Nothing
Code
# # add
print_error(abort_add_rows_to_grouped_df())
Output
<error/tibble_error_add_rows_to_grouped_df>
Error:
! Can't add rows to grouped data frames.
Code
print_error(abort_incompatible_new_rows("a"))
Output
<error/tibble_error_incompatible_new_rows>
Error:
! New rows can't add columns.
x Can't find column `a` in `.data`.
Code
print_error(abort_incompatible_new_rows(letters[2:3]))
Output
<error/tibble_error_incompatible_new_rows>
Error:
! New rows can't add columns.
x Can't find columns `b` and `c` in `.data`.
Code
print_error(abort_incompatible_new_rows(LETTERS))
Output
<error/tibble_error_incompatible_new_rows>
Error:
! New rows can't add columns.
x Can't find columns `A`, `B`, `C`, `D`, `E`, and 21 more in `.data`.
Code
print_error(abort_both_before_after())
Output
<error/tibble_error_both_before_after>
Error:
! Can't specify both `.before` and `.after`.
Code
print_error(abort_unknown_column_names("a"))
Output
<error/tibble_error_unknown_column_names>
Error:
! Can't find column `a` in `.data`.
Code
print_error(abort_unknown_column_names(c("b", "c")))
Output
<error/tibble_error_unknown_column_names>
Error:
! Can't find columns `b` and `c` in `.data`.
Code
print_error(abort_unknown_column_names(LETTERS))
Output
<error/tibble_error_unknown_column_names>
Error:
! Can't find columns `A`, `B`, `C`, `D`, `E`, and 21 more in `.data`.
Code
print_error(abort_incompatible_new_cols(10, data.frame(a = 1:2)))
Output
<error/tibble_error_incompatible_new_cols>
Error:
! New columns must be compatible with `.data`.
x New column has 2 rows.
i `.data` has 10 rows.
Code
print_error(abort_incompatible_new_cols(1, data.frame(a = 1:3, b = 2:4)))
Output
<error/tibble_error_incompatible_new_cols>
Error:
! New columns must be compatible with `.data`.
x New columns have 3 rows.
i `.data` has 1 row.
Code
# # as_tibble
print_error(abort_column_scalar_type("a", 3, "environment"))
Output
<error/tibble_error_column_scalar_type>
Error:
! All columns in a tibble must be vectors.
x Column `a` is environment.
Code
print_error(abort_column_scalar_type("", 3, "environment"))
Output
<error/tibble_error_column_scalar_type>
Error:
! All columns in a tibble must be vectors.
x Column 3 is environment.
Code
print_error(abort_column_scalar_type(letters[2:3], 3:4, c("name", "NULL")))
Output
<error/tibble_error_column_scalar_type>
Error:
! All columns in a tibble must be vectors.
x Column `b` is name.
x Column `c` is NULL.
Code
print_error(abort_column_scalar_type(c("", "", LETTERS), 1:28, c("QQ", "VV",
letters)))
Output
<error/tibble_error_column_scalar_type>
Error:
! All columns in a tibble must be vectors.
x Column 1 is QQ.
x Column 2 is VV.
x Column `A` is a.
x Column `B` is b.
x Column `C` is c.
x ... and 23 more problems.
Code
print_error(abort_as_tibble_row_vector(new_environment()))
Output
<error/tibble_error_as_tibble_row_vector>
Error:
! `x` must be a vector in `as_tibble_row()`, not environment.
Code
print_error(abort_as_tibble_row_size_one(3, "foo", 7))
Output
<error/tibble_error_as_tibble_row_size_one>
Error:
! All elements must be size one, use `list()` to wrap.
x Element `foo` is of size 7.
Code
# # class-tbl_df
print_error(abort_names_must_be_non_null())
Output
<error/tibble_error_names_must_be_non_null>
Error:
! `names` must not be `NULL`.
Code
print_error(abort_names_must_have_length(length = 5, n = 3))
Output
<error/tibble_error_names_must_have_length>
Error:
! `names` must have length 3, not 5.
Code
# #enframe
print_error(abort_enframe_value_null())
Output
<error/tibble_error_enframe_value_null>
Error:
! `value` can't be NULL.
Code
print_error(abort_enframe_must_be_vector(lm(speed ~ ., cars)))
Output
<error/tibble_error_enframe_must_be_vector>
Error:
! The `x` argument to `enframe()` must be a vector, not lm.
Code
# # names
print_error(abort_column_names_cannot_be_empty(1, repair_hint = TRUE))
Output
<error/tibble_error_column_names_cannot_be_empty>
Error:
! Column 1 must be named.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_cannot_be_empty(2:3, repair_hint = TRUE))
Output
<error/tibble_error_column_names_cannot_be_empty>
Error:
! Columns 2 and 3 must be named.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_cannot_be_empty(seq_along(letters), repair_hint = TRUE))
Output
<error/tibble_error_column_names_cannot_be_empty>
Error:
! Columns 1, 2, 3, 4, 5, and 21 more must be named.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_cannot_be_empty(4:6, repair_hint = FALSE))
Output
<error/tibble_error_column_names_cannot_be_empty>
Error:
! Columns 4, 5, and 6 must be named.
