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From |
Ada Ma <heu034@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: are there any statistics rules that I can apply to separate numbers into groups? |

Date |
Wed, 11 Mar 2009 10:26:44 +0000 |

Thank you to both Partha Deb and Kyle Hood for providing me with some very promising looking leads to attempt. Regards, Ada On Wed, Mar 11, 2009 at 7:11 AM, Kyle K. Hood <kyle.hood@yale.edu> wrote: > In mapping, univariate classification schemes are used to group features > together. An example is Jenks' natural breaks, which simply defines k-1 > cutoffs to minimize within-group sums of square deviations from group means. > Unfortunately, > > . findit jenks > > produces nothing. However, there is information on the web regarding how to > compute these cutoffs (just google it). I'm not sure how closely this > method relates to cluster analysis and finite mixture models. > > Kyle > > Partha Deb wrote: >> >> Although one can never be sure what's in someone else's mind, I suspect >> you are looking for cluster analysis. -help cluster- . Finite mixture >> models may also be of interest. -findit fmm- . See >> http://users.ox.ac.uk/~polf0050/ISS%20Lecture%208.pdf for a set of slides by >> Stephen Fisher that has an introduction to Cluster analysis and finite >> mixture models. >> >> Best. >> >> Partha >> >> >> Ada Ma wrote: >>> >>> Hi Statalisters, >>> >>> I am looking for a solution to a problem but I have no idea where to >>> start. >>> >>> Let's say I have 50 packets of crisps of various weights and I would >>> like to separate these 50 packets of crisps into five groups based on >>> their weights in grams, as follows: >>> >>> 108.9702 >>> 111.1337 >>> 112.5217 >>> 112.6697 >>> 112.9962 >>> 114.0323 >>> 114.6699 >>> 116.8646 >>> 119.0719 >>> 124.5645 >>> 124.691 >>> 126.4943 >>> 126.5528 >>> 133.5675 >>> 134.9519 >>> 140.7979 >>> 144.228 >>> 102.8566 >>> 103.9373 >>> 104.7436 >>> 107.5397 >>> 109.4443 >>> 109.7089 >>> 110.395 >>> 112.1248 >>> 113.6032 >>> 115.6405 >>> 117.1919 >>> 120.0395 >>> 121.0714 >>> 121.7119 >>> 110.1116 >>> 112.0128 >>> 117.6563 >>> 118.2418 >>> 126.0027 >>> 127.8855 >>> 92.21352 >>> 92.45715 >>> 92.953 >>> 93.01508 >>> 94.05335 >>> 94.27259 >>> 94.38242 >>> 94.72507 >>> 94.83315 >>> 95.25914 >>> 95.37813 >>> 95.52933 >>> >>> I don't want to separate them into five equally sized groups. I want >>> to separate the packets into groups so that the group members are most >>> similar to one another. I am looking for a method (or methods?) to >>> achieve this end but I don't know where to start. If you can think of >>> any suggestion please fire away and I'd be most grateful! >>> >>> Regards, >>> Ada >>> >>> >>> >> > > -- > Kyle Hood > Department of Economics > Yale University > New Haven, CT > website: http://www.econ.yale.edu/~kkh25 > > * > * 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/ > -- Ada Ma Research Fellow Health Economics Research Unit University of Aberdeen, UK. http://www.abdn.ac.uk/heru/ Tel: +44 (0) 1224 553863 Fax: +44 (0) 1224 550926 * * 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: are there any statistics rules that I can apply to separate numbers into groups?***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**st: are there any statistics rules that I can apply to separate numbers into groups?***From:*Ada Ma <heu034@googlemail.com>

**Re: st: are there any statistics rules that I can apply to separate numbers into groups?***From:*Partha Deb <partha.deb@hunter.cuny.edu>

**Re: st: are there any statistics rules that I can apply to separate numbers into groups?***From:*"Kyle K. Hood" <kyle.hood@yale.edu>

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