Up to [cvs.NetBSD.org] / pkgsrc / math / R-dplyr
Request diff between arbitrary revisions
Default branch: MAIN
Current tag: MAIN
Revision 1.7 / (download) - annotate - [select for diffs], Sun May 22 12:24:04 2022 UTC (5 weeks, 6 days ago) by mef
CVS Tags: pkgsrc-2022Q2-base, pkgsrc-2022Q2, HEAD
Changes since 1.6: +4 -4 lines
Diff to previous 1.6 (colored)
(math/R-dplyr) Updated 1.0.7 to 1.0.9 # dplyr 1.0.9 * New `rows_append()` which works like `rows_insert()` but ignores keys and allows you to insert arbitrary rows with a guarantee that the type of `x` won't change (#6249, thanks to @krlmlr for the implementation and @mgirlich for the idea). * The `rows_*()` functions no longer require that the key values in `x` uniquely identify each row. Additionally, `rows_insert()` and `rows_delete()` no longer require that the key values in `y` uniquely identify each row. Relaxing this restriction should make these functions more practically useful for data frames, and alternative backends can enforce this in other ways as needed (i.e. through primary keys) (#5553). * `rows_insert()` gained a new `conflict` argument allowing you greater control over rows in `y` with keys that conflict with keys in `x`. A conflict arises if a key in `y` already exists in `x`. By default, a conflict results in an error, but you can now also `"ignore"` these `y` rows. This is very similar to the `ON CONFLICT DO NOTHING` command from SQL (#5588, with helpful additions from @mgirlich and @krlmlr). * `rows_update()`, `rows_patch()`, and `rows_delete()` gained a new `unmatched` argument allowing you greater control over rows in `y` with keys that are unmatched by the keys in `x`. By default, an unmatched key results in an error, but you can now also `"ignore"` these `y` rows (#5984, #5699). * `rows_delete()` no longer requires that the columns of `y` be a strict subset of `x`. Only the columns specified through `by` will be utilized from `y`, all others will be dropped with a message. * The `rows_*()` functions now always retain the column types of `x`. This behavior was documented, but previously wasn't being applied correctly (#6240). * The `rows_*()` functions now fail elegantly if `y` is a zero column data frame and `by` isn't specified (#6179). # dplyr 1.0.8 * Better display of error messages thanks to rlang 1.0.0. * `mutate(.keep = "none")` is no longer identical to `transmute()`. `transmute()` has not been changed, and completely ignores the column ordering of the existing data, instead relying on the ordering of expressions supplied through `...`. `mutate(.keep = "none")` has been changed to ensure that pre-existing columns are never moved, which aligns more closely with the other `.keep` options (#6086). * `filter()` forbids matrix results (#5973) and warns about data frame results, especially data frames created from `across()` with a hint to use `if_any()` or `if_all()`. * `slice()` helpers (`slice_head()`, `slice_tail()`, `slice_min()`, `slice_max()`) now accept negative values for `n` and `prop` (#5961). * `slice()` now indicates which group produces an error (#5931). * `cur_data()` and `cur_data_all()` don't simplify list columns in rowwise data frames (#5901). * dplyr now uses `rlang::check_installed()` to prompt you whether to install required packages that are missing. * `storms` data updated to 2020 (@steveharoz, #5899). * `coalesce()` accepts 1-D arrays (#5557). * The deprecated `trunc_mat()` is no longer reexported from dplyr (#6141).
Revision 1.6 / (download) - annotate - [select for diffs], Tue Oct 26 10:55:26 2021 UTC (8 months ago) by nia
CVS Tags: pkgsrc-2022Q1-base, pkgsrc-2022Q1, pkgsrc-2021Q4-base, pkgsrc-2021Q4
Changes since 1.5: +2 -2 lines
Diff to previous 1.5 (colored)
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes
Revision 1.5 / (download) - annotate - [select for diffs], Thu Oct 7 14:27:48 2021 UTC (8 months, 3 weeks ago) by nia
Changes since 1.4: +1 -2 lines
Diff to previous 1.4 (colored)
math: Remove SHA1 hashes for distfiles
Revision 1.4 / (download) - annotate - [select for diffs], Sat Sep 11 15:31:54 2021 UTC (9 months, 2 weeks ago) by mef
CVS Tags: pkgsrc-2021Q3-base, pkgsrc-2021Q3
Changes since 1.3: +5 -5 lines
Diff to previous 1.3 (colored)
(math/R-dplyr) Updated 1.0.6 to 1.0.7 # dplyr 1.0.7 * `across()` uses the formula environment when inlining them (#5886). * `summarise.rowwise_df()` is quiet when the result is ungrouped (#5875). * `c_across()` and `across()` key deparsing not confused by long calls (#5883). * `across()` handles named selections (#5207).
