On 01/01/2015 10:05 PM, Mike Miller wrote:
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 01/01/2015 1:21 PM, Mike Miller wrote:
I understand that it's all about the problem of representing digital
numbers in binary, but I still find some of the results a little
surprising, like that list
On 02 Jan 2015, at 04:05 , Mike Miller mbmille...@gmail.com wrote:
...but why are we seeing errors so much bigger than the machine precision?
Why does it change at 2?
Because relative errors in the one-thousands part are roughly a thousand times
bigger than errors in the number itself?
On Fri, 2 Jan 2015, Duncan Murdoch wrote:
On 01/01/2015 10:05 PM, Mike Miller wrote:
This is how big those errors are:
512*.Machine$double.eps
[1] 1.136868e-13
Under other conditions you also were seeing errors of twice that, or
1024*.Machine$double.eps. It might not be a coincidence
On 01/01/2015 2:43 PM, Mike Miller wrote:
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 01/01/2015 1:21 PM, Mike Miller wrote:
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 31/12/2014 8:44 PM, David Winsemius wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ,
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 01/01/2015 1:21 PM, Mike Miller wrote:
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 31/12/2014 8:44 PM, David Winsemius wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it,
Interesting. Following someone on this list today the goal is input
the data correctly.
My inclination would be to read the file as text, pad each number to
the right, drop the decimal point,
and then read it as an integer.
0 1 2 0.325 1.12 1.9
0.000 1.000 2.000 0.325 1.120 1.900
1000 2000
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 31/12/2014 8:44 PM, David Winsemius wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it, but I just
ran across this in something I was working on:
as.integer(1000*1.003)
On 31/12/2014 8:44 PM, David Winsemius wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it, but I
just ran across this in something I was working on:
as.integer(1000*1.003)
[1] 1002
I didn't expect it, but maybe I
On 01/01/2015 1:21 PM, Mike Miller wrote:
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 31/12/2014 8:44 PM, David Winsemius wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it, but I
just ran across this in something I
On Thu, 1 Jan 2015, Duncan Murdoch wrote:
On 01/01/2015 1:21 PM, Mike Miller wrote:
I understand that it's all about the problem of representing digital
numbers in binary, but I still find some of the results a little
surprising, like that list of numbers from the table() output. For
I'd have to say thanks, but no thanks, to that one! ;-) The problem is
that it will take a long time and it will give the same answer.
The first time I did this kind of thing, a year or two ago, I manipulated
the text data to produce integers before putting the data into R. The
data were a
I've been followeing this little tour round the murkier bistros
in the back-streets of R with interest! Then it occurred to me:
What is wrong with [using example data]:
x0 - c(0,1,2,0.325,1.12,1.9,1.003)
x1 - as.integer(as.character(1000*x0))
n1 - c(0,1000,2000,325,1120,1900,1003)
x1 -
Yes, Ted, that also works, but it's very slow:
# read in values:
data - scan( file=RECIP_IN, what=double(), nmax=recip_N*16000)
Read 48013406 items
# convert to integer by adding .5 and rounding down:
ptm - proc.time() ; ints - as.integer( 1000 * data + .5 ) ; proc.time()-ptm
user
This is probably a FAQ, and I don't really have a question about it, but I
just ran across this in something I was working on:
as.integer(1000*1.003)
[1] 1002
I didn't expect it, but maybe I should have. I guess it's about the
machine precision added to the fact that as.integer always
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it, but I
just ran across this in something I was working on:
as.integer(1000*1.003)
[1] 1002
I didn't expect it, but maybe I should have. I guess it's about the machine
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David Winsemius dwinsem...@comcast.net wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller wrote:
This is probably a FAQ, and I don't really have a question about it, but I
just ran across this in something I was
Read the message at the bottom of every message from rhelp.
--
David.
On Dec 31, 2014, at 8:09 PM, Zaid Bhatti wrote:
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David Winsemius dwinsem...@comcast.net wrote:
On Dec 31, 2014, at 3:24 PM, Mike Miller
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