Return summary of open Github Issues
Examples
get_issues("FRAMverse/framrsquared")
#> title
#> 1 Add window RMSD convergence calculator for TAMM convergence
#> 2 add Coho bkFRAM automation tool
#> 3 update validations to use validatr where appropriate
#> 4 Update initialize_project()
#> 5 Conversations to have with the FRAM team.
#> 6 Make function so simulate runs using LHS
#> 7 make_batch_runs should return the ids of the new runs
#> 8 Add better error to make_batch_run if tamm file doesn't exist
#> 9 Set `label = FALSE` as default for fetch_data
#> 10 Work on framrsquared cheatsheet
#> 11 Check that functions don't break when exposed to a mixed species database
#> 12 Communicate 0.8.2 release
#> 13 Add combined filter handling
#> 14 consistent verbose/quiet args
#> 15 Update compare_runs with extra quota info
#> 16 Tradeoff matrix / plot for sport fisheries/timesteps
#> 17 Clean up formatting
#> 18 Add tribal vs nontribal filtering
#> 19 Update postseason function to be explicit it its `across` call.
#> 20 Add documentation for luts included in package?
#> 21 bk_fram_checks_coho() SFRS
#> 22 bk_fram_checks - remove coastal iteration check going backwards
#> 23 Add "Merge Coho Ocean Options" script as function
#> 24 plot_impacts_per_catch_heatmap does not grid well when timesteps are missing
#> 25 Update `plot_stock_comp` to handle Chinook
#> 26 Function which replicates merge ocean option code
#> 27 filter_wa() isn't working right for Chinook
#> 28 Add safety net to fishery scalers writing
#> 29 Update copy_fishery_scalers for more robustness
#> 30 Lock down stock tables to use only one species
#> 31 Add function to zero out one or more fisheries
#> 32 Commercial net filter misbehaving
#> 33 Do we want "populate VS SFRS" functionality?
#> 34 filter_union() and filter_invert()
#> 35 compare_fishery_inputs()
#> 36 update compare_runs to clarify fisheries whose inputs are not directly determined
#> 37 Add ER calculation function
#> 38 compare_* functions won't work on transfer databases
#> 39 Stock filtering
#> 40 Add `describe_data` functionality
#> 41 Replicate Derek's mortality aggregation tool
#> body
#> 1 <img width="662" height="314" alt="Image" src="https://github.com/user-attachments/assets/eff6c8b...
#> 2 the Coho bkFRAM process involves\n(a) saving current values for some fisheries / escapements\n(b) r...
#> 3
#> 4 - The compiling of quarto docs buries them pretty deep. Have them save in a clearer location\n- Co...
#> 5 I want to check in with the FRAM team on the following items to get consensus before finalizing 0...
#> 6 Elaboration on our sensitivity analyses functions. Users identify the timestep x fisheries they w...
#> 7
#> 8 Currently run copying happens first, and error seems to be silent!
#> 9
#> 10
#> 11 I've created the following files, and want to confirm that functions either error correctly or pr...
#> 12 Goal: barebones framverse website, make a blog post on the changes with this release. Aiming for ...
#> 13 - Filter_union() --> takes two filters, use the alternative return approach to create a new vecto...
#> 14
#> 15 Currently when a flag changes, compare_runs reports the flag but not if the corresponding values ...
#> 16 Show costs of changes to one fishery on another fishery. Should just be ratio of values in the im...
#> 17 I haven't been using lintR or the format cleaning plugin. I should apply that across the board to...
#> 18 From Collin: brainstorm a LUT with any relevant terms, and we can build a filtering function (or ...
#> 19
#> 20 Only used internally and not exported, but probably helpful to include for future dev info.
#> 21 Add a check to make sure the stock fishery rate scalers match between the forward and backward ru...
#> 22 https://github.com/FRAMverse/framrsquared/blob/c838dc922c195275ad9a84701294eebaf118fbdb/R/post_se...
