##
## .
## ":"
## ___:____ |"\/"|
## ,' `. \ /
## | O \___/ |
## ~^~^~^~^~^~^~^~^~^~^~^~^~
## framrsquared 0.8.1
## Summarizing the status of a package
These functions provide information about github repositories. They
are intended for use in looking at R packages, but all of them except
summarize_repository() work on non-package repositories as
well.
summarize_repository() is the primary tool here. It
provides information on
- the active branches (aside from the
gh-pagesbranch, which is used for pkgdown documentation sites) and when they were last updated, with links - the open Issues, when they were posted, the start of the initial issue description, with links
- the open Pull Requests, with equivalent information
- any dependencies on non-cran packages
These packages do not need to be installed. Instead, provide the identifier parts of the github repository url: the owner and the repository name.
summarize_repository("FRAMverse/framrsquared")## $repo
## [1] "framrsquared"
##
## $repo_address
## [1] "FRAMverse/framrsquared"
##
## $repo_description
## [1] "R Package interfacing with the FRAM databases"
##
## $repo_long_summary
## [1] "A convenient tool for interfacing with FRAM access databases"
##
## $branch_activity
## branch most_recent_update
## 1 main 2026-02-03
## 2 dev 2026-01-28
## 3 add/nr/checking 2025-11-24
## 4 improve/modify/table 2025-10-31
## 5 nuke/fishery 2025-10-23
## 6 add/copy_runs 2025-10-13
## 7 add/sensitivity 2025-10-07
## 8 add/taaetrs 2025-09-05
## 9 add/stock_comp_graph 2025-05-14
## 10 add/fate_function 2025-04-23
## 11 fix/run_info 2025-04-23
## 12 add/mortality/comparison 2025-04-21
## 13 refactor/compares 2025-04-21
## 14 update/filter/species/handling 2025-04-21
## 15 fix/compare/runs 2025-04-04
## 16 add/stock/proportions 2025-03-19
## 17 refactor/post_season 2025-01-02
## 18 update/documentation 2024-11-01
## 19 minortweaks 2024-10-10
## link
## 1 https://github.com/FRAMverse/framrsquared/tree/main
## 2 https://github.com/FRAMverse/framrsquared/tree/dev
## 3 https://github.com/FRAMverse/framrsquared/tree/add/nr/checking
## 4 https://github.com/FRAMverse/framrsquared/tree/improve/modify/table
## 5 https://github.com/FRAMverse/framrsquared/tree/nuke/fishery
## 6 https://github.com/FRAMverse/framrsquared/tree/add/copy_runs
## 7 https://github.com/FRAMverse/framrsquared/tree/add/sensitivity
## 8 https://github.com/FRAMverse/framrsquared/tree/add/taaetrs
## 9 https://github.com/FRAMverse/framrsquared/tree/add/stock_comp_graph
## 10 https://github.com/FRAMverse/framrsquared/tree/add/fate_function
## 11 https://github.com/FRAMverse/framrsquared/tree/fix/run_info
## 12 https://github.com/FRAMverse/framrsquared/tree/add/mortality/comparison
## 13 https://github.com/FRAMverse/framrsquared/tree/refactor/compares
## 14 https://github.com/FRAMverse/framrsquared/tree/update/filter/species/handling
## 15 https://github.com/FRAMverse/framrsquared/tree/fix/compare/runs
## 16 https://github.com/FRAMverse/framrsquared/tree/add/stock/proportions
## 17 https://github.com/FRAMverse/framrsquared/tree/refactor/post_season
## 18 https://github.com/FRAMverse/framrsquared/tree/update/documentation
## 19 https://github.com/FRAMverse/framrsquared/tree/minortweaks
##
## $issues
## title
## 1 Write complete test suite
## 2 plot_stock_mortality_time_step() bug
## 3 Add "Merge Coho Ocean Options" script as function
## 4 plot_impacts_per_catch_heatmap does not grid well when timesteps are missing
## 5 add ability to specify mappings for compare_database
## 6 Update `plot_stock_comp` to handle Chinook
## 7 Function which replicates merge ocean option code
## 8 filter_wa() isn't working right for Chinook
## 9 `filter_flag()` is a safety function, but getting pulled into filter section of pkgdown site.
## 10 Add safety net to fishery scalers writing
## 11 Add safety net to fishery scalers table reading
## 12 modify_table() needs help changing characters
## 13 Update copy_fishery_scalers for more robustness
## 14 Lock down stock tables to use only one species
## 15 Add function to zero out one or more fisheries
## 16 Commercial net filter misbehaving
## 17 Do we want "populate VS SFRS" functionality?
## 18 Function to summarize non-retention impacts in sport fisheries for specified stock
## 19 filter_union() and filter_invert()
## 20 compare_fishery_inputs()
## 21 update compare_runs to clarify fisheries whose inputs are not directly determined
## 22 Add ER calculation function
## 23 compare_* functions won't work on transfer databases
## 24 Stock filtering
## 25 Add `describe_data` functionality
## 26 Replicate Derek's mortality aggregation tool
## body
## 1 Use `testthat::skip_if_not()` to skip tests when the test databases ar...
