> To: David Winsemius
> Cc: William Dunlap; R-help@r-project.org
> Subject: Re: [R] delete data row
>
> I used the -which() construct initially to try to show "deleting"
> cases. I believe it hung around longer than it should have. That
> said, I have also had David&#
I used the -which() construct initially to try to show "deleting"
cases. I believe it hung around longer than it should have. That
said, I have also had David's experience with NAs. What about a
vectorized version of identical(TRUE, x)? This avoids the which()
problem Bill pointed out, and the
On Oct 17, 2010, at 3:56 PM, William Dunlap wrote:
I had been thinking of:
x <- c(1, (2^(0.5))^2 , 3, 5, (2^(0.5))^2 , 3, 1)
y <- 2
x[-which(zapsmall(x-y) == 0)]
[1] 1 3 5 3 1
Using which() to convert logicals into integer
subscripts is almost always unnecessary and often wrong.
At one
> I had been thinking of:
> > x <- c(1, (2^(0.5))^2 , 3, 5, (2^(0.5))^2 , 3, 1)
> > y <- 2
> > x[-which(zapsmall(x-y) == 0)]
> [1] 1 3 5 3 1
Using which() to convert logicals into integer
subscripts is almost always unnecessary and often wrong.
In this case it fails when no x is close to y,
be
On Oct 16, 2010, at 5:45 PM, Joshua Wiley wrote:
Jim and David,
I certainly agree with your suggestions. How would you implement
all.equal()? Since it compares entire objects (and the OP's goal is
to remove any rows that equal some value), the only option I saw was
to use *apply or a loop.
Jim and David,
I certainly agree with your suggestions. How would you implement
all.equal()? Since it compares entire objects (and the OP's goal is
to remove any rows that equal some value), the only option I saw was
to use *apply or a loop. zapsmall() is easier, (though it seems
potentially sl
IRD;
There is a danger in applying logical tests of equality to floating
point numbers. It may be safer to use all.equal or zapsmall in the
construction of your tests.
> all.equal( (2^(0.5))^2 , 2)
[1] TRUE
> (2^(0.5))^2 == 2
[1] FALSE
--
David.
On Oct 16, 2010, at 1:30 PM, Joshua Wiley
It is best to use 'all.equal' keeping in mind FAQ 7.31.
On Sat, Oct 16, 2010 at 1:30 PM, Joshua Wiley wrote:
> Dear IRD,
>
> One way is to select every row except those where y = y.j and then
> assign that to IR. In my example, which() returns a vector of the row
> numbers where the condition ev
Dear IRD,
One way is to select every row except those where y = y.j and then
assign that to IR. In my example, which() returns a vector of the row
numbers where the condition evaluated TRUE, then I used `-` to select
not those rows.
IR <- IR[-which(IR$y == y.j), ]
HTH,
Josh
On Sat, Oct 16, 20
Dear All
I have data like this:
> IR
xy
[1,] 5 2.865490
[2,] 3 1.454611
[3,] 3 2.258772
[4,] 6 1.476128
[5,] 4 2.771606
> y.j
y
2.865490
>
and I want to delete data row in IR where y = y.j
How I can do.
IRD
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