#> 23 Request from @sthurner11. The following is a script used by coho modelers to transfer ocean optio...
#> 24 Try custom filtering to commercial WA net -- end up with a 2x2 grid, but the "timesteps" axis sho...
#> 25 Right now the assignment of stock groups is using a LUT for coho only.
#> 26 During preseason we copy the ocean options into our NOF runs using 'merge ocean option' R code --...
#> 27 Includes fisheries like central OR Troll and Sport, So Calif Troll and Sport.
#> 28 For chinook, warn if making any changes to the fisheries that are overwritten by the TAMM tami ta...
#> 29 Currently copy_fishery_scalers uses an "Update" call. This can give screwy behavior when the numb...
#> 30 As appropriate.
#> 31 - Would be very useful to be able to zero out individual fishery (or fisheries) programmatically....
#> 32 The fishery_ids used in `filter_commercial_wa_nt()` are wrong.
#> 33 Working with @sthurner11 on making the VS Input Template from the final run this year. The final ...
#> 34 Currently we can layer filters to look at the intersection of filters (filter_wa() |> filter_net(...
#> 35 Failing to pick up changes in inputs where the flag has changed e.g. a fishery input with a scal...
#> 36 Many of the treaty fisheries have harvests that are based on terminal run size. When we change ot...
#> 37 Add function to calculate ERs directly.
#> 38 I was trying to use the compare functions on a transfer file with two runs in it, and most of the...
#> 39 @cbedwards-dfw \r\n\r\nIt'd be a good idea to have stock filtering as well as the fishery filtering f...
#> 40 From conversation with @Ty-WDFW on 12/13/24. Add `describe_data()` functionality. Goal is to be a...
#> 41 Derek has an excel-based tool that uses some complex logic and pivot tables to summarize mortalit...
#> date link
#> 1 2026-09-16 https://github.com/FRAMverse/framrsquared/issues/201
#> 2 2026-07-29 https://github.com/FRAMverse/framrsquared/issues/190
#> 3 2026-06-04 https://github.com/FRAMverse/framrsquared/issues/189
#> 4 2026-05-07 https://github.com/FRAMverse/framrsquared/issues/188
#> 5 2026-05-05 https://github.com/FRAMverse/framrsquared/issues/187
#> 6 2026-05-05 https://github.com/FRAMverse/framrsquared/issues/186
#> 7 2026-05-01 https://github.com/FRAMverse/framrsquared/issues/185
#> 8 2026-04-30 https://github.com/FRAMverse/framrsquared/issues/184
#> 9 2026-04-28 https://github.com/FRAMverse/framrsquared/issues/183
#> 10 2026-04-28 https://github.com/FRAMverse/framrsquared/issues/182
#> 11 2026-04-23 https://github.com/FRAMverse/framrsquared/issues/180
#> 12 2026-04-23 https://github.com/FRAMverse/framrsquared/issues/178
#> 13 2026-04-11 https://github.com/FRAMverse/framrsquared/issues/173
#> 14 2026-03-31 https://github.com/FRAMverse/framrsquared/issues/159
#> 15 2026-03-27 https://github.com/FRAMverse/framrsquared/issues/155
#> 16 2026-03-23 https://github.com/FRAMverse/framrsquared/issues/151
#> 17 2026-03-18 https://github.com/FRAMverse/framrsquared/issues/147
#> 18 2026-03-06 https://github.com/FRAMverse/framrsquared/issues/135
#> 19 2026-02-24 https://github.com/FRAMverse/framrsquared/issues/129
#> 20 2026-02-20 https://github.com/FRAMverse/framrsquared/issues/127
#> 21 2026-02-11 https://github.com/FRAMverse/framrsquared/issues/123
#> 22 2026-02-11 https://github.com/FRAMverse/framrsquared/issues/122
#> 23 2026-01-08 https://github.com/FRAMverse/framrsquared/issues/117
#> 24 2025-12-09 https://github.com/FRAMverse/framrsquared/issues/115
#> 25 2025-11-26 https://github.com/FRAMverse/framrsquared/issues/112
