Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-29 Thread Henrik Pärn
Thanks Emil for your thorough answer. It really clarified a lot to me. And 
revealed (even more of) my ignorance.

>-Original Message-
>From: Emil Bode 
>Sent: Thursday, November 29, 2018 10:48 AM
>To: Henrik Pärn ; r-devel@r-project.org
>Subject: Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-
>.data.frame`
>
>Well, the situation with `[.data.frame` (and [<-) is complicated by the fact 
>that
>the data.frame-method is not a primitive, but the generic IS.
>I'm not sure about dispatch for primitive-generics, but I bet it's done on the
>first argument (as with S3). Which means `[`(j=1:2,d,i=1) has nothing to do
>with `[.data.frame`, as some internal code equivalent to something like
>`[.integer` is called (`[.integer` is not an R-function, but I guess it's
>implemented in the C-code for `[`)
>And note that `[.data.frame`(j=1:2,d,i=1) does work (throws a warning, but
>returns the right result), because then you're simply calling the direct R-
>function, and matching by name is done.
>
>But I think the main reason for the warning is forwards compatibility (and
>maybe backwards?). As of this version, `[.data.frame`(x = d, j = 2, i = 1) 
>works
>fine, and `[.data.frame` is a regular R-function. But it's used a lot, I 
>wouldn't be
>surprised if some future R-version would implement it as a primitive.
>Without the warning, implementing [.data.frame as a primitive would involve
>a LOT of issues where older code breaks. With the warning, we can make clear
>to any users that calls like this one are undefined. They may work for now, but
>one shouldn't rely on it. Which means only the "right" order may be used, and
>then naming them is superfluous.
>
>By the way, when trying some things I noticed something else, which I'll send
>a separate mail about...
>
>Cheers,
>Emil
>
>On 29/11/2018, 09:20, "R-devel on behalf of Henrik Pärn" boun...@r-project.org on behalf of henrik.p...@ntnu.no> wrote:
>
>Thanks Bill and Michael for taking the time to share your knowledge!
>
>As a further background to my question, here are two examples that I
>forgot to include in my original post (reminded by Michael's answer). I
>swapped the i and j arguments in `[.data.frame` and `[<-.data.frame`. With
>warnings, but else without (?) problem. Using Bill's data:
>
>`[.data.frame`(x = d, i = 1, j = 2)
># [1] 12
>
>`[.data.frame`(x = d, j = 2, i = 1)
># [1] 12
>
>And similar for `[<-.data.frame` :
>`[<-.data.frame`(x = d, i = 1, j = 2, value = 1122)
>`[<-.data.frame`(x = d, j = 2, i = 1, value = 12)
>
>Because this seemed to work, I made the hasty conclusion that argument
>switching _wasn't_ a problem for `[.data frame`, and that we could rely on
>exact matching on tags. But apparently not: despite that `[.data.frame` and
>`[<-.data.frame` are _not_ primitive functions, positional matching is done
>there as well. Sometimes. At least when 'x' argument is not first, as shown in
>Bill's examples. Obviously my "test" was insufficient...
>
>Cheers,
>
>Henrik
>
>
>
>From: William Dunlap 
>Sent: Wednesday, November 28, 2018 9:10 PM
>To: Henrik Pärn 
>Cc: r-devel@r-project.org
>Subject: Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-
>.data.frame`
>
>They can get bitten in the last two lines of this example, where the 'x'
>argument is not first:
>> d <- data.frame(C1=c(r1=11,r2=21,r3=31), C2=c(12,22,32))
>> d[1,1:2]
>   C1 C2
>r1 11 12
>> `[`(d,j=1:2,i=1)
>   C1 C2
>r1 11 12
>Warning message:
>In `[.data.frame`(d, j = 1:2, i = 1) :
>  named arguments other than 'drop' are discouraged
>> `[`(j=1:2,d,i=1)
>Error in (1:2)[d, i = 1] : incorrect number of dimensions
>> do.call("[", list(j=1:2, i=1, x=d))
>Error in 1:2[i = 1, x = list(C1 = c(11, 21, 31), C2 = c(12, 22, 32))] :
>  incorrect number of dimensions
>
>Bill Dunlap
>TIBCO Software
>wdunlap http://tibco.com
>
>
>On Wed, Nov 28, 2018 at 11:30 AM Henrik Pärn
><mailto:henrik.p...@ntnu.no> wrote:
>tl;dr:
>
>Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame`
>and `[[.data.frame`?
>
>(because this question is of the kind 'why is R designed like this?', I 
> though
>R-devel would be more appropriate than R-help)
>
>#
>
>Background:
>
>Now and then students presents there fancy functions like this:
>
>myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)
>
>Incomprehensible. Thus, I encourage

Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-29 Thread Emil Bode
Well, the situation with `[.data.frame` (and [<-) is complicated by the fact 
that the data.frame-method is not a primitive, but the generic IS. 
I'm not sure about dispatch for primitive-generics, but I bet it's done on the 
first argument (as with S3). Which means `[`(j=1:2,d,i=1) has nothing to do 
with `[.data.frame`, as some internal code equivalent to something like 
`[.integer` is called (`[.integer` is not an R-function, but I guess it's 
implemented in the C-code for `[`)
And note that `[.data.frame`(j=1:2,d,i=1) does work (throws a warning, but 
returns the right result), because then you're simply calling the direct 
R-function, and matching by name is done.

But I think the main reason for the warning is forwards compatibility (and 
maybe backwards?). As of this version, `[.data.frame`(x = d, j = 2, i = 1) 
works fine, and `[.data.frame` is a regular R-function. But it's used a lot, I 
wouldn't be surprised if some future R-version would implement it as a 
primitive.
Without the warning, implementing [.data.frame as a primitive would involve a 
LOT of issues where older code breaks. With the warning, we can make clear to 
any users that calls like this one are undefined. They may work for now, but 
one shouldn't rely on it. Which means only the "right" order may be used, and 
then naming them is superfluous.

By the way, when trying some things I noticed something else, which I'll send a 
separate mail about...

Cheers,
Emil 

On 29/11/2018, 09:20, "R-devel on behalf of Henrik Pärn" 
 wrote:

Thanks Bill and Michael for taking the time to share your knowledge! 

As a further background to my question, here are two examples that I forgot 
to include in my original post (reminded by Michael's answer). I swapped the i 
and j arguments in `[.data.frame` and `[<-.data.frame`. With warnings, but else 
without (?) problem. Using Bill's data:

`[.data.frame`(x = d, i = 1, j = 2)
# [1] 12

`[.data.frame`(x = d, j = 2, i = 1)
# [1] 12

And similar for `[<-.data.frame` :
`[<-.data.frame`(x = d, i = 1, j = 2, value = 1122)
`[<-.data.frame`(x = d, j = 2, i = 1, value = 12)

Because this seemed to work, I made the hasty conclusion that argument 
switching _wasn't_ a problem for `[.data frame`, and that we could rely on 
exact matching on tags. But apparently not: despite that `[.data.frame` and 
`[<-.data.frame` are _not_ primitive functions, positional matching is done 
there as well. Sometimes. At least when 'x' argument is not first, as shown in 
Bill's examples. Obviously my "test" was insufficient...

Cheers,

Henrik



From: William Dunlap  
Sent: Wednesday, November 28, 2018 9:10 PM
To: Henrik Pärn 
    Cc: r-devel@r-project.org
    Subject: Re: [Rd] named arguments discouraged in `[.data.frame` and 
`[<-.data.frame`

