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The gist could happen with the following R code, but it doesn't have an early return. which might slow us down on wide data.frames
```r
is_sparse_tibble
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# Feature Request Description
Function to join together data tibbles that picks smart default keys to join on based on the events each tibble is mapped to.
# Proposed Solution
Some possible A…
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This will serve as the main hub of issues across the tidymodels ecosystem, regarding the implementation of sparse data in tibbles.
right now we are still in the exploratory phase, with work happening…
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Related to #239—just a place to keep notes on the thought process for supporting sparse tibbles with formula preprocessors. In #245, we see:
``` r
library(tidymodels)
sparse_hotel_rates
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**数据:**
```R
df1 id col1 col2 col3
#>
#> 1 1 a
#> 2 2 b b
#> 3 3 c c c
```
**全连接:**
```R
list(df1, df2, df3) |>
purrr::reduce(dp…
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Right now I'm imagining that {hardhat} won't be used directly with sparse matrices, and rather is handling the more internal things
- [ ] make sure `mold()` and `forge()` works with sparse tibbles
…
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* `step_epi_naomit()` is one such. `step_naomit()` calls `tibble::as_tibble()` at the end.
Consider reconstructing the `epi_df` after each step inside the `bake/prep` loop.
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### Description of feature
> The report.html is so useful but I can’t share it easily because it shows some of the PGS scores with sample IDs in the head of the score data tibble.
We could:
1) …
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### Description
I am trying to convert a tibble to an `xts` object. The conversion works fine with `as.xts()`. The behaviour using `xts()` is unexpected, however.
A dataset in `xlsx` format is d…
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Super excited to see [#266](https://github.com/tidyverse/duckplyr/pull/226), so I tried it out with v0.4.1.9003 -- encountered the following error:
```
library(tidyverse)
con = DBI::dbConnect(d…