## 2 Yi was experiencing issues with a preseason chinook database when run...
## 3 Request from @sthurner11. The following is a script used by coho model...
## 4 Try custom filtering to commercial WA net -- end up with a 2x2 grid, b...
## 5 currently compare_database() assumes run_ids match between the two dat...
## 6 Right now the assignment of stock groups is using a LUT for coho only.
## 7 During preseason we copy the ocean options into our NOF runs using 'me...
## 8 Includes fisheries like central OR Troll and Sport, So Calif Troll and...
## 9
## 10 For chinook, warn if making any changes to the fisheries that are over...
## 11 The fishery scalers table can be misleading to look at -- we might hav...
## 12 Currently `modify_table()` cannot replace character strings (and likel...
## 13 Currently copy_fishery_scalers uses an "Update" call. This can give sc...
## 14 As appropriate.
## 15 - Would be very useful to be able to zero out individual fishery (or f...
## 16 The fishery_ids used in `filter_commercial_wa_nt()` are wrong.
## 17 Working with @sthurner11 on making the VS Input Template from the fina...
## 18 Tool to help us identify other-target fisheries that are impacting a s...
## 19 Currently we can layer filters to look at the intersection of filters ...
## 20 Failing to pick up changes in inputs where the flag has changed e.g. ...
## 21 Many of the treaty fisheries have harvests that are based on terminal ...
## 22 Add function to calculate ERs directly.
## 23 I was trying to use the compare functions on a transfer file with two ...
## 24 @cbedwards-dfw \r\n\r\nIt'd be a good idea to have stock filtering as well...
## 25 From conversation with @Ty-WDFW on 12/13/24. Add `describe_data()` fun...
## 26 Derek has an excel-based tool that uses some complex logic and pivot t...
## date link
## 1 2026-01-21 https://github.com/FRAMverse/framrsquared/issues/120
## 2 2026-01-15 https://github.com/FRAMverse/framrsquared/issues/119
## 3 2026-01-08 https://github.com/FRAMverse/framrsquared/issues/117
## 4 2025-12-09 https://github.com/FRAMverse/framrsquared/issues/115
## 5 2025-12-08 https://github.com/FRAMverse/framrsquared/issues/113
## 6 2025-11-26 https://github.com/FRAMverse/framrsquared/issues/112
## 7 2025-11-24 https://github.com/FRAMverse/framrsquared/issues/110
## 8 2025-11-21 https://github.com/FRAMverse/framrsquared/issues/108
## 9 2025-11-20 https://github.com/FRAMverse/framrsquared/issues/107
## 10 2025-11-03 https://github.com/FRAMverse/framrsquared/issues/106
## 11 2025-10-30 https://github.com/FRAMverse/framrsquared/issues/105
## 12 2025-10-28 https://github.com/FRAMverse/framrsquared/issues/103
## 13 2025-10-14 https://github.com/FRAMverse/framrsquared/issues/101
## 14 2025-10-10 https://github.com/FRAMverse/framrsquared/issues/100
## 15 2025-09-08 https://github.com/FRAMverse/framrsquared/issues/99
## 16 2025-04-28 https://github.com/FRAMverse/framrsquared/issues/89
## 17 2025-04-21 https://github.com/FRAMverse/framrsquared/issues/85
## 18 2025-04-14 https://github.com/FRAMverse/framrsquared/issues/83
## 19 2025-04-13 https://github.com/FRAMverse/framrsquared/issues/81
## 20 2025-03-28 https://github.com/FRAMverse/framrsquared/issues/77
## 21 2025-03-13 https://github.com/FRAMverse/framrsquared/issues/75
## 22 2025-02-11 https://github.com/FRAMverse/framrsquared/issues/71
## 23 2025-01-07 https://github.com/FRAMverse/framrsquared/issues/68
## 24 2024-12-27 https://github.com/FRAMverse/framrsquared/issues/60
## 25 2024-12-13 https://github.com/FRAMverse/framrsquared/issues/52
## 26 2024-12-11 https://github.com/FRAMverse/framrsquared/issues/50
##
## $pull_requests
## title
## 1 Add/nr/checking
## 2 Added proper string handling to modify_db
## 3 Added 'zero_fishery()'
## 4 added two functions for comparing preseason and postseason mortalitie…
## 5 refactored to support transfer runs
## 6 Add/sensitivity
## body
## 1 Added the following functions to help identify problems with non-reten...
## 2 Addressing #103. modify_table() writes a sql query based on the condit...
## 3 Addressing #99. Adds `zero_fishery()` which 0s out the quota, scaler, ...
## 4 `create_mort_comparison()` takes a focal year and focal stock and a pr...
## 5 Addressing #68. \r\n\r\nChanged `compare_*` functions to use framrosetta t...
## 6 Linear scaling of potential inputs for sensitivity analyses. #38
## date link
## 1 2025-11-24 https://github.com/FRAMverse/framrsquared/pull/111
## 2 2025-10-29 https://github.com/FRAMverse/framrsquared/pull/104
## 3 2025-10-23 https://github.com/FRAMverse/framrsquared/pull/102
## 4 2025-01-22 https://github.com/FRAMverse/framrsquared/pull/70
## 5 2025-01-07 https://github.com/FRAMverse/framrsquared/pull/69
## 6 2024-11-04 https://github.com/FRAMverse/framrsquared/pull/43
##
## $github_dependencies
## [1] "FRAMverse/framrosetta"
summarize_repository("tidyverse/dplyr")## $repo
