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Inverse operation to enframe() #146

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krlmlr opened this issue Aug 15, 2016 · 4 comments
Closed

Inverse operation to enframe() #146

krlmlr opened this issue Aug 15, 2016 · 4 comments

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@krlmlr
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@krlmlr krlmlr commented Aug 15, 2016

Would take a two-column data frame and produce a named vector or list.

Do we want this in tibble?

@krlmlr krlmlr modified the milestone: 1.3 Aug 26, 2016
@jennybc
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@jennybc jennybc commented Sep 7, 2016

I recently had occasion to use exactly this, so 👍.

@jennybc
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@jennybc jennybc commented Sep 14, 2016

Specific use case within the tidyverse: if you have a tibble of factor levels and associated colours, ggplot2 really wants you to have this as a named vector of colours. I.e. to use in scale_color_manual().

Does the input have to be a two-column data frame? Or could it have more columns and deframe() (or whatever it's called) has a way to specify which variable you want and which one should become the names? If you only specify the primary variable, does this become the canonical way to get a single variable out of a tibble in a pipeline?

@krlmlr
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@krlmlr krlmlr commented Nov 17, 2016

I'd prefer keeping things simple first (=only support one- or two-column data frames), we can extend later on.

@krlmlr krlmlr mentioned this issue Jan 16, 2017
@krlmlr krlmlr closed this in #214 Feb 7, 2017
krlmlr added a commit that referenced this issue Feb 7, 2017
- New `deframe()` (#146, #214).
krlmlr added a commit that referenced this issue Apr 1, 2017
Bug fixes
=========

- Time series matrices (objects of class `mts` and `ts`) are now supported in `as_tibble()` (#184).
- The `all_equal()` function (called by `all.equal.tbl_df()`) now forwards to `dplyr` and fails with a helpful message if not installed. Data frames with list columns cannot be compared anymore, and differences in the declared class (`data.frame` vs. `tbl_df`) are ignored. The `all.equal.tbl_df()` method gives a warning and forwards to `NextMethod()` if `dplyr` is not installed; call `all.equal(as.data.frame(...), ...)` to avoid the warning. This ensures consistent behavior of this function, regardless if `dplyr` is loaded or not (#198).

Interface changes
=================

- Now requiring R 3.1.0 instead of R 3.1.3 (#189).
- Add `as.tibble()` as an alias to `as_tibble()` (#160, @LaDilettante).
- New `frame_matrix()`, similar to `frame_data()` but for matrices (#140, #168, @LaDilettante).
- New `deframe()` as reverse operation to `enframe()` (#146, #214).
- Removed unused dependency on `assertthat`.

Features
========

General
-------

- Keep column classes when adding row to empty tibble (#171, #177, @LaDilettante).
- Singular and plural variants for error messages that mention a list of objects (#116, #138, @LaDilettante).
- `add_column()` can add columns of length 1 (#162, #164, @LaDilettante).

Input validation
----------------

- An attempt to read or update a missing column now throws a clearer warning (#199).
- An attempt to call `add_row()` for a grouped data frame results in a helpful error message (#179).

Printing
--------

- Render Unicode multiplication sign as `x` if it cannot be represented in the current locale (#192, @ncarchedi).
- Backtick `NA` names in printing (#206, #207, @jennybc).
- `glimpse()` now uses `type_sum()` also for S3 objects (#185, #186, @holstius).
- The `max.print` option is ignored when printing a tibble (#194, #195, @t-kalinowski).

Documentation
=============

- Fix typo in `obj_sum` documentation (#193, @etiennebr).
- Reword documentation for `tribble()` (#191, @kwstat).
- Now explicitly stating minimum Rcpp version 0.12.3.

Internal
========

- Using registration of native routines.
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