Dear all,
I have seen that others have discussed the partial matching behaviour of
data.frame[idx,] in the past, in particular with respect to unexpected
results sets.
I am aware of the fact that one can work around this using either
match() or switching to tibble/data.table or similar altogethe
Dear Ivan,
thanks a lot, that is helpful.
Still, I feel that default partial matching cripples the functionality
of data.frame for larger tables.
Thanks again and best regards
Hilmar
On 12.12.23 13:55, Ivan Krylov wrote:
В Mon, 11 Dec 2023 21:11:48 +0100
Hilmar Berger via R-devel пишет
v wrote:
On Wed, 13 Dec 2023 09:04:18 +0100
Hilmar Berger via R-devel wrote:
Still, I feel that default partial matching cripples the functionality
of data.frame for larger tables.
Changing the default now would require a long deprecation cycle to give
everyone who uses `[.data.frame` and relie
Good evening,
I recently have observed slow merges when combining multiple data frames
derived from DataFrame and base::data.frame. I observed that the index
column of intermediate tables was of class (automatically
converted from character). The problem occurred mainly when using the
sorted = T
Dear all,
actually, it is not clear to me why there is still a protection of the
added Row.names column in merge using I(). This seems to stem from a
time when R would automatically convert character vectors to factor in
data.frame on insert. However, I can't reproduce this behaviour even in
data