## [1] "dplyr"
##
## $repo_address
## [1] "tidyverse/dplyr"
##
## $repo_description
## [1] "dplyr: A grammar of data manipulation"
##
## $repo_long_summary
## [1] "A fast, consistent tool for working with data frame like"
##
## $branch_activity
## branch most_recent_update
## 1 main 2026-02-04
## 2 copilot/sub-pr-7046 2025-11-17
## 3 feature/advance-lazy 2025-11-12
## 4 feature/filter-out 2025-11-06
## 5 feature/case-family 2025-09-09
## 6 f-revdep 2025-04-16
## 7 f-lazy-always 2024-05-09
## 8 f-reconstruct-altrep 2023-09-10
## 9 f-collect-materialize 2023-08-12
## 10 f-fast-count 2023-05-29
## 11 f-marker-comments 2023-01-05
## 12 f-avoid-purge-reconstruct 2022-12-11
## 13 f-relational 2022-12-10
## 14 v1.0.10 2022-08-31
## 15 f-poc-focus 2022-08-28
## 16 f-6382-summarize-multi 2022-08-19
## 17 f-generic-dots 2022-08-19
## 18 simpler-slice-helpers 2022-08-16
## 19 db-defunct 2022-08-03
## 20 lazyeval-defunct 2022-08-01
## 21 rowwise-across 2022-07-30
## 22 f-6254-across-original 2022-05-01
## 23 f-vec-if-else-case-when 2022-02-03
## 24 arrange_0col_df 2021-12-01
## 25 mutate_grouped_attributes_6100 2021-11-30
## 26 f-tbl-sum-ellipsis 2021-10-25
## 27 f-5903-row-number-na 2021-10-20
## 28 6015_early_materialize 2021-09-16
## 29 b-rsqlite-example 2021-07-29
## 30 f-check-bionic 2021-07-29
## 31 5918_rowwise_df_subclass 2021-06-29
## 32 defunct_underscore 2021-04-20
## 33 remove_lazy_eval 2021-04-20
## 34 add_count_dplyr_reconstruct_5837 2021-04-09
## 35 vctrs_vec_order_locs 2021-03-10
## 36 v1_0_4_pkgdown 2021-02-12
## 37 1.0.4.constant 2021-02-01
## 38 bundle 2020-12-04
## 39 shiny_error_bypass 2020-11-20
## 40 rows_update_duplicate 2020-11-05
## 41 slice_num_as_location 2020-07-15
## link
## 1 https://github.com/tidyverse/dplyr/tree/main
## 2 https://github.com/tidyverse/dplyr/tree/copilot/sub-pr-7046
## 3 https://github.com/tidyverse/dplyr/tree/feature/advance-lazy
## 4 https://github.com/tidyverse/dplyr/tree/feature/filter-out
## 5 https://github.com/tidyverse/dplyr/tree/feature/case-family
## 6 https://github.com/tidyverse/dplyr/tree/f-revdep
## 7 https://github.com/tidyverse/dplyr/tree/f-lazy-always
## 8 https://github.com/tidyverse/dplyr/tree/f-reconstruct-altrep
## 9 https://github.com/tidyverse/dplyr/tree/f-collect-materialize
## 10 https://github.com/tidyverse/dplyr/tree/f-fast-count
## 11 https://github.com/tidyverse/dplyr/tree/f-marker-comments
## 12 https://github.com/tidyverse/dplyr/tree/f-avoid-purge-reconstruct
## 13 https://github.com/tidyverse/dplyr/tree/f-relational
## 14 https://github.com/tidyverse/dplyr/tree/v1.0.10
## 15 https://github.com/tidyverse/dplyr/tree/f-poc-focus
## 16 https://github.com/tidyverse/dplyr/tree/f-6382-summarize-multi
## 17 https://github.com/tidyverse/dplyr/tree/f-generic-dots
## 18 https://github.com/tidyverse/dplyr/tree/simpler-slice-helpers
## 19 https://github.com/tidyverse/dplyr/tree/db-defunct
## 20 https://github.com/tidyverse/dplyr/tree/lazyeval-defunct
## 21 https://github.com/tidyverse/dplyr/tree/rowwise-across
## 22 https://github.com/tidyverse/dplyr/tree/f-6254-across-original
## 23 https://github.com/tidyverse/dplyr/tree/f-vec-if-else-case-when
## 24 https://github.com/tidyverse/dplyr/tree/arrange_0col_df
## 25 https://github.com/tidyverse/dplyr/tree/mutate_grouped_attributes_6100
## 26 https://github.com/tidyverse/dplyr/tree/f-tbl-sum-ellipsis
## 27 https://github.com/tidyverse/dplyr/tree/f-5903-row-number-na
## 28 https://github.com/tidyverse/dplyr/tree/6015_early_materialize
## 29 https://github.com/tidyverse/dplyr/tree/b-rsqlite-example
## 30 https://github.com/tidyverse/dplyr/tree/f-check-bionic
## 31 https://github.com/tidyverse/dplyr/tree/5918_rowwise_df_subclass
## 32 https://github.com/tidyverse/dplyr/tree/defunct_underscore
## 33 https://github.com/tidyverse/dplyr/tree/remove_lazy_eval
## 34 https://github.com/tidyverse/dplyr/tree/add_count_dplyr_reconstruct_5837
## 35 https://github.com/tidyverse/dplyr/tree/vctrs_vec_order_locs
## 36 https://github.com/tidyverse/dplyr/tree/v1_0_4_pkgdown
## 37 https://github.com/tidyverse/dplyr/tree/1.0.4.constant
## 38 https://github.com/tidyverse/dplyr/tree/bundle
## 39 https://github.com/tidyverse/dplyr/tree/shiny_error_bypass
## 40 https://github.com/tidyverse/dplyr/tree/rows_update_duplicate
## 41 https://github.com/tidyverse/dplyr/tree/slice_num_as_location
##
## $issues
## title
## 1 no error or warning on incorrect usage of `between()`
## 2 dplyr verbs remove attributes of classed columns
## 3 Stop exporting `data_frame()` and `as_data_frame()` from tibble?
