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use_as_rownames function #8 #11
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@@ -200,6 +200,34 @@ add_rownames <- function(df, var = "rowname") { | |||
as_data_frame(cbind(rn, df)) | |||
} | |||
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#' Convert a column of tbl into rownames of data.frame. |
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I'd prefer if the two functions were documented together (via @rdname
).
Current coverage is
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stop(paste("No", var, "column in the colnames.") ) | ||
} | ||
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df <- as.data.frame(df) |
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If this is intended behavior, it should be documented, but I wonder if it's necessary. (One can always write use_as_rownames() %>% as.data.frame or the other way round, if necessary.)
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At least to me, use_as_rownames
is to interact with the base::data.frame
and tbl
is trying to avoid rownames
. So I convert it into data.frame directly. Comments?
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Makes sense; still, needs to be documented.
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I do not get meaning of to be documented
. Return a data.frame is documented in details
now. Correct?
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Missed that, sorry.
More tests are added (I use test a few. Maybe need update).
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#' Convert row names to an explicit variable. | ||
#' Converting between rownames and a column | ||
#' | ||
#' add_rownames: Convert row names to an explicit variable. |
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This should go into the @details
section
Thanks. This looks good, I'll merge it soon. |
@@ -25,4 +25,4 @@ Suggests: | |||
Lahman (>= 3.0.1) | |||
LazyData: yes | |||
License: MIT + file LICENSE | |||
RoxygenNote: 5.0.1.9000 |
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This spurious change prevents me from merging into master.
} | ||
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#' @rdname rownames | ||
#' @export | ||
rownames_to_column <- add_rownames |
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The new function isn't supposed to convert to tbl_df
. Let's remove add_rownames()
altogether and keep it only in dplyr for compatibility.
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rownames_to_column
is a copy of add_rownames
. So you mean keep the input of rownames_to_column
as it is (I did not change that section)? For example, input data.frame
output data.frame
? I will remove add_rownames
.
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Yes, data.frame -> data.frame, tbl_df -> tbl_df. Thanks.
} | ||
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#' \code{column_to_rownames} convert a column variable to row names. This is an | ||
#' inverted operation of rownames_to_column. |
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\code{rownames_to_column}
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This description is for column_to_rownames. Why \code{rownames_to_column}
?
Thanks. Could you please merge/rebase? |
- New `rownames_to_column()` and `column_to_rownames()` functions, replace `add_rownames()` (#11, @zhilongjia).
Thanks! I'll tweak documentation and tests myself. |
- `frame_data()` now also creates a list column if one of the entries is a list (#32). - New `rownames_to_column()` and `column_to_rownames()` functions, replace `add_rownames()` (#11, @zhilongjia).
- Features - New `as_data_frame.table()` with argument `n` to control name of count column (#22, #23). - New function `repair_names()` fixes missing and duplicate names (#10, #15, @r2evans). - `frame_data()` now also creates a list column if one of the entries is a list (#32). - New `rownames_to_column()` and `column_to_rownames()` functions, replace `add_rownames()` (#11, @zhilongjia). - Use `tibble` prefix for options (#13, #36). - Documentation - Add pre-tibble NEWS (#39, #40). - Include vignette (#38). - Expand README. - Fix typos in documentation. - Remove use of `src()` from examples. - Prepare CRAN release - Use new-style `.travis.yml` - Use AppVeyor for testing. - Finer coverage analysis (#37). - Check with win-builder and valgrind. - Fix NOTE from `R CMD check`.
