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From |
"Grigolon, Laura" <Laura.Grigolon@econ.kuleuven.be> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
st: question related to collapse |

Date |
Fri, 5 Dec 2008 00:36:18 +0100 |

Dear Statalister, I have a dataset with several variables, among which a discrete variable X that looks as follows. ------------------- X obs1 60 obs2 60 obs3 60 obs4 70 obs5 71 obs6 71 obs7 71 obs8 71 obs9 71 obs10 71 -------------------- My final purpose is to treat adjacent observations for which the variable X does not change by more than 10% as the same observation. In other words, I would like to collapse the dataset by X, but whenever the distance between two or more adjacent observations in X is less than 10%, I would like to collapse by a median of x. Before collapsing I tried to generate a median of X whenever the difference within X is less than 10%, and then collapse by X, but I am not succeding. Is this the right approach? Is there a way of collapsing specifying my requirement? Thank you in advance, Laura Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm * * 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/

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