## 4 Across gives unclear error when function returns incorrect length output
## 5 slice_sample does not restrict sampling to n() within a group when replace=TRUE.
## 6 Deprecate `sql_*` and `db_*`
## 7 Using related columns in `cur_column()` with `across()`
## 8 count function needs guard rails that name shouldn't be an existing column
## 9 Add `bounds` to `dplyr::between()`
## 10 `between()` doesn't work if `x` is `Date` and `left` and `right` are character
## 11 Make `add_tally()` S3 generic?
## 12 Internal error in `summarise()`
## 13 `across(.names =)` evaluates `"{col}"` as if it was `"{.col}"`
## 14 `tbl_vars()` accesses `nrow()` unnecessarily
## 15 mutate() doesn't seem to signal warning conditions properly
## 16 reframe with across returns an unhelpful error message
## 17 `Mutating joins` relationship documentation issues
## 18 `count(.by = )`
## 19 Show methods implemented by loaded packages more prominently
## 20 filter should warn or prevent users from using named logical inputs
## 21 dplyr::cur_column don't support dtplyr
## 22 Join list of data frames
## 23 across(), but over two sets of vector
## 24 Split `join_cols()`
## 25 `dplyr_reconstruct` can create data.table with corrupted secondary index
## 26 Should `desc()` use `vec_rank()` internally on character vectors?
## 27 `rowwise()` and empty input
## 28 FR: allow `pick()` to rename in `distinct()` + some thoughts about `arrange()` allowing renaming.
## 29 Weird behavior with bind_rows(), mutate(), and ggeffects package
## 30 In `select` `!` and `-` work differently
## 31 Variable scoping issue with .data inside lambda Ffunction used in across()
## 32 c_across() docs imply a dependency on rowwise()
## 33 `summarise()` and `reframe()` turns warnings from inside functions as errors
## 34 Clarity of "duplicated" error message in `rename_with()`
## 35 Internal: slightly inaccurate `as_join_by()` implementation for character
## 36 Request non-equal join: closest() supports dual-sided inequality <>
## 37 Add `tidypolars` to the list of backends?
## 38 perfromance slowdown using across within mutate
## 39 arrange not reporting syntax errors on .by_group
## 40 A better data masking indirection example in the `programming.Rmd` vignette: `filter(df, {{ var }})`
## 41 Feature Request: In across, have function for `.names` argument
## 42 Feature request: allow additional predicates in join_by
## 43 Emphasize that filter(x, A, B) is not strictly the same as filter(filter(x, A), B)
## 44 `lifecycle::last_lifecycle_warnings()` seems incompatible with dplyr warning handler
## 45 condition handling ignores locally set options
## 46 `Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE)`: cli_warn together with dplyr grouping results in error.
## 47 When `.unpack = TRUE`, `.names` should delay its column name uniqueness check
## 48 bug in `dplyr::near`?
## 49 FR: `rows_clean()`?
## 50 dplyr::across inappropriately rewrites dollar indexes my function code
## 51 Unexpected interaction between rowwise and group_modify
## 52 `mutate` superseding `transmute` should allow ordering columns
## 53 Possible regression re. use of glue in dplyr::across
## 54 Consider allowing `.env$` in `join_by()`
## 55 How to adjust to different behavior of across .fn argument passing in dplyr 1.1.1 vs. 1.0.10?
## 56 `count()` and `add_count()` could be much faster
## 57 Reconsider re-exports from rlang
## 58 `filter(across())` warning isn't always triggered
## 59 `slice_max()` is quite slow for a big number of groups
## 60 Can we improve on this `across()` error?
## 61 `bind_rows()` on a list of data.tables creates corrupt output
## 62 Consider `.sort = FALSE` for `summarise()`, `reframe()`, and `slice_sample()`
## 63 `slice()` and `slice_head/tail/min/max()` should act like a `filter()` not a `reframe()`
## 64 `mutate(.by_row =)`, `reframe(.by_row =)`, and possibly `filter(.by_row =)`
## 65 Make `Joining with` message clickable to copy-to-clipboard
## 66 Alternative `summarise()` groupings
## 67 `nest_join()` upgrades
## 68 Should joins have `.before` and `.after` arguments?