They can get bitten in the last two lines of this example, where the 'x' 
argument is not first:
> d <- data.frame(C1=c(r1=11,r2=21,r3=31), C2=c(12,22,32))
> d[1,1:2]
   C1 C2
r1 11 12
> `[`(d,j=1:2,i=1)
   C1 C2
r1 11 12
Warning message:
In `[.data.frame`(d, j = 1:2, i = 1) :
  named arguments other than 'drop' are discouraged
> `[`(j=1:2,d,i=1)
Error in (1:2)[d, i = 1] : incorrect number of dimensions
> do.call("[", list(j=1:2, i=1, x=d))
Error in 1:2[i = 1, x = list(C1 = c(11, 21, 31), C2 = c(12, 22, 32))] :
  incorrect number of dimensions

Bill Dunlap
TIBCO Software
wdunlap http://tibco.com


On Wed, Nov 28, 2018 at 11:30 AM Henrik Pärn <mailto:henrik.p...@ntnu.no> 
wrote:
tl;dr:

Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame` and 
`[[.data.frame`?

(because this question is of the kind 'why is R designed like this?', I 
though R-devel would be more appropriate than R-help)

#

Background:

Now and then students presents there fancy functions like this: 

myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)

Incomprehensible. Thus, I encourage them to use spaces and name arguments, 
_at least_ when trying to communicate their code with others. Something like:

myfancyfun(data = d, n = 12, gamma = 0.3, prob = 0.2,
  size = 500, niter = 1000, model = FALSE,
 scale = TRUE, drop = FALSE, plot = TRUE, save = FALSE)


Then some overzealous students started to use named arguments everywhere. 
E-v-e-r-y-w-h-e-r-e. Even in the most basic situation when indexing vectors (as 
a subtle protest?), like:

vec <- 1:9

vec[i = 4]
`[`(x = vec, i = 4)

vec[[i = 4]]
`[[`(x = vec, i = 4)

vec[i = 4] <- 10
`[<-`(x = vec, i = 4, value = 10)

...or when indexing matrices:

 

Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-29 Thread Henrik Pärn
Thanks Bill and Michael for taking the time to share your knowledge! 

As a further background to my question, here are two examples that I forgot to 
include in my original post (reminded by Michael's answer). I swapped the i and 
j arguments in `[.data.frame` and `[<-.data.frame`. With warnings, but else 
without (?) problem. Using Bill's data:

`[.data.frame`(x = d, i = 1, j = 2)
# [1] 12

`[.data.frame`(x = d, j = 2, i = 1)
# [1] 12

And similar for `[<-.data.frame` :
`[<-.data.frame`(x = d, i = 1, j = 2, value = 1122)
`[<-.data.frame`(x = d, j = 2, i = 1, value = 12)

Because this seemed to work, I made the hasty conclusion that argument 
switching _wasn't_ a problem for `[.data frame`, and that we could rely on 
exact matching on tags. But apparently not: despite that `[.data.frame` and 
`[<-.data.frame` are _not_ primitive functions, positional matching is done 
there as well. Sometimes. At least when 'x' argument is not first, as shown in 
Bill's examples. Obviously my "test" was insufficient...

Cheers,

Henrik



From: William Dunlap  
Sent: Wednesday, November 28, 2018 9:10 PM
To: Henrik Pärn 
Cc: r-devel@r-project.org
Subject: Re: [Rd] named arguments discouraged in `[.data.frame` and 
`[<-.data.frame`

They can get bitten in the last two lines of this example, where the 'x' 
argument is not first:
> d <- data.frame(C1=c(r1=11,r2=21,r3=31), C2=c(12,22,32))
> d[1,1:2]
   C1 C2
r1 11 12
> `[`(d,j=1:2,i=1)
   C1 C2
r1 11 12
Warning message:
In `[.data.frame`(d, j = 1:2, i = 1) :
  named arguments other than 'drop' are discouraged
> `[`(j=1:2,d,i=1)
Error in (1:2)[d, i = 1] : incorrect number of dimensions
> do.call("[", list(j=1:2, i=1, x=d))
Error in 1:2[i = 1, x = list(C1 = c(11, 21, 31), C2 = c(12, 22, 32))] :
  incorrect number of dimensions

Bill Dunlap
TIBCO Software
wdunlap http://tibco.com


On Wed, Nov 28, 2018 at 11:30 AM Henrik Pärn <mailto:henrik.p...@ntnu.no> wrote:
tl;dr:

Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame` and 
`[[.data.frame`?

