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Efficient way of creating a data frame from columns #376

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hadley opened this issue Apr 9, 2014 · 4 comments
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Efficient way of creating a data frame from columns #376

hadley opened this issue Apr 9, 2014 · 4 comments
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@hadley
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@hadley hadley commented Apr 9, 2014

i.e. so instead of

x <- runif(10)
data.frame(x = x, y = x * 2)

you could do

data_frame(x = runif(10), y = x * 2)

Would support standard dplyr features:

  • errors for non-supported vector types
  • only recycle vectors of length 1
  • one versions for ... input, one version of list input
  • fast!
@romainfrancois
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@romainfrancois romainfrancois commented Apr 10, 2014

That should be fun. I guess some of the tools of mutate can be reused for that.

@hadley hadley added this to the 0.3 milestone Jul 28, 2014
@hadley
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@hadley hadley commented Jul 28, 2014

I'd really like to include this in the next version.

@hadley
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@hadley hadley commented Jul 28, 2014

Two other notes:

  • it should always return an object of class tbl_df, data.frame
  • it should do minimal transformation on its inputs so that data.frame(list(1, 2, 3)) works (needs to check that vectors are all of same length, and matrices/arrays have first dim of correct length)

kevinushey added a commit to kevinushey/dplyr that referenced this issue Sep 4, 2014
kevinushey added a commit to kevinushey/dplyr that referenced this issue Sep 4, 2014
@hadley
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@hadley hadley commented Sep 4, 2014

Done in cda0232

@hadley hadley closed this as completed Sep 4, 2014
krlmlr pushed a commit to krlmlr/dplyr that referenced this issue Mar 2, 2016
krlmlr pushed a commit to krlmlr/dplyr that referenced this issue Mar 2, 2016
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