## 69 Add `merge` indicator after a join
## 70 `dplyr::group_by_prepare()` does not work with lazy tables and `across()`
## 71 Add argument `na_matches = c("na", "never")` to `rows_*()` functions
## 72 Remove lazy eval fallbacks (>= Sept 2023)
## 73 Add dplyr_sticky_cols() or similar
## 74 Move database generics to dbplyr
## 75 Better way to handle name collisions in joins
## body
## 1 The main title of the function reads "Detect where values fall in a sp...
## 2 Hi, \n\nThis issue is based on https://github.com/tidyverse/dplyr/issues...
## 3 they were deprecated in tibble 2.0, (2019) and create a bit of noise i...
## 4 In the example below, the function gives a 2-length result for a 1-len...
## 5 I've been playing around with slice_sample on grouped data frames for ...
## 6 The next version of dbplyr will no longer need them (https://github.co...
## 7 Hello!\nI would like to write code with dplyr + across. for this:\n\nWher...
## 8 If you use the count function and set name to be one of the existing c...
## 9 The docs of `between()` say:\n\n `This is a shortcut for x >= left & x...
## 10 The docs of `between()` say:\n\n> This is a shortcut for `x >= left & x ...
## 11 `count()`, `add_count()`, and `tally()` are generics but `add_tally()`...
## 12 ``` r\nlibrary(dplyr)\n\npenguins |>\n summarize(\n .by = species,\n ...
## 13 It doesn't seem to be the expected behavior according to the documenta...
## 14 This currently affects joins with `library(duckplyr)` . I can work aro...
## 15 `mutate()` doesn't seem to signal named warning conditions for calling...
## 16 When I call `reframe` with `across` and the length of the output is no...
## 17 `Mutate-joins (dplyr)` documentation says:\n\n```\nrelationship\n\nHandling...
## 18 I accidentally used the syntax below, and wonder if this should be the...
## 19 Example: if dbplyr is loaded, `?mutate` would contain a link to `?dbpl...
## 20 Currently dplyr warns users who accidentally use `=` instead of `==`. ...
## 21 Please run these codes, and it will yeild an error message.\n```\na <- d...
## 22 I have encounter with the necessity of joining several tibbles, which ...
## 23 Sometimes, when doing data wrangling, you need to apply functions not ...
## 24 Currently, `join_cols()` is called by `join_filter()` but is doing too...
## 25 ## Problem\r\n\r\nThanks @AMDraghici for your suggestions!\r\n\r\nFor example,...
## 26 See https://github.com/tidyverse/dplyr/issues/7044\r\n\r\nIn particular, n...
## 27 Should we guarantee that the functions used in a rowwise `mutate()` or...
## 28 This would be useful in packages to avoid cran warnings as `pick()` is...
## 29 This is kind of a weird niche problem. The mutate function is interact...
## 30 I'm not sure if this is intended behaviour but it came up in a recent ...
## 31 Hello,\r\n\r\nThis error was driving me crazy and took me a while to isola...
## 32 I find the docs for `c_across()` imply the requirement for a `rowwise(...
## 33 Please briefly describe your problem and what output you expect. If yo...
## 34 Hi, \r\n\r\nWhen using `rename_with()` and ending with duplicated column ...
## 35 ``` r\r\nwaldo::compare(dplyr:::as_join_by("a"), dplyr::join_by(a == a))...
## 36 For example, I now have the following Table 1 and Table 2. I want to f...
## 37 Hello, I've been working on [`tidypolars`](https://tidypolars.etienneb...
## 38 I believe this is an unexplored performance issue, seemingly relating ...
## 39 Hello,\r\n\r\nWhen using `arrange` on grouped data (and wanting to respect...
## 40 This code does not work:\r\n```r\r\nf <- function(df, var) filter(df, {{ v...
## 41 One common thing that I want to do in the `dplyr` workflow is take a s...
## 42 `join_by` refuses to handle any predicates it doesn't recognize:\r\n\r\n``...
## 43 Have had to re-confirm this for myself a few times:\r\n\r\n```r\r\nfilter(mt...
## 44 i.e. it tells you to run the lifecycle function, but there is no warni...
## 45 Maybe because of a delayed evaluation issue ?\r\n\r\n``` r\r\nbugged <- func...
## 46 Hi,\r\n\r\nit took me a while to get to this (very artificial) reduced exa...
## 47 Extracted from https://github.com/tidyverse/dplyr/issues/6933\r\n\r\nSomet...
## 48 Is the following example a bug in `near`?\r\n```r\r\n> near(1.1 * 100 * 10...
## 49 Do we want to add a function that clears all rows to the `rows_*()` fa...
## 50 I was getting a weird error inside the `mutate(across(...))` (see repr...
## 51 It appears that after an application of `rowwise` the behavior of `gro...
## 52 I recently noticed that `transmute` has been marked as superseded by `...
## 53 This is discussed in https://twitter.com/mjskay/status/166077086508714...
