Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Nick Cox <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Re: Decomposing integers |

Date |
Thu, 19 Jul 2012 13:48:30 +0100 |

. l if y == 22 | y == 65 +--------------------------+ | y Y bin wanted | |--------------------------| 22. | 22 22 10110 011010 | 65. | 65 1 00001 100002 | +--------------------------+ The extra -egen- function here is -base()- from -egenmore- (SSC). Nick On Thu, Jul 19, 2012 at 1:00 PM, A Loumiotis <[email protected]> wrote: > The last local should contain 1 0 0 0 0 2. > > On Thu, Jul 19, 2012 at 2:54 PM, A Loumiotis > <[email protected]> wrote: >> Hi, >> >> I have integer numbers of the following form: >> >> X=Sum[i=0/4](a[i]2^i)+(a[5]*2^5) >> >> where a[i] equals either 0 or 1 if i=0/4 and a[5] equals to any >> positive integer or 0. >> >> Given this construction I would like to find the unique combinations >> of a[i]'s that generated X. >> >> For example: >> >> X=22 was generated using a[1]=1, a[2]=1 and a[4]=1. >> So I would like to construct a local that contains the following list >> 0 1 1 0 1 0 >> >> X=65 was generated using a[0]=1 and a[5]=2 >> So in this case the local should contain 1 0 0 0 0 1 >> >> Is this possible? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Re: Decomposing integers***From:*Nick Cox <[email protected]>

**References**:**st: Decomposing integers***From:*A Loumiotis <[email protected]>

**st: Re: Decomposing integers***From:*A Loumiotis <[email protected]>

- Prev by Date:
**RE: Antwort: Re: Fw: st: xtfmb: Fama MacBeth regression** - Next by Date:
**Re: st: using subgroup regression coefficients in further regressions** - Previous by thread:
**st: Re: Decomposing integers** - Next by thread:
**Re: st: Re: Decomposing integers** - Index(es):