └─tidyselect::eval_select(...)
     14. └─tidyselect:::eval_select_impl(...)
     15. └─vctrs::vec_assert(x)
     16. └─vctrs:::stop_scalar_type(x, arg, call = call)
     17. └─vctrs:::stop_vctrs(...)
     18. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-role_playing_dimension.R:5'): role_playing_dimension works ─────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::role_playing_dimension(...) at test-role_playing_dimension.R:5:2
     2. └─starschemar:::role_playing_dimension.star_schema(...)
     3. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     4. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     5. └─dplyr::summarise_all(dimensions[[1]], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-union_of_dimensions.R:4'): union_of_dimensions works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::union_of_dimensions(...) at test-union_of_dimensions.R:4:2
     2. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     3. └─dplyr::summarise_all(dimensions[[1]], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimension.R:4'): update_dimension works ─────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::update_dimension(...) at test-update_dimension.R:4:2
     2. └─starschemar:::update_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(mod_dim, class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimensions.R:4'): update_dimensions works ───────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(ct_mrs_test$dimension, updates_st_mrs_age_test) at test-update_dimensions.R:4:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_facts_with_dimensions.R:5'): update_facts_with_dimensions works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(dimensions, updates_st_mrs_age_test) at test-update_facts_with_dimensions.R:5:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))