## 54 Motivated by https://github.com/tidyverse/dplyr/issues/6821\r\n\r\n``` r\r\n...
## 55 I have a summarizing function that's similar to the function below. It...
## 56 Right now these eventually just do `summarise(n = n())` or `mutate(n =...
## 57 Can we start to un-export any of these https://github.com/tidyverse/dp...
## 58 Between 1.0.7 and 1.1.0 `filter()` stopped taking matrices, per #5973....
## 59 It has gotten better after installing the dev version of dplyr (before...
## 60 ``` r\r\nlibrary(dplyr)\r\n\r\ndf <- tibble(x = 1:2, y = 3:4)\r\n\r\nfn <- funct...
## 61 \r\nwhen using bind_rows on a list of data.tables with keys, with either...
## 62 With the introduction of `.by`, we no longer sort group keys automatic...
## 63 Note that this `filter()` call keeps the groups of `x` separated. i.e....
## 64 Related to https://github.com/tidyverse/dplyr/issues/4723\r\n\r\nWith the ...
## 65 Hi,\r\n\r\ndplyr 1.1.0 seems like it is going to be great (I installed the...
## 66 Related to\r\nhttps://github.com/tidyverse/dplyr/issues/14\r\nhttps://gith...
## 67 In some recent exploration of `nest_join()`, I've decided that it is l...
## 68 To match `mutate()`
## 69 A prior iteration of this request was [closed and locked as old](https...
## 70 ``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\nlibrary(rlang)\r\ndf <- m...
## 71 Like the `*_join()` functions the `rows_*()` functions should get an a...
## 72 They shouldn't be needed anymore, and they make the error messages unn...
## 73 So that when you implement a tibble subclass with sticky columns, you ...
## 74 Deprecate database generics, following strategy in https://github.com/...
## 75 Currently, non-join columns available in both tables are given suffixe...
## date link
## 1 2026-01-17 https://github.com/tidyverse/dplyr/issues/7792
## 2 2026-01-04 https://github.com/tidyverse/dplyr/issues/7787
## 3 2025-12-22 https://github.com/tidyverse/dplyr/issues/7786
## 4 2025-12-21 https://github.com/tidyverse/dplyr/issues/7785
## 5 2025-12-10 https://github.com/tidyverse/dplyr/issues/7781
## 6 2025-12-02 https://github.com/tidyverse/dplyr/issues/7779
## 7 2025-11-21 https://github.com/tidyverse/dplyr/issues/7774
## 8 2025-11-20 https://github.com/tidyverse/dplyr/issues/7773
## 9 2025-09-18 https://github.com/tidyverse/dplyr/issues/7712
## 10 2025-07-20 https://github.com/tidyverse/dplyr/issues/7702
## 11 2025-06-18 https://github.com/tidyverse/dplyr/issues/7695
## 12 2025-06-09 https://github.com/tidyverse/dplyr/issues/7693
## 13 2025-06-09 https://github.com/tidyverse/dplyr/issues/7692
## 14 2025-03-09 https://github.com/tidyverse/dplyr/issues/7668
## 15 2025-02-20 https://github.com/tidyverse/dplyr/issues/7663
## 16 2025-02-12 https://github.com/tidyverse/dplyr/issues/7657
## 17 2025-01-06 https://github.com/tidyverse/dplyr/issues/7622
## 18 2024-12-18 https://github.com/tidyverse/dplyr/issues/7112
## 19 2024-11-21 https://github.com/tidyverse/dplyr/issues/7106
## 20 2024-11-21 https://github.com/tidyverse/dplyr/issues/7105
## 21 2024-11-08 https://github.com/tidyverse/dplyr/issues/7102
## 22 2024-09-07 https://github.com/tidyverse/dplyr/issues/7083
## 23 2024-07-17 https://github.com/tidyverse/dplyr/issues/7056
## 24 2024-07-10 https://github.com/tidyverse/dplyr/issues/7050
## 25 2024-07-03 https://github.com/tidyverse/dplyr/issues/7048
## 26 2024-06-26 https://github.com/tidyverse/dplyr/issues/7045
## 27 2024-06-12 https://github.com/tidyverse/dplyr/issues/7039
## 28 2024-05-18 https://github.com/tidyverse/dplyr/issues/7028
## 29 2024-05-06 https://github.com/tidyverse/dplyr/issues/7019
## 30 2024-04-29 https://github.com/tidyverse/dplyr/issues/7017
## 31 2024-04-20 https://github.com/tidyverse/dplyr/issues/7016
## 32 2024-04-20 https://github.com/tidyverse/dplyr/issues/7015
## 33 2024-04-02 https://github.com/tidyverse/dplyr/issues/7008
## 34 2024-03-28 https://github.com/tidyverse/dplyr/issues/7006
## 35 2024-03-08 https://github.com/tidyverse/dplyr/issues/7001
## 36 2024-02-21 https://github.com/tidyverse/dplyr/issues/6992
## 37 2024-02-14 https://github.com/tidyverse/dplyr/issues/6991
## 38 2024-01-18 https://github.com/tidyverse/dplyr/issues/6985
## 39 2024-01-08 https://github.com/tidyverse/dplyr/issues/6980
## 40 2023-12-28 https://github.com/tidyverse/dplyr/issues/6978
## 41 2023-11-30 https://github.com/tidyverse/dplyr/issues/6972
## 42 2023-11-23 https://github.com/tidyverse/dplyr/issues/6970
## 43 2023-11-20 https://github.com/tidyverse/dplyr/issues/6968
## 44 2023-11-03 https://github.com/tidyverse/dplyr/issues/6952
## 45 2023-10-25 https://github.com/tidyverse/dplyr/issues/6943