#> 26 2025-11-24 https://github.com/FRAMverse/framrsquared/issues/110
#> 27 2025-11-21 https://github.com/FRAMverse/framrsquared/issues/108
#> 28 2025-11-03 https://github.com/FRAMverse/framrsquared/issues/106
#> 29 2025-10-14 https://github.com/FRAMverse/framrsquared/issues/101
#> 30 2025-10-10 https://github.com/FRAMverse/framrsquared/issues/100
#> 31 2025-09-08 https://github.com/FRAMverse/framrsquared/issues/99
#> 32 2025-04-28 https://github.com/FRAMverse/framrsquared/issues/89
#> 33 2025-04-21 https://github.com/FRAMverse/framrsquared/issues/85
#> 34 2025-04-13 https://github.com/FRAMverse/framrsquared/issues/81
#> 35 2025-03-28 https://github.com/FRAMverse/framrsquared/issues/77
#> 36 2025-03-13 https://github.com/FRAMverse/framrsquared/issues/75
#> 37 2025-02-11 https://github.com/FRAMverse/framrsquared/issues/71
#> 38 2025-01-07 https://github.com/FRAMverse/framrsquared/issues/68
#> 39 2024-12-27 https://github.com/FRAMverse/framrsquared/issues/60
#> 40 2024-12-13 https://github.com/FRAMverse/framrsquared/issues/52
#> 41 2024-12-11 https://github.com/FRAMverse/framrsquared/issues/50
get_issues("tidyverse/dplyr")
#> title
#> 1 filter_out() without args removes all rows
#> 2 Unexpected behavior of pick() as compared to cur_data() related to list columns: with rowwise(), pick() generates tibbles with more than one row
#> 3 unexpected behaviour of summarise with n(), everything() and logical tests
#> 4 Incorrect translation to |>
#> 5 Feature request: make unmatched = "error" the default for mutating joins
#> 6 `pull()` interprets subtraction between column names as subtraction between column positions
#> 7 When reusing argument names in `summarise()` to build a complex expression, the length of intermediate expressions is considered
#> 8 Should we have AI specific warnings?
#> 9 FR: `if_any(.empty="keep")`
#> 10 Should `cbind` and `rbind` be mentionned in dplyr <-> base R?
#> 11 `filter()` documentation should refer to `if_any()` or `if_all()` for across-like filtering
#> 12 Add ellipsis to `tally()` and `add_tally()`
#> 13 Argument inconsistency between `case_when()` and `recode_values()`/`replace_values()`
#> 14 no error or warning on incorrect usage of `between()`
#> 15 dplyr verbs remove attributes of classed columns
#> 16 Stop exporting `data_frame()` and `as_data_frame()` from tibble?
#> 17 Across gives unclear error when function returns incorrect length output
#> 18 slice_sample does not restrict sampling to n() within a group when replace=TRUE.
#> 19 Deprecate `sql_*` and `db_*`
#> 20 Using related columns in `cur_column()` with `across()`
#> 21 count function needs guard rails that name shouldn't be an existing column
#> 22 Add `bounds` to `dplyr::between()`
#> 23 `between()` doesn't work if `x` is `Date` and `left` and `right` are character
#> 24 Make `add_tally()` S3 generic?
#> 25 Internal error in `summarise()`
#> 26 `across(.names =)` evaluates `"{col}"` as if it was `"{.col}"`
#> 27 `tbl_vars()` accesses `nrow()` unnecessarily
#> 28 reframe with across returns an unhelpful error message
#> 29 `Mutating joins` relationship documentation issues
#> 30 `count(.by = )`
#> 31 Show methods implemented by loaded packages more prominently
#> 32 filter should warn or prevent users from using named logical inputs
#> 33 dplyr::cur_column don't support dtplyr
#> 34 Join list of data frames
#> 35 across(), but over two sets of vector
#> 36 Split `join_cols()`
#> 37 `dplyr_reconstruct` can create data.table with corrupted secondary index
#> 38 Should `desc()` use `vec_rank()` internally on character vectors?