(because this question is of the kind 'why is R designed like this?', I though 
R-devel would be more appropriate than R-help)

#

Background:

Now and then students presents there fancy functions like this: 

myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)

Incomprehensible. Thus, I encourage them to use spaces and name arguments, _at 
least_ when trying to communicate their code with others. Something like:

myfancyfun(data = d, n = 12, gamma = 0.3, prob = 0.2,
                      size = 500, niter = 1000, model = FALSE,
                     scale = TRUE, drop = FALSE, plot = TRUE, save = FALSE)


Then some overzealous students started to use named arguments everywhere. 
E-v-e-r-y-w-h-e-r-e. Even in the most basic situation when indexing vectors (as 
a subtle protest?), like:

vec <- 1:9

vec[i = 4]
`[`(x = vec, i = 4)

vec[[i = 4]]
`[[`(x = vec, i = 4)

vec[i = 4] <- 10
`[<-`(x = vec, i = 4, value = 10)

...or when indexing matrices:

m <- matrix(vec, ncol = 3)
m[i = 2, j = 2]
`[`(x = m, i = 2, j = 2)
# 5

m[i = 2, j = 2] <- 0
`[<-`(x = m, i = 2, j = 2, value = 0)

##

This practice indeed feels like overkill, but it didn't seem to hurt either. 
Until they used it on data frames. Then suddenly warnings appeared that named 
arguments are discouraged:

d <- data.frame(m)

d[[i = "X2"]]
# [1] 4 5 6
# Warning message:
# In `[[.data.frame`(d, i = "X2") :
#  named arguments other than 'exact' are discouraged

d[i = 2, j = 2]
# [1] 0
# Warning message:
# In `[.data.frame`(d, i = 2, j = 2) :
#  named arguments other than 'drop' are discouraged

d[i = 2, j = 2] <- 5
# Warning message:
# In `[<-.data.frame`(`*tmp*`, i = 2, j = 2, value = 5) :
#  named arguments are discouraged


##

Of course I could tell them "don't do it, it's overkill and not common 
practice" or "it's just a warning, don't worry". However, I assume the warnings 
are there for a good reason.

So how do I explain to the students that named arguments are actively 
discouraged in `[.data.frame` and `[<-.data.frame`, but not in `[` and `[<-`? 
When will they get bitten?

__
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Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-28 Thread William Dunlap via R-devel
They can get bitten in the last two lines of this example, where the 'x'
argument is not first:
> d <- data.frame(C1=c(r1=11,r2=21,r3=31), C2=c(12,22,32))
> d[1,1:2]
   C1 C2
r1 11 12
> `[`(d,j=1:2,i=1)
   C1 C2
r1 11 12
Warning message:
In `[.data.frame`(d, j = 1:2, i = 1) :
  named arguments other than 'drop' are discouraged
> `[`(j=1:2,d,i=1)
Error in (1:2)[d, i = 1] : incorrect number of dimensions
> do.call("[", list(j=1:2, i=1, x=d))
Error in 1:2[i = 1, x = list(C1 = c(11, 21, 31), C2 = c(12, 22, 32))] :
  incorrect number of dimensions

Bill Dunlap
TIBCO Software
wdunlap tibco.com


On Wed, Nov 28, 2018 at 11:30 AM Henrik Pärn  wrote:

> tl;dr:
>
> Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame`
> and `[[.data.frame`?
>
> (because this question is of the kind 'why is R designed like this?', I
> though R-devel would be more appropriate than R-help)
>
> #
>
> Background:
>
> Now and then students presents there fancy functions like this:
>
> myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)
>
> Incomprehensible. Thus, I encourage them to use spaces and name arguments,
> _at least_ when trying to communicate their code with others. Something
> like:
>
> myfancyfun(data = d, n = 12, gamma = 0.3, prob = 0.2,
>   size = 500, niter = 1000, model = FALSE,
>  scale = TRUE, drop = FALSE, plot = TRUE, save = FALSE)
>
>
> Then some overzealous students started to use named arguments everywhere.
> E-v-e-r-y-w-h-e-r-e. Even in the most basic situation when indexing vectors
> (as a subtle protest?), like:
>
> vec <- 1:9
>
> vec[i = 4]
> `[`(x = vec, i = 4)
>
> vec[[i = 4]]
> `[[`(x = vec, i = 4)
>
> vec[i = 4] <- 10
> `[<-`(x = vec, i = 4, value = 10)
>
> ...or when indexing matrices:
>
> m <- matrix(vec, ncol = 3)
> m[i = 2, j = 2]
> `[`(x = m, i = 2, j = 2)
> # 5
>
> m[i = 2, j = 2] <- 0
> `[<-`(x = m, i = 2, j = 2, value = 0)
>
> ##
>
> This practice indeed feels like overkill, but it didn't seem to hurt
> either. Until they used it on data frames. Then suddenly warnings appeared
> that named arguments are discouraged:
>
> d <- data.frame(m)
>
> d[[i = "X2"]]
> # [1] 4 5 6
> # Warning message:
> # In `[[.data.frame`(d, i = "X2") :
> #  named arguments other than 'exact' are discouraged
>
> d[i = 2, j = 2]
> # [1] 0
> # Warning message:
> # In `[.data.frame`(d, i = 2, j = 2) :
> #  named arguments other than 'drop' are discouraged
>
> d[i = 2, j = 2] <- 5
> # Warning message:
> # In `[<-.data.frame`(`*tmp*`, i = 2, j = 2, value = 5) :
> #  named arguments are discouraged
>
>
> ##
>
> Of course I could tell them "don't do it, it's overkill and not common
> practice" or "it's just a warning, don't worry". However, I assume the
> warnings are there for a good reason.
>
> So how do I explain to the students that named arguments are actively
> discouraged in `[.data.frame` and `[<-.data.frame`, but not in `[` and
> `[<-`? When will they get bitten?
>
> __
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>

[[alternative HTML version deleted]]

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Re: [Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-28 Thread Michael Lawrence
Whenever they are calling a primitive, because primitives match
arguments positionally. Of course, you then you need to introduce the
concept of a primitive.

You could also make an argument from the code clarity perspective, as
typically primitives have simple interfaces and/or are used frequently
enough that naming arguments just introduces clutter. That probably
requires experience though.

Michael
On Wed, Nov 28, 2018 at 11:30 AM Henrik Pärn  wrote:
>
> tl;dr:
>
> Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame` and 
> `[[.data.frame`?
>
> (because this question is of the kind 'why is R designed like this?', I 
> though R-devel would be more appropriate than R-help)
>
> #
>
> Background:
>
> Now and then students presents there fancy functions like this:
>
> myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)
>
> Incomprehensible. Thus, I encourage them to use spaces and name arguments, 
> _at least_ when trying to communicate their code with others. Something like:
>
> myfancyfun(data = d, n = 12, gamma = 0.3, prob = 0.2,
>   size = 500, niter = 1000, model = FALSE,
>  scale = TRUE, drop = FALSE, plot = TRUE, save = FALSE)
>
>
> Then some overzealous students started to use named arguments everywhere. 
> E-v-e-r-y-w-h-e-r-e. Even in the most basic situation when indexing vectors 
> (as a subtle protest?), like:
>
> vec <- 1:9
>
> vec[i = 4]
> `[`(x = vec, i = 4)
>
> vec[[i = 4]]
> `[[`(x = vec, i = 4)
>
> vec[i = 4] <- 10
> `[<-`(x = vec, i = 4, value = 10)
>
> ...or when indexing matrices:
>
> m <- matrix(vec, ncol = 3)
> m[i = 2, j = 2]
> `[`(x = m, i = 2, j = 2)
> # 5
>
> m[i = 2, j = 2] <- 0
> `[<-`(x = m, i = 2, j = 2, value = 0)
>
> ##
>
> This practice indeed feels like overkill, but it didn't seem to hurt either. 
> Until they used it on data frames. Then suddenly warnings appeared that named 
> arguments are discouraged:
>
> d <- data.frame(m)
>
> d[[i = "X2"]]
> # [1] 4 5 6
> # Warning message:
> # In `[[.data.frame`(d, i = "X2") :
> #  named arguments other than 'exact' are discouraged
>
> d[i = 2, j = 2]
> # [1] 0
> # Warning message:
> # In `[.data.frame`(d, i = 2, j = 2) :
> #  named arguments other than 'drop' are discouraged
>
> d[i = 2, j = 2] <- 5
> # Warning message:
> # In `[<-.data.frame`(`*tmp*`, i = 2, j = 2, value = 5) :
> #  named arguments are discouraged
>
>
> ##
>
> Of course I could tell them "don't do it, it's overkill and not common 
> practice" or "it's just a warning, don't worry". However, I assume the 
> warnings are there for a good reason.
>
> So how do I explain to the students that named arguments are actively 
> discouraged in `[.data.frame` and `[<-.data.frame`, but not in `[` and `[<-`? 
> When will they get bitten?
>
> __
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel

__
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[Rd] named arguments discouraged in `[.data.frame` and `[<-.data.frame`

2018-11-28 Thread Henrik Pärn
tl;dr:

Why are named arguments discouraged in `[.data.frame`, `[<-.data.frame` and 
`[[.data.frame`?

(because this question is of the kind 'why is R designed like this?', I though 
R-devel would be more appropriate than R-help)

#

Background:

Now and then students presents there fancy functions like this: 

myfancyfun(d,12,0.3,0.2,500,1000,FALSE,TRUE,FALSE,TRUE,FALSE)

Incomprehensible. Thus, I encourage them to use spaces and name arguments, _at 
least_ when trying to communicate their code with others. Something like:

myfancyfun(data = d, n = 12, gamma = 0.3, prob = 0.2,
  size = 500, niter = 1000, model = FALSE,
 scale = TRUE, drop = FALSE, plot = TRUE, save = FALSE)
 

Then some overzealous students started to use named arguments everywhere. 
E-v-e-r-y-w-h-e-r-e. Even in the most basic situation when indexing vectors (as 
a subtle protest?), like:

vec <- 1:9

vec[i = 4]
`[`(x = vec, i = 4)

vec[[i = 4]]
`[[`(x = vec, i = 4)

vec[i = 4] <- 10
`[<-`(x = vec, i = 4, value = 10)

...or when indexing matrices:

m <- matrix(vec, ncol = 3)
m[i = 2, j = 2]
`[`(x = m, i = 2, j = 2)
# 5

m[i = 2, j = 2] <- 0
`[<-`(x = m, i = 2, j = 2, value = 0)

##

This practice indeed feels like overkill, but it didn't seem to hurt either. 
Until they used it on data frames. Then suddenly warnings appeared that named 
arguments are discouraged:

d <- data.frame(m)

d[[i = "X2"]]
# [1] 4 5 6
# Warning message:
# In `[[.data.frame`(d, i = "X2") :
#  named arguments other than 'exact' are discouraged

d[i = 2, j = 2]
# [1] 0
# Warning message:
# In `[.data.frame`(d, i = 2, j = 2) :
#  named arguments other than 'drop' are discouraged

d[i = 2, j = 2] <- 5
# Warning message:
# In `[<-.data.frame`(`*tmp*`, i = 2, j = 2, value = 5) :
#  named arguments are discouraged


##

Of course I could tell them "don't do it, it's overkill and not common 
practice" or "it's just a warning, don't worry". However, I assume the warnings 
are there for a good reason.

So how do I explain to the students that named arguments are actively 
discouraged in `[.data.frame` and `[<-.data.frame`, but not in `[` and `[<-`? 
When will they get bitten?

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