Zapping a vector of small numbers to zero would cause problems when
printing the results of summary(). For example, if
zapsmall(c(2.220446e-16, ..., 2.220446e-16)) == c(0, ..., 0) then
print(summary(2.220446e-16), digits = 7) would print
Min. 1st Qu. MedianMean 3rd Qu.Max.
0
I was quite suprised to discover that applying `zapsmall` to a scalar value has
no apparent effect. For example:
> y <- 2.220446e-16
> zapsmall(y,)
[1] 2.2204e-16
I was expecting zapsmall(x)` to act like
> round(y, digits=getOption('digits'))
[1] 0
Looking at the current source code, indicat
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 relies on p