#> 39 `rowwise()` and empty input
#> 40 FR: allow `pick()` to rename in `distinct()` + some thoughts about `arrange()` allowing renaming.
#> 41 In `select` `!` and `-` work differently
#> 42 Variable scoping issue with .data inside lambda Ffunction used in across()
#> 43 c_across() docs imply a dependency on rowwise()
#> 44 `summarise()` and `reframe()` turns warnings from inside functions as errors
#> 45 Clarity of "duplicated" error message in `rename_with()`
#> 46 Internal: slightly inaccurate `as_join_by()` implementation for character
#> 47 Request non-equal join: closest() supports dual-sided inequality <>
#> 48 Add `tidypolars` to the list of backends?
#> 49 perfromance slowdown using across within mutate
#> 50 arrange not reporting syntax errors on .by_group
#> 51 A better data masking indirection example in the `programming.Rmd` vignette: `filter(df, {{ var }})`
#> 52 Feature Request: In across, have function for `.names` argument
#> 53 Feature request: allow additional predicates in join_by
#> 54 Emphasize that filter(x, A, B) is not strictly the same as filter(filter(x, A), B)
#> 55 `lifecycle::last_lifecycle_warnings()` seems incompatible with dplyr warning handler
#> 56 condition handling ignores locally set options
#> 57 `Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE)`: cli_warn together with dplyr grouping results in error.
#> 58 When `.unpack = TRUE`, `.names` should delay its column name uniqueness check
#> 59 bug in `dplyr::near`?
#> 60 FR: `rows_clean()`?
#> 61 dplyr::across inappropriately rewrites dollar indexes my function code
#> 62 Unexpected interaction between rowwise and group_modify
#> 63 `mutate` superseding `transmute` should allow ordering columns
#> 64 Possible regression re. use of glue in dplyr::across
#> 65 Consider allowing `.env$` in `join_by()`
#> 66 How to adjust to different behavior of across .fn argument passing in dplyr 1.1.1 vs. 1.0.10?
#> 67 `count()` and `add_count()` could be much faster
#> 68 Reconsider re-exports from rlang
#> 69 `filter(across())` warning isn't always triggered
#> 70 `slice_max()` is quite slow for a big number of groups
#> 71 Can we improve on this `across()` error?
#> 72 `bind_rows()` on a list of data.tables creates corrupt output
#> 73 Consider `.sort = FALSE` for `summarise()`, `reframe()`, and `slice_sample()`
#> 74 `slice()` and `slice_head/tail/min/max()` should act like a `filter()` not a `reframe()`
#> 75 `mutate(.by_row =)`, `reframe(.by_row =)`, and possibly `filter(.by_row =)`
#> 76 Make `Joining with` message clickable to copy-to-clipboard
#> 77 Alternative `summarise()` groupings
#> 78 `nest_join()` upgrades
#> 79 Should joins have `.before` and `.after` arguments?
#> 80 Add `merge` indicator after a join
#> 81 `dplyr::group_by_prepare()` does not work with lazy tables and `across()`
#> 82 Add argument `na_matches = c("na", "never")` to `rows_*()` functions
#> 83 Remove lazy eval fallbacks (>= Sept 2023)
#> 84 Add dplyr_sticky_cols() or similar
#> 85 Move database generics to dbplyr
#> 86 Better way to handle name collisions in joins
#> body
#> 1 When `filter_out()` is given no args it removes all rows from the input, rather than returning th...
#> 2 Summary: if a tibble has a list column, and elements of that list column are vectors/lists with m...
#> 3 I'm getting some unexpected results with summarise() with across() everything() when the function...
