Can create 1d array variables

[hadley]

data_frame(x1 = array(1), x2 = rnorm(1))
#> Source: local data frame [1 x 2]
#> 
#>      x1        x2
#>   <dbl>     <dbl>
#> 1     1 0.8534246

I think this should be an error to be consistent with

data_frame(x1 = matrix(1, 1, 1), x2 = rnorm(1))

[krlmlr]

How about silently stripping the .Dim attribute in this case? The outputs of 1:3 and array(1:3) are indistinguishable, but:

> dput(array(1:3))
structure(1:3, .Dim = 3L)

[hadley]

I think that's reasonable - generally we prefer to complain about bad column types, but this is such a simple transformation it seems ok to be helpful.

[jennybc]

I think I just stumbled into this test driving the new mutate_*() functions? I forgot scale() returns a matrix. Here's a really easy way to create a problematic tibble:

iris %>% select(-Species) %>% mutate_each(funs(scale))

Everything seems OK, you can print, str(), View(). But if you use group_by() the wheels start to come off the wagon. You cannot View() this.

iris %>% group_by(Species) %>% mutate_each(funs(scale))

It's even easier to create strange tibbles with mutate_all(), mutate_if(), mutate_at(). I made something I can't str().

[krlmlr]

Should be fixed with devtools::install_github("krlmlr/dplyr@b-1918-grouped-dims") .

[github-actions]

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