     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.2.0
Check: tests
Result: ERROR
     Running 'testthat.R' [11s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(starschemar)
     >
     > test_check("starschemar")
     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-character_dimension.R:5'): character_dimension works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::character_dimension(...) at test-character_dimension.R:5:2
     2. └─starschemar:::character_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(dimension[, -1], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-character_dimensions.R:5'): character_dimensions works ─────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::character_dimensions(...) at test-character_dimensions.R:5:2
     2. └─starschemar:::character_dimensions.star_schema(...)
     3. ├─starschemar:::character_dimension(...)
     4. └─starschemar:::character_dimension.dimension_table(...)
     5. └─dplyr::summarise_all(dimension[, -1], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-constellation.R:4'): constellation works ───────────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar::constellation(...) at test-constellation.R:4:2
     2. └─starschemar:::conform_all_dimensions(ct)
     3. └─starschemar:::conform_dimensions(ct, name = d)
     4. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     5. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     6. └─dplyr::summarise_all(dimensions[[1]], class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_conformed_dimension_records.R:4'): modify_conformed_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_conformed_dimension_records(...) at test-modify_conformed_dimension_records.R:4:2
     2. └─starschemar:::modify_conformed_dimension_records.constellation(...)
     3. └─starschemar:::update_dimensions(ct$dimension, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-modify_dimension_records.R:4'): modify_dimension_records works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::modify_dimension_records(st_mrs_age_test, updates_st_mrs_age_test) at test-modify_dimension_records.R:4:2
     2. └─starschemar:::modify_dimension_records.star_schema(...)
     3. └─starschemar:::update_dimensions(dimensions, updates)
     4. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     5. └─starschemar:::update_dimension.dimension_table(...)
     6. └─dplyr::summarise_all(mod_dim, class)
     7. ├─dplyr::summarise(.tbl, !!!funs)
     8. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     9. └─dplyr:::compute_by(...)
     10. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     11. └─tidyselect::eval_select(...)
     12. └─tidyselect:::eval_select_impl(...)
     13. └─vctrs::vec_assert(x)
     14. └─vctrs:::stop_scalar_type(x, arg, call = call)
     15. └─vctrs:::stop_vctrs(...)
     16. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-purge_dimensions_constellation.R:10'): purge_dimensions_constellation works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─... %>% purge_dimensions_constellation() at test-purge_dimensions_constellation.R:10:2
     2. ├─starschemar::purge_dimensions_constellation(.)
     3. └─starschemar:::purge_dimensions_constellation.constellation(.)
     4. └─starschemar:::conform_all_dimensions(ct)
     5. └─starschemar:::conform_dimensions(ct, name = d)
     6. └─starschemar:::union_of_dimensions(dl, name = name, type = "conformed")
     7. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     8. └─dplyr::summarise_all(dimensions[[1]], class)
     9. ├─dplyr::summarise(.tbl, !!!funs)
     10. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     11. └─dplyr:::compute_by(...)
     12. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     13. └─tidyselect::eval_select(...)
     14. └─tidyselect:::eval_select_impl(...)
     15. └─vctrs::vec_assert(x)
     16. └─vctrs:::stop_scalar_type(x, arg, call = call)
     17. └─vctrs:::stop_vctrs(...)
     18. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-role_playing_dimension.R:5'): role_playing_dimension works ─────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar::role_playing_dimension(...) at test-role_playing_dimension.R:5:2
     2. └─starschemar:::role_playing_dimension.star_schema(...)
     3. └─starschemar:::union_of_dimensions(dl, name = name, type = "role_playing")
     4. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     5. └─dplyr::summarise_all(dimensions[[1]], class)
     6. ├─dplyr::summarise(.tbl, !!!funs)
     7. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     8. └─dplyr:::compute_by(...)
     9. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     10. └─tidyselect::eval_select(...)
     11. └─tidyselect:::eval_select_impl(...)
     12. └─vctrs::vec_assert(x)
     13. └─vctrs:::stop_scalar_type(x, arg, call = call)
     14. └─vctrs:::stop_vctrs(...)
     15. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-union_of_dimensions.R:4'): union_of_dimensions works ───────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::union_of_dimensions(...) at test-union_of_dimensions.R:4:2
     2. ├─base::unlist(dplyr::summarise_all(dimensions[[1]], class))
     3. └─dplyr::summarise_all(dimensions[[1]], class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimension.R:4'): update_dimension works ─────────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. ├─starschemar:::update_dimension(...) at test-update_dimension.R:4:2
     2. └─starschemar:::update_dimension.dimension_table(...)
     3. └─dplyr::summarise_all(mod_dim, class)
     4. ├─dplyr::summarise(.tbl, !!!funs)
     5. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     6. └─dplyr:::compute_by(...)
     7. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     8. └─tidyselect::eval_select(...)
     9. └─tidyselect:::eval_select_impl(...)
     10. └─vctrs::vec_assert(x)
     11. └─vctrs:::stop_scalar_type(x, arg, call = call)
     12. └─vctrs:::stop_vctrs(...)
     13. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_dimensions.R:4'): update_dimensions works ───────────────
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(ct_mrs_test$dimension, updates_st_mrs_age_test) at test-update_dimensions.R:4:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))
     ── Error ('test-update_facts_with_dimensions.R:5'): update_facts_with_dimensions works ──
     <vctrs_error_scalar_type/vctrs_error/rlang_error/error/condition>
     Error in `eval_select_impl(data, names(data), as_quosure(expr, env), include = include,
     exclude = exclude, strict = strict, name_spec = name_spec,
     allow_rename = allow_rename, allow_empty = allow_empty, allow_predicates = allow_predicates,
     error_call = error_call, )`: `x` must be a vector, not a <tbl_df/tbl/data.frame/dimension_table> object.
     Backtrace:
     ▆
     1. └─starschemar:::update_dimensions(dimensions, updates_st_mrs_age_test) at test-update_facts_with_dimensions.R:5:2
     2. ├─starschemar:::update_dimension(dimensions[[d]], updates)
     3. └─starschemar:::update_dimension.dimension_table(...)
     4. └─dplyr::summarise_all(mod_dim, class)
     5. ├─dplyr::summarise(.tbl, !!!funs)
     6. └─dplyr:::summarise.data.frame(.tbl, !!!funs)
     7. └─dplyr:::compute_by(...)
     8. └─dplyr:::eval_select_by(by, data, error_call = error_call)
     9. └─tidyselect::eval_select(...)
     10. └─tidyselect:::eval_select_impl(...)
     11. └─vctrs::vec_assert(x)
     12. └─vctrs:::stop_scalar_type(x, arg, call = call)
     13. └─vctrs:::stop_vctrs(...)
     14. └─rlang::abort(message, class = c(class, "vctrs_error"), ..., call = vctrs_error_call(call))

     [ FAIL 11 | WARN 1 | SKIP 0 | PASS 149 ]
     Error: Test failures
     Execution halted
Flavors: r-devel-windows-x86_64, r-release-windows-x86_64

Version: 1.2.0
Check: whether package can be installed
Result: ERROR
install log '' does not exist
Flavor: r-oldrel-windows-ix86+x86_64