#> 4 https://github.com/tidyverse/dplyr/blob/d5e94e7fa8fd4a5f79c1a707d1842216bb4c691f/data-raw/starwar...
#> 5 Or an even better solution suggested below, but see my reasoning first. Feature request in title ...
#> 6 Hi, \n\nThis is a minor bug, but it could lead to potential errors.\n\nI was trying to one-line pull ...
#> 7 I am not sure if this is a bug or not, but it surprised me when I was implementing https://github...
#> 8 Consider this warning message about multiple matches in joins\n\nhttps://github.com/tidyverse/dplyr...
#> 9 Hi,\n\nSince https://github.com/tidyverse/dplyr/issues/7059, zero-length selection in `if_any()` yi...
#> 10 Is it possible to include the `bind_cols` and `bind_rows` functions in the R base and tidyverse c...
#> 11 Hiya! Was just explaining to someone else how to resolve bugs caused by the [deprecation of using...
#> 12 The `wt`, `sort` and `name` arguments should be behind an ellipsis, like for `count()` and simila...
#> 13 Hello, I am excited about the new dplyr verbs `recode_values()` and `replace_values()` and have b...
#> 14 The main title of the function reads "Detect where values fall in a specified range" which, if yo...
#> 15 ## Problem description\n\nHi, \n\nThis issue is based on https://github.com/tidyverse/dplyr/issues/76...
#> 16 they were deprecated in tibble 2.0, (2019) and create a bit of noise in the autocomplete. Removin...
#> 17 In the example below, the function gives a 2-length result for a 1-length input. (My real case to...
#> 18 I've been playing around with slice_sample on grouped data frames for bootstrapping. The document...
#> 19 The next version of dbplyr will no longer need them (https://github.com/tidyverse/dbplyr/pull/165...
#> 20 Hello!\nI would like to write code with dplyr + across. for this:\n\nWhere x = x_1 + x_2, y = y_1 + ...
#> 21 If you use the count function and set name to be one of the existing columns you are tabulating o...
#> 22 The docs of `between()` say:\n\n `This is a shortcut for x >= left & x <= right`\n\nIt would be nic...
#> 23 The docs of `between()` say:\n\n> This is a shortcut for `x >= left & x <= right`\n\nHowever, `betwee...
#> 24 `count()`, `add_count()`, and `tally()` are generics but `add_tally()` is not:\n\n``` r\nsloop::is_s...
#> 25 ``` r\nlibrary(dplyr)\n\npenguins |>\n summarize(\n .by = species,\n across(everything(), identi...
#> 26 It doesn't seem to be the expected behavior according to the documentation.\n\n``` r\ncol <- "foo"\n\n...
#> 27 This currently affects joins with `library(duckplyr)` . I can work around, perhaps we find a nice...
#> 28 When I call `reframe` with `across` and the length of the output is not consistent, the error mes...
#> 29 `Mutate-joins (dplyr)` documentation says:\n\n```\nrelationship\n\nHandling of the expected relationsh...
#> 30 I accidentally used the syntax below, and wonder if this should be the default recommended one, o...
#> 31 Example: if dbplyr is loaded, `?mutate` would contain a link to `?dbplyr::mutate.tbl_lazy` .\n\nPre...
#> 32 Currently dplyr warns users who accidentally use `=` instead of `==`. \nHowever, this does not occ...
#> 33 Please run these codes, and it will yeild an error message.\n```\na <- data.frame(x1 =c(0, 1), x2 =...
#> 34 I have encounter with the necessity of joining several tibbles, which i have nested in a list. Th...
#> 35 Sometimes, when doing data wrangling, you need to apply functions not only on multiple columns, b...
#> 36 Currently, `join_cols()` is called by `join_filter()` but is doing too much. The `$out` component...
#> 37 ## Problem\r\n\r\nThanks @AMDraghici for your suggestions!\r\n\r\nFor example, in `bind_rows`, if the fir...
