Re: [R] memory stack overflow

2009-05-19 Thread ivan valencia
Have you try principal component analysis to reduce space variables?

2009/5/19 Nora Pérez norichu...@hotmail.com









 Dear colleagues,

 I am trying a glm.nb for the distribution of a plant species with 93
 environmental variables. I execute the instruction and I get the following
 message: Error: C stack usage is too close to the limit.

 How can I increase the memory of R?

 Your sincerely,

 Nora.


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Re: [R] bug when subtracting decimals?

2009-04-21 Thread ivan valencia
try this

 0.3-0.1 == 0.2
[1] FALSE
 round(0.3-0.1,1)==round(0.2,1)
[1] TRUE

liov

2009/4/21 Marc Schwartz marc_schwa...@me.com

 On Apr 21, 2009, at 5:55 AM, Duncan Murdoch wrote:

  On 21/04/2009 3:48 AM, Petr PIKAL wrote:

 Hi
 r-help-boun...@r-project.org napsal dne 20.04.2009 19:01:46:

 wolfgang.siewert wolfgang.siewert at gmail.com writes:

  There is a way around: round(0.7-0.3,1)==0.4
 (TRUE)

 Obviously there is a problem with some combinations of decimal

 subtractions,

 that - we have the feeling - shouldt be solved.

 Oh no, not that one again! This was lecture two in my first computer
 course in 1968, but it seems to be gone the way of the dodo since than.

 Maybe that is because of Excel is so widespread now and gives expected
 results (it probably silently rounds all decimal numbers before
 calculation).


 I don't have Excel, but I expect OpenOffice duplicates its bugs pretty
 well.  And in OpenOffice I see all sorts of bugs due to this, e.g. examples
 where x = y and y = z but x != z, cases where I can calculate a number like
 1 + 4.e-15 and get something different from 1, but if I enter it directly as
 1.004, it gets changed to 1.

 So it only gives expected results in some tests, not others.

 Duncan Murdoch




 As Dieter noted from our offlist exchange, this had been discussed
 previously back in 2003. Just to refresh memories:

  https://stat.ethz.ch/pipermail/r-help/2003-June/034565.html

  https://stat.ethz.ch/pipermail/r-help/2003-June/034860.html


 OO.org has replicated Excel's behavior to a fault.  Thus:

  Spreadsheet Use - Brain to Porridge


 Just to update OO.org's behavior using version 3.0.1 on OSX:

  Formula: =4.145 * 100 + 0.5 Result: 415.

  Formula: =0.5 - 0.4 - 0.1   Result: 0.

  Formula: =(0.5 - 0.4 - 0.1) Result: 0.

 So nothing has changed in OO.org in five years.  Somebody with Excel 2007
 might want to try the 2nd and 3rd formula examples to see if using parens
 still makes a difference in the result as compared to the formula without
 the parens.


 FWIW, now that I am on OSX, I can add the following output using Numbers
 '09:

  Formula: =4.145 * 100 + 0.5 Result: 415.

  Formula: =0.5 - 0.4 - 0.1   Result: -2.77556E-17

  Formula: =(0.5 - 0.4 - 0.1) Result: -2.77556E-17


 It does look like R's behavior has changed since then. Using:

  R version 2.9.0 Patched (2009-04-18 r48348)

 on OSX:

 # This first example has changed.
 # Prior result was 414.94
  print(4.145 * 100 + 0.5, digits = 20)
 [1] 415

  formatC(4.145 * 100 + 0.5, format = E, digits = 20)
 [1] 4.14943157E+02

  print(0.5 - 0.4 - 0.1, digits = 20)
 [1] -2.77555756156289e-17

  formatC(0.5 - 0.4 - 0.1, format = E, digits = 20)
 [1] -2.77555756156289135106E-17


 What is interesting is that:

  4.145 * 100 + 0.5 == 415
 [1] FALSE

  (4.145 * 100 + 0.5) - 415
 [1] -5.684342e-14

  all.equal(4.145 * 100 + 0.5, 415, 0)
 [1] Mean relative difference: 1.369721e-16


 So it would appear that in the first R example above, the print() function
 has changed in a material fashion.

 HTH,

 Marc Schwartz


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Estatístico Msc.
...
Curriculum Lattes

http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4778724J3
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