## 46 2023-10-10 https://github.com/tidyverse/dplyr/issues/6939
## 47 2023-10-02 https://github.com/tidyverse/dplyr/issues/6934
## 48 2023-08-31 https://github.com/tidyverse/dplyr/issues/6921
## 49 2023-08-20 https://github.com/tidyverse/dplyr/issues/6915
## 50 2023-07-24 https://github.com/tidyverse/dplyr/issues/6892
## 51 2023-06-24 https://github.com/tidyverse/dplyr/issues/6870
## 52 2023-05-30 https://github.com/tidyverse/dplyr/issues/6861
## 53 2023-05-23 https://github.com/tidyverse/dplyr/issues/6853
## 54 2023-04-13 https://github.com/tidyverse/dplyr/issues/6822
## 55 2023-03-27 https://github.com/tidyverse/dplyr/issues/6809
## 56 2023-03-23 https://github.com/tidyverse/dplyr/issues/6806
## 57 2023-03-21 https://github.com/tidyverse/dplyr/issues/6802
## 58 2023-03-20 https://github.com/tidyverse/dplyr/issues/6795
## 59 2023-03-08 https://github.com/tidyverse/dplyr/issues/6783
## 60 2023-02-10 https://github.com/tidyverse/dplyr/issues/6712
## 61 2023-02-01 https://github.com/tidyverse/dplyr/issues/6676
## 62 2023-01-26 https://github.com/tidyverse/dplyr/issues/6663
## 63 2023-01-26 https://github.com/tidyverse/dplyr/issues/6662
## 64 2023-01-25 https://github.com/tidyverse/dplyr/issues/6660
## 65 2022-11-30 https://github.com/tidyverse/dplyr/issues/6580
## 66 2022-11-08 https://github.com/tidyverse/dplyr/issues/6532
## 67 2022-10-11 https://github.com/tidyverse/dplyr/issues/6497
## 68 2022-09-01 https://github.com/tidyverse/dplyr/issues/6446
## 69 2022-08-30 https://github.com/tidyverse/dplyr/issues/6435
## 70 2022-02-01 https://github.com/tidyverse/dplyr/issues/6170
## 71 2021-09-17 https://github.com/tidyverse/dplyr/issues/6022
## 72 2020-10-26 https://github.com/tidyverse/dplyr/issues/5573
## 73 2020-06-01 https://github.com/tidyverse/dplyr/issues/5290
## 74 2019-12-13 https://github.com/tidyverse/dplyr/issues/4663
## 75 2018-12-17 https://github.com/tidyverse/dplyr/issues/4028
##
## $pull_requests
## title
## 1 chore: update readme to use `.by` instead of `group_by()`
## body
## 1 Please feel free to reject this if you prefer to keep as-is. Just thou...
## date link
## 1 2026-02-04 https://github.com/tidyverse/dplyr/pull/7803
##
## $github_dependencies
## NULLsummarize_repository() uses
get_branch_activity(), get_pull_requests() and
get_issues() to populate several of its tables. Those
functions can be used on their own, and none of them rely on the
repository being an R package. Here are the current issues listed for
the “fram_doc” repository, which is used to generate our documentation
website.
get_issues("FRAMverse/fram_doc")## title
## 1 Skagit TAMM calculations
## 2 Funkiness of coastal tribe dropoff
## 3 Add FRAM run checklist
## 4 EQUATIONS
## 5 GIT COMMANDS
## body
## 1 For Skagit, the fish from the hatchery are genetically-wild-but-hatchery-reared, and it is an agr...
## 2 Steph and I spent a lot of time figuring out dropoff for Grays harbor, and I want this weird case...
## 3 Based on documents from Ty, Steph, Derek, others. Get input from the typical FRAM modelers (Yi, O...
## 4 Equations are for some reason failing to fully render when a fraction is NOT involved. A workarou...
## 5 Git command lines:\r\n@fidelicus or anyone else\r\n\r\ngit pull origin bp_documentation\r\ngit add *.Rmd\r...
## date link
## 1 2026-01-06 https://github.com/FRAMverse/fram_doc/issues/19
## 2 2025-04-14 https://github.com/FRAMverse/fram_doc/issues/18
## 3 2025-04-13 https://github.com/FRAMverse/fram_doc/issues/17
## 4 2023-09-28 https://github.com/FRAMverse/fram_doc/issues/13
## 5 2023-09-27 https://github.com/FRAMverse/fram_doc/issues/11Understanding functions within a package
codeInspectr has tools for understanding the relationships between functions in a package. Here we will explore the codeInspectr package itself with those tools.
First, we can list the functions in a package
package_functions("codeInspectr")## [1] "build_package_network" "build_recursive_edges"
## [3] "find_function_dependencies" "find_recursive_dependencies"
## [5] "find_reverse_dependencies" "get_branch_activity"
## [7] "get_issues" "get_noncran_dependencies"
## [9] "get_pull_requests" "package_functions"
## [11] "plot_function_dependencies" "summarize_repository"
## [13] "validate_character" "validate_data_frame"
## [15] "validate_flag" "validate_integer"
## [17] "validate_numeric" "validate_repository"Plotting dependency network
We can look at the network of function dependencies for a specific
function with plot_function_dependencies() Here we look at
the dependency network for summarize_repository() above.