#> 38 See https://github.com/tidyverse/dplyr/issues/7044\r\n\r\nIn particular, note that `arrange(df, x)` w...
#> 39 Should we guarantee that the functions used in a rowwise `mutate()` or `summarize()` or `reframe(...
#> 40 This would be useful in packages to avoid cran warnings as `pick()` is the new preferred way.\r\n\r\n...
#> 41 I'm not sure if this is intended behaviour but it came up in a recent training session and wasn't...
#> 42 Hello,\r\n\r\nThis error was driving me crazy and took me a while to isolate it. \r\nif one wants to us...
#> 43 I find the docs for `c_across()` imply the requirement for a `rowwise()` call which isn't require...
#> 44 Please briefly describe your problem and what output you expect. If you have a question, please d...
#> 45 Hi, \r\n\r\nWhen using `rename_with()` and ending with duplicated column names, the error message te...
#> 46 ``` r\r\nwaldo::compare(dplyr:::as_join_by("a"), dplyr::join_by(a == a))\r\n#> `old$exprs[[1]]`: `"a"...
#> 47 For example, I now have the following Table 1 and Table 2. I want to find a `value2` from both si...
#> 48 Hello, I've been working on [`tidypolars`](https://tidypolars.etiennebacher.com/) for a few month...
#> 49 I believe this is an unexplored performance issue, seemingly relating to dplyr::expand_across\r\n\r\n...
#> 50 Hello,\r\n\r\nWhen using `arrange` on grouped data (and wanting to respect the grouping), we need to ...
#> 51 This code does not work:\r\n```r\r\nf <- function(df, var) filter(df, {{ var }})\r\nf(mtcars, am)\r\n# Er...
#> 52 One common thing that I want to do in the `dplyr` workflow is take a set of variables, apply some...
#> 53 `join_by` refuses to handle any predicates it doesn't recognize:\r\n\r\n```\r\nExpressions must use one...
#> 54 Have had to re-confirm this for myself a few times:\r\n\r\n```r\r\nfilter(mtcars, cyl < max(cyl), hp < ...
#> 55 i.e. it tells you to run the lifecycle function, but there is no warning there:\r\n\r\n``` r\r\nlibrary...
#> 56 Maybe because of a delayed evaluation issue ?\r\n\r\n``` r\r\nbugged <- function() {\r\n withr::local_op...
#> 57 Hi,\r\n\r\nit took me a while to get to this (very artificial) reduced example, but I managed to get ...
#> 58 Extracted from https://github.com/tidyverse/dplyr/issues/6933\r\n\r\nSometimes the function you apply...
#> 59 Is the following example a bug in `near`?\r\n```r\r\n> near(1.1 * 100 * 10^200, 110 * 10^200)\r\n[1] FA...
#> 60 Do we want to add a function that clears all rows to the `rows_*()` family? For data frames, this...
#> 61 I was getting a weird error inside the `mutate(across(...))` (see reprex), and by closely reading...
#> 62 It appears that after an application of `rowwise` the behavior of `group_modify` differs from tha...
#> 63 I recently noticed that `transmute` has been marked as superseded by `mutate(.keep="none")`. Howe...
#> 64 This is discussed in https://twitter.com/mjskay/status/1660770865087148032\r\n\r\nEssentially, users ...
#> 65 Motivated by https://github.com/tidyverse/dplyr/issues/6821\r\n\r\n``` r\r\nlibrary(dplyr, warn.conflic...
#> 66 I have a summarizing function that's similar to the function below. It allows the user to pass gr...
#> 67 Right now these eventually just do `summarise(n = n())` or `mutate(n = n())` at some point, but t...
#> 68 Can we start to un-export any of these https://github.com/tidyverse/dplyr/blob/main/R/utils-tidy-...
#> 69 Between 1.0.7 and 1.1.0 `filter()` stopped taking matrices, per #5973. [NEWS for dplyr 1.0.8](htt...