- Initial CRAN release - Extracted from `dplyr` 0.4.3 - Exported functions: - `tbl_df()` - `as_data_frame()` - `data_frame()`, `data_frame_()` - `frame_data()`, `tibble()` - `glimpse()` - `trunc_mat()`, `knit_print.trunc_mat()` - `type_sum()` - New `lst()` and `lst_()` create lists in the same way that `data_frame()` and `data_frame_()` create data frames (tidyverse/dplyr#1290). `lst(NULL)` doesn't raise an error (#17, @jennybc), but always uses deparsed expression as name (even for `NULL`). - New `add_row()` makes it easy to add a new row to data frame (tidyverse/dplyr#1021). - New `rownames_to_column()` and `column_to_rownames()` (#11, @zhilongjia). - New `has_rownames()` and `remove_rownames()` (#44). - New `repair_names()` fixes missing and duplicate names (#10, #15, @r2evans). - New `is_vector_s3()`. - Features - New `as_data_frame.table()` with argument `n` to control name of count column (#22, #23). - Use `tibble` prefix for options (#13, #36). - `glimpse()` now (invisibly) returns its argument (tidyverse/dplyr#1570). It is now a generic, the default method dispatches to `str()` (tidyverse/dplyr#1325). The default width is obtained from the `tibble.width` option (#35, #56). - `as_data_frame()` is now an S3 generic with methods for lists (the old `as_data_frame()`), data frames (trivial), matrices (with efficient C++ implementation) (tidyverse/dplyr#876), and `NULL` (returns a 0-row 0-column data frame) (#17, @jennybc). - Non-scalar input to `frame_data()` and `tibble()` (including lists) creates list-valued columns (#7). These functions return 0-row but n-col data frame if no data. - Bug fixes - `frame_data()` properly constructs rectangular tables (tidyverse/dplyr#1377, @kevinushey). - Minor modifications - Uses `setOldClass(c("tbl_df", "tbl", "data.frame"))` to help with S4 (tidyverse/dplyr#969). - `tbl_df()` automatically generates column names (tidyverse/dplyr#1606). - `tbl_df`s gain `$` and `[[` methods that are ~5x faster than the defaults, never do partial matching (tidyverse/dplyr#1504), and throw an error if the variable does not exist. `[[.tbl_df()` falls back to regular subsetting when used with anything other than a single string (#29). `base::getElement()` now works with tibbles (#9). - `all_equal()` allows to compare data frames ignoring row and column order, and optionally ignoring minor differences in type (e.g. int vs. double) (tidyverse/dplyr#821). Used by `all.equal()` for tibbles. (This package contains a pure R implementation of `all_equal()`, the `dplyr` code has identical behavior but is written in C++ and thus faster.) - The internals of `data_frame()` and `as_data_frame()` have been aligned, so `as_data_frame()` will now automatically recycle length-1 vectors. Both functions give more informative error messages if you are attempting to create an invalid data frame. You can no longer create a data frame with duplicated names (tidyverse/dplyr#820). Both functions now check that you don't have any `POSIXlt` columns, and tell you to use `POSIXct` if you do (tidyverse/dplyr#813). `data_frame(NULL)` raises error "must be a 1d atomic vector or list". - `trunc_mat()` and `print.tbl_df()` are considerably faster if you have very wide data frames. They will now also only list the first 100 additional variables not already on screen - control this with the new `n_extra` parameter to `print()` (tidyverse/dplyr#1161). The type of list columns is printed correctly (tidyverse/dplyr#1379). The `width` argument is used also for 0-row or 0-column data frames (#18). - When used in list-columns, S4 objects only print the class name rather than the full class hierarchy (#33). - Add test that `[.tbl_df()` does not change class (#41, @jennybc). Improve `[.tbl_df()` error message. - Documentation - Update README, with edits (#52, @bhive01) and enhancements (#54, @jennybc). - `vignette("tibble")` describes the difference between tbl_dfs and regular data frames (tidyverse/dplyr#1468). - Code quality - Test using new-style Travis-CI and AppVeyor. Full test coverage (#24, #53). Regression tests load known output from file (#49). - Renamed `obj_type()` to `obj_sum()`, improvements, better integration with `type_sum()`. - Internal cleanup.
use_as_rownames
function returns data.frame, not tbl, with rownames. This is to solve issue #8.Closes #8.
Closes #28.