Revision 1.3 / (download) - annotate - [select for diffs], Sat Jun 12 22:36:14 2021 UTC (12 months, 2 weeks ago) by mef
CVS Tags: pkgsrc-2021Q2-base, pkgsrc-2021Q2
Changes since 1.2: +5 -5 lines
Diff to previous 1.2 (colored)
(math/R-dplyr) Updated 1.0.0 to 1.0.6 # dplyr 1.0.6 * `add_count()` is now generic (#5837). * `if_any()` and `if_all()` abort when a predicate is mistakingly used as `.cols=` (#5732). * Multiple calls to `if_any()` and/or `if_all()` in the same expression are now properly disambiguated (#5782). * `filter()` now inlines `if_any()` and `if_all()` expressions. This greatly improves performance with grouped data frames. * Fixed behaviour of `...` in top-level `across()` calls (#5813, #5832). * `across()` now inlines lambda-formulas. This is slightly more performant and will allow more optimisations in the future. * Fixed issue in `bind_rows()` causing lists to be incorrectly transformed as data frames (#5417, #5749). * `select()` no longer creates duplicate variables when renaming a variable to the same name as a grouping variable (#5841). * `dplyr_col_select()` keeps attributes for bare data frames (#5294, #5831). * Fixed quosure handling in `dplyr::group_by()` that caused issues with extra arguments (tidyverse/lubridate#959). * Removed the `name` argument from the `compute()` generic (@ianmcook, #5783). * row-wise data frames of 0 rows and list columns are supported again (#5804). # dplyr 1.0.5 * Fixed edge case of `slice_sample()` when `weight_by=` is used and there 0 rows (#5729). * `across()` can again use columns in functions defined inline (#5734). * Using testthat 3rd edition. * Fixed bugs introduced in `across()` in previous version (#5765). * `group_by()` keeps attributes unrelated to the grouping (#5760). * The `.cols=` argument of `if_any()` and `if_all()` defaults to `everything()`. # dplyr 1.0.4 * Improved performance for `across()`. This makes `summarise(across())` and `mutate(across())` perform as well as the superseded colwise equivalents (#5697). * New functions `if_any()` and `if_all()` (#4770, #5713). * `summarise()` silently ignores NULL results (#5708). * Fixed a performance regression in `mutate()` when warnings occur once per group (#5675). We no longer instrument warnings with debugging information when `mutate()` is called within `suppressWarnings()`. # dplyr 1.0.3 * `summarise()` no longer informs when the result is ungrouped (#5633). * `group_by(.drop = FALSE)` preserves ordered factors (@brianrice2, #5545). * `count()` and `tally()` are now generic. * Removed default fallbacks to lazyeval methods; this will yield better error messages when you call a dplyr function with the wrong input, and is part of our long term plan to remove the deprecated lazyeval interface. * `inner_join()` gains a `keep` parameter for consistency with the other mutating joins (@patrickbarks, #5581). * Improved performance with many columns, with a dynamic data mask using active bindings and lazy chops (#5017). * `mutate()` and friends preserves row names in data frames once more (#5418). * `group_by()` uses the ungrouped data for the implicit mutate step (#5598). You might have to define an `ungroup()` method for custom classes. For example, see https://github.com/hadley/cubelyr/pull/3. * `relocate()` can rename columns it relocates (#5569). * `distinct()` and `group_by()` have better error messages when the mutate step fails (#5060). * Clarify that `between()` is not vectorised (#5493). * Fixed `across()` issue where data frame columns would could not be referred to with `all_of()` in the nested case (`mutate()` within `mutate()`) (#5498). * `across()` handles data frames with 0 columns (#5523). * `mutate()` always keeps grouping variables, unconditional to `.keep=` (#5582). * dplyr now depends on R 3.3.0 # dplyr 1.0.2 * Fixed `across()` issue where data frame columns would mask objects referred to from `all_of()` (#5460). * `bind_cols()` gains a `.name_repair` argument, passed to `vctrs::vec_cbind()` (#5451) * `summarise(.groups = "rowwise")` makes a rowwise data frame even if the input data is not grouped (#5422). # dplyr 1.0.1 * New function `cur_data_all()` similar to `cur_data()` but includes the grouping variables (#5342). * `count()` and `tally()` no longer automatically weights by column `n` if present (#5298). dplyr 1.0.0 introduced this behaviour because of Hadley's faulty memory. Historically `tally()` automatically weighted and `count()` did not, but this behaviour was accidentally changed in 0.8.2 (#4408) so that neither automatically weighted by `n`. Since 0.8.2 is almost a year old, and the automatically weighting behaviour was a little confusing anyway, we've removed it from both `count()` and `tally()`. Use of `wt = n()` is now deprecated; now just omit the `wt` argument. * `coalesce()` now supports data frames correctly (#5326). * `cummean()` no longer has off-by-one indexing problem (@cropgen, #5287). * The call stack is preserved on error. This makes it possible to `recover()` into problematic code called from dplyr verbs (#5308).
Revision 1.2 / (download) - annotate - [select for diffs], Fri Jul 31 20:44:49 2020 UTC (23 months ago) by brook
CVS Tags: pkgsrc-2021Q1-base, pkgsrc-2021Q1, pkgsrc-2020Q4-base, pkgsrc-2020Q4, pkgsrc-2020Q3-base, pkgsrc-2020Q3
Changes since 1.1: +5 -5 lines
Diff to previous 1.1 (colored)
R-dplyr: updated to 1.0.0.
Revision 1.1 / (download) - annotate - [select for diffs], Fri Aug 9 16:23:47 2019 UTC (2 years, 10 months ago) by brook
CVS Tags: pkgsrc-2020Q2-base, pkgsrc-2020Q2, pkgsrc-2020Q1-base, pkgsrc-2020Q1, pkgsrc-2019Q4-base, pkgsrc-2019Q4, pkgsrc-2019Q3-base, pkgsrc-2019Q3
R-dplyr: initial commit A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
This form allows you to request diff's between any two revisions of a file. You may select a symbolic revision name using the selection box or you may type in a numeric name using the type-in text box.