#> 70 It has gotten better after installing the dev version of dplyr (before a lot of time was wasted i...
#> 71 ``` r\r\nlibrary(dplyr)\r\n\r\ndf <- tibble(x = 1:2, y = 3:4)\r\n\r\nfn <- function(col) {\r\n stop("oh no")...
#> 72 \r\nwhen using bind_rows on a list of data.tables with keys, with either map_dfr or a do.call, the ...
#> 73 With the introduction of `.by`, we no longer sort group keys automatically. There are a whole hos...
#> 74 Note that this `filter()` call keeps the groups of `x` separated. i.e. the groups of `2` and `1`...
#> 75 Related to https://github.com/tidyverse/dplyr/issues/4723\r\n\r\nWith the introduction of `.by`, it s...
#> 76 Hi,\r\n\r\ndplyr 1.1.0 seems like it is going to be great (I installed the dev version with `pak::[pa...
#> 77 Related to\r\nhttps://github.com/tidyverse/dplyr/issues/14\r\nhttps://github.com/tidyverse/dplyr/issu...
#> 78 In some recent exploration of `nest_join()`, I've decided that it is lacking some features that w...
#> 79 To match `mutate()`
#> 80 A prior iteration of this request was [closed and locked as old](https://github.com/tidyverse/dpl...
#> 81 ``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\nlibrary(rlang)\r\ndf <- mtcars\r\ndt <- dtplyr::lazy_d...
#> 82 Like the `*_join()` functions the `rows_*()` functions should get an argument `na_matches = c("na...
#> 83 They shouldn't be needed anymore, and they make the error messages unnecessarily confusing. (Have...
#> 84 So that when you implement a tibble subclass with sticky columns, you don't need to add a new `se...
#> 85 Deprecate database generics, following strategy in https://github.com/tidyverse/design/issues/106...
#> 86 Currently, non-join columns available in both tables are given suffixes `.x` and `.y` . Occasiona...
#> date link
#> 1 2026-09-07 https://github.com/tidyverse/dplyr/issues/7855
#> 2 2026-09-01 https://github.com/tidyverse/dplyr/issues/7854
#> 3 2026-08-28 https://github.com/tidyverse/dplyr/issues/7853
#> 4 2026-08-12 https://github.com/tidyverse/dplyr/issues/7852
#> 5 2026-07-30 https://github.com/tidyverse/dplyr/issues/7851
#> 6 2026-07-14 https://github.com/tidyverse/dplyr/issues/7849
#> 7 2026-06-11 https://github.com/tidyverse/dplyr/issues/7845
#> 8 2026-05-18 https://github.com/tidyverse/dplyr/issues/7838
#> 9 2026-04-10 https://github.com/tidyverse/dplyr/issues/7831
#> 10 2026-03-23 https://github.com/tidyverse/dplyr/issues/7822
#> 11 2026-03-09 https://github.com/tidyverse/dplyr/issues/7816
#> 12 2026-02-21 https://github.com/tidyverse/dplyr/issues/7812
#> 13 2026-02-07 https://github.com/tidyverse/dplyr/issues/7806
#> 14 2026-01-17 https://github.com/tidyverse/dplyr/issues/7792
#> 15 2026-01-04 https://github.com/tidyverse/dplyr/issues/7787
#> 16 2025-12-22 https://github.com/tidyverse/dplyr/issues/7786
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#> 81 2022-02-01 https://github.com/tidyverse/dplyr/issues/6170
#> 82 2021-09-17 https://github.com/tidyverse/dplyr/issues/6022
#> 83 2020-10-26 https://github.com/tidyverse/dplyr/issues/5573
#> 84 2020-06-01 https://github.com/tidyverse/dplyr/issues/5290
#> 85 2019-12-13 https://github.com/tidyverse/dplyr/issues/4663
#> 86 2018-12-17 https://github.com/tidyverse/dplyr/issues/4028