This only shows the relationship of functions defined by the
package, not dependencies on functions from other packages
plot_function_dependencies("codeInspectr",
fun = "summarize_repository")This kind of plot can help understand how different parts of a
package interact. There is also the option to ignore functions that
match one or more regex patterns. This can be helpful for removing
validation functions that would otherwise clog up a network diagram.
Let’s take a look at one of the functions from the
framrsquared package, which has much more complicated
dependencies:
plot_function_dependencies("framrsquared",
fun = "fetch_table")Many of the functions listed here are validation functions (starting
with “validate_” that check that the provided arguments are the right
form. Typically we don’t care about these functions if we want to
understand how a function works, so it would be nice to exclude them. We
can do this with the pattern_ignore argument:
plot_function_dependencies("framrsquared",
fun = "fetch_table",
pattern_ignore = "validate_")This makes it much easier to focus on the meaningful functions.
Sometimes we may want to include the dependency on a key function,
but not clog our diagram up with the all the functions THAT depends on.
Let’s imagine we’re trying to look at how stock_fate()
works, and we already feel comfortable with the
fetch_table() and fetch_table_() functions. Or
perhaps we’re presenting this information, and we feel like the audience
either understands or doesn’t need to worry about how
fetch_table() works. Our default diagram, even excluding
the validate functions, is unnecessarily complicated:
plot_function_dependencies("framrsquared",
fun = "stock_fate",
pattern_ignore = "validate_")We can use the pattern_dont_recurse to identify
function(s) that we want to show up on the plot, but for which we don’t
want to track their dependencies:
plot_function_dependencies("framrsquared",
fun = "stock_fate",
pattern_ignore = "validate_",
pattern_dont_recurse = "fetch_table")Dependency lists
We may not want to deal with a plot, and instead just list dependencies. This can be helpful when updating code.
find_function_dependencies() finds all the functions
that the listed function depends on.
Here are the functions in codeInspectr that
summarize_repository() function uses:
find_function_dependencies("codeInspectr", fun = "summarize_repository")## [1] "get_branch_activity" "get_issues" "get_pull_requests"
## [4] "validate_repository"Optionally, we can list dependencies on all functions, including
those outside of the focal package.
include = "no operators" will (usually) exclude R operators
from the list of functions used:
find_function_dependencies("codeInspectr", fun = "summarize_repository", include = "no operators")## [1] "basename" "get_branch_activity" "get_issues"
## [4] "get_pull_requests" "grep" "gsub"
## [7] "list" "readLines" "return"
## [10] "validate_repository"while include = "all" will also list operators:
find_function_dependencies("codeInspectr", fun = "summarize_repository", include = "all")## [1] "::" "{" "<-"
## [4] "=" "$" "basename"
## [7] "get_branch_activity" "get_issues" "get_pull_requests"
## [10] "grep" "gsub" "list"
## [13] "readLines" "return" "validate_repository"We can also work the other direction: what functions in the package
depend on a focal function? For this we use
find_reverse_dependencies()
find_reverse_dependencies("codeInspectr", "summarize_repository")## character(0)No functions depend on summarize_repository().
find_reverse_dependencies("codeInspectr", "get_issues")## [1] "summarize_repository"Only summarize_repository() depends on
get_issues().
This function can be helpful if we’re considering changing the
behavior of a function in a package, and want to see what else that
might affect. For example, what if we wanted to tweak the output format
of fetch_table_() in the framrsquared
package?
find_reverse_dependencies("framrsquared", "fetch_table_")## [1] "addstock_check" "aeq_mortality"
## [3] "bkfram_checks_coho" "calc_fram_scaling"
## [5] "coho_mark_rates" "cohort_abundance"
## [7] "compare_databases" "compare_fishery_input_flags"
## [9] "compare_fishery_inputs" "compare_inputs"
## [11] "compare_non_retention_input_flags" "compare_non_retention_inputs"
## [13] "compare_recruits" "compare_runs"
## [15] "compare_stock_fishery_rate_scalers" "copy_fishery_scalers"
## [17] "copy_run" "fetch_table_bkchin"
## [19] "fishery_mortality" "get_fishery_ids"
## [21] "get_run_ids" "get_stock_ids"
## [23] "label_fisheries_db" "label_stocks_db"
## [25] "mortality_scalers_chinook_" "mortality_scalers_coho_"
## [27] "msf_encounters_coho_" "msf_landed_catch_coho_"
## [29] "msf_mortalities_coho_" "msp_mortality"
## [31] "plot_impacts_per_catch_heatmap" "plot_stock_comp"
## [33] "plot_stock_mortality" "plot_stock_mortality_time_step"
## [35] "population_statistics" "post_season_abundance"
## [37] "run_info" "stock_fate_chinook"
## [39] "stock_fate_coho" "stock_mortality"
## [41] "terminal_info" "truns_fisheries"
## [43] "truns_stocks"We would need to check that all of those functions still worked.