Code
print_error(abort_column_names_cannot_be_dot_dot(1, repair_hint = FALSE))
Output
<error/tibble_error_column_names_cannot_be_dot_dot>
Error:
! Column 1 must not have names of the form ... or ..j.
Code
print_error(abort_column_names_cannot_be_dot_dot(2:3, repair_hint = TRUE))
Output
<error/tibble_error_column_names_cannot_be_dot_dot>
Error:
! Columns 2 and 3 must not have names of the form ... or ..j.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_cannot_be_dot_dot(1:26, repair_hint = TRUE))
Output
<error/tibble_error_column_names_cannot_be_dot_dot>
Error:
! Columns 1, 2, 3, 4, 5, and 21 more must not have names of the form ... or ..j.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_must_be_unique("a", repair_hint = FALSE))
Output
<error/tibble_error_column_names_must_be_unique>
Error:
! Column name `a` must not be duplicated.
Code
print_error(abort_column_names_must_be_unique(letters[2:3], repair_hint = TRUE))
Output
<error/tibble_error_column_names_must_be_unique>
Error:
! Column names `b` and `c` must not be duplicated.
Use `.name_repair` to specify repair.
Code
print_error(abort_column_names_must_be_unique(LETTERS, repair_hint = TRUE))
Output
<error/tibble_error_column_names_must_be_unique>
Error:
! Column names `A`, `B`, `C`, `D`, `E`, and 21 more must not be duplicated.
Use `.name_repair` to specify repair.
Code
# # new
print_error(abort_new_tibble_must_be_list())
Output
<error/tibble_error_new_tibble_must_be_list>
Error:
! `x` must be a list.
Code
print_error(abort_new_tibble_nrow_must_be_nonnegative())
Output
<error/tibble_error_new_tibble_nrow_must_be_nonnegative>
Error:
! `nrow` must be a nonnegative whole number smaller than 2^31.
Code
# # rownames
print_error(abort_already_has_rownames())
Output
<error/tibble_error_already_has_rownames>
Error:
! `.data` must be a data frame without row names.
Code
# # subsetting
print_error(abort_need_rhs_vector(quote(RHS)))
Output
<error/tibble_error_need_rhs_vector>
Error:
! `RHS` must be a vector, a bare list, a data frame or a matrix.
Code
print_error(abort_need_rhs_vector_or_null(quote(RHS)))
Output
<error/tibble_error_need_rhs_vector_or_null>
Error:
! `RHS` must be a vector, a bare list, a data frame, a matrix, or NULL.
Code
print_error(abort_dim_column_index(as.matrix("x")))
Output
<error/tibble_error_dim_column_index>
Error:
! Must use a vector in `[`, not an object of class matrix.
Code
print_error(abort_assign_columns_non_na_only())
Output
<error/tibble_error_assign_columns_non_na_only>
Error:
! Can't use NA as column index in a tibble for assignment.
Code
print_error(abort_subset_columns_non_missing_only())
Output
<error/tibble_error_subset_columns_non_missing_only>
Error:
! Subscript can't be missing for tibbles in `[[`.
Code
print_error(abort_assign_columns_non_missing_only())
Output
<error/tibble_error_assign_columns_non_missing_only>
Error:
! Subscript can't be missing for tibbles in `[[<-`.
Code
print_error(abort_assign_duplicate_column_subscript(c(1, 1)))
Output
<error/tibble_error_assign_duplicate_column_subscript>
Error:
! Column index 1 is used more than once for assignment.
Code
print_error(abort_assign_duplicate_column_subscript(c(1, 1, 2, 2)))
Output
<error/tibble_error_assign_duplicate_column_subscript>
Error:
! Column indexes 1 and 2 are used more than once for assignment.
Code
print_error(abort_assign_rows_non_na_only())
Output
<error/tibble_error_assign_rows_non_na_only>
Error:
! Can't use NA as row index in a tibble for assignment.
Code
print_error(abort_assign_duplicate_row_subscript(c(1, 1)))
Output
<error/tibble_error_assign_duplicate_row_subscript>
Error:
! Row index 1 is used more than once for assignment.
Code
print_error(abort_assign_duplicate_row_subscript(c(1, 1, 2, 2)))
Output
<error/tibble_error_assign_duplicate_row_subscript>
Error:
! Row indexes 1 and 2 are used more than once for assignment.
Code
print_error(abort_assign_incompatible_size(3, list(1:2), 1, NULL, quote(rhs)))
Output
<error/tibble_error_assign_incompatible_size>
Error:
! Assigned data `rhs` must be compatible with existing data.
x Existing data has 3 rows.
x Assigned data has 2 rows.
i Only vectors of size 1 are recycled.
Code
print_error(abort_assign_incompatible_size(4, list(1:4, 3:4), 2, quote(4:1),
quote(rhs)))
Output
<error/tibble_error_assign_incompatible_size>
Error:
! Assigned data `rhs` must be compatible with row subscript `4:1`.
x 4 rows must be assigned.
x Element 2 of assigned data has 2 rows.
i Only vectors of size 1 are recycled.
Code
print_error(abort_assign_incompatible_type(tibble(a = 1), list("c"), 1, quote(
rhs)))
Output
<error/tibble_error_assign_incompatible_type>
Error:
! Assigned data `rhs` must be compatible with existing data.
i Error occurred for column `a`.
Code
print_error(abort_assign_vector(list("c"), 1, quote(rhs)))
Output
<error/tibble_error_assign_vector>
Error:
! Assigned data `rhs` must be a vector.
Code
# # subsetting-matrix
print_error(abort_subset_matrix_must_be_logical(quote(is.na(x) + 1)))
Output
<error/tibble_error_subset_matrix_must_be_logical>
Error:
! Subscript `is.na(x) + 1` is a matrix, it must be of type logical.
Code
print_error(abort_subset_matrix_must_have_same_dimensions(quote(t(is.na(x)))))
Output
<error/tibble_error_subset_matrix_must_have_same_dimensions>
Error:
! Subscript `t(is.na(x))` is a matrix, it must have the same dimensions as the input.
Code
print_error(abort_subset_matrix_scalar_type(quote(is.na(x)), quote(
new_environment())))
Output
<error/tibble_error_subset_matrix_scalar_type>
Error:
! Subscript `is.na(x)` is a matrix, the data `new_environment()` must be a vector of size 1.
Code
print_error(abort_subset_matrix_must_be_scalar(quote(is.na(x)), quote(1:3)))
Output
<error/tibble_error_subset_matrix_must_be_scalar>
Error:
! Subscript `is.na(x)` is a matrix, the data `1:3` must have size 1.
Code
# # tibble
print_error(abort_tibble_row_size_one(3, "foo", 7))
Output
<error/tibble_error_tibble_row_size_one>
Error:
! All vectors must be size one, use `list()` to wrap.
x Column `foo` is of size 7.
Code
print_error(abort_incompatible_size(10, letters[1:3], c(4, 4, 3),
"Requested with `uvw` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 10: Requested with `uvw` argument.
* Size 3: Column `c`.
* Size 4: Columns `a` and `b`.
i Only values of size one are recycled.
Code
print_error(abort_incompatible_size(10, letters[1:3], c(2, 2, 3),
"Requested with `xyz` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 10: Requested with `xyz` argument.
* Size 2: Columns `a` and `b`.
* Size 3: Column `c`.
i Only values of size one are recycled.
Code
print_error(abort_incompatible_size(NULL, letters[1:3], c(2, 2, 3),
"Requested with `xyz` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 2: Columns `a` and `b`.
* Size 3: Column `c`.
i Only values of size one are recycled.
Code
print_error(abort_incompatible_size(10, 1:3, c(4, 4, 3),
"Requested with `uvw` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 10: Requested with `uvw` argument.
* Size 3: Column at position 3.
* Size 4: Columns at positions 1 and 2.
i Only values of size one are recycled.
Code
print_error(abort_incompatible_size(10, 1:3, c(2, 2, 3),
"Requested with `xyz` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 10: Requested with `xyz` argument.
* Size 2: Columns at positions 1 and 2.
* Size 3: Column at position 3.
i Only values of size one are recycled.
Code
print_error(abort_incompatible_size(NULL, 1:3, c(2, 2, 3),
"Requested with `xyz` argument"))
Output
<error/tibble_error_incompatible_size>
Error:
! Tibble columns must have compatible sizes.
* Size 2: Columns at positions 1 and 2.
* Size 3: Column at position 3.
i Only values of size one are recycled.
Code
# # tribble
print_error(abort_tribble_needs_columns())
Output
<error/tibble_error_tribble_needs_columns>
Error:
! Must specify at least one column using the `~name` syntax.
Code
print_error(abort_tribble_lhs_column_syntax(quote(lhs)))
Output
<error/tibble_error_tribble_lhs_column_syntax>
Error:
! All column specifications must use the `~name` syntax.
x Found `lhs` on the left-hand side of `~`.
Code
print_error(abort_tribble_rhs_column_syntax(quote(a + b)))
Output
<error/tibble_error_tribble_rhs_column_syntax>
Error:
! All column specifications must use the `~name` or `~"name"` syntax.
x Found `a + b` on the right-hand side of `~`.
Code
print_error(abort_tribble_non_rectangular(5, 17))
Output
<error/tibble_error_tribble_non_rectangular>
Error:
! Data must be rectangular.
* Found 5 columns.
* Found 17 cells.
i 17 is not an integer multiple of 5.
Code
print_error(abort_frame_matrix_list(2:4))
Output
<error/tibble_error_frame_matrix_list>
Error:
! All values must be atomic.
x Found list-valued elements at positions 2, 3, and 4.
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