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From |
"victor michael zammit" <vmz@vol.net.mt> |

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

Subject |
st: Re: RE: Re: RE: Re:Is there any way ? |

Date |
Tue, 14 Sep 2004 10:47:08 +0200 |

My operating system is Windows95 .What I am trying to do is to the following : After having generated ,say, 1000 normally distributed variables with mean 50 and standard deviation 10 ; from this I derived three variables : mean , sd and i , where sd stands for standard deviation and i stands for the variable number.Then I implement the command : keep if mean > 49.9 & mean < 50.1 & sd> 9.9 & sd< 10.1 which gives me the following list : +----------------------------+ mean sd i ---------------------------- 1. 49.98775 9.995832 101 2. 49.92238 9.921903 140 3. 50.04274 9.959353 237 4. 49.91986 10.02384 267 5. 50.06425 10.03112 307 ---------------------------- 6. 50.09529 9.923013 353 7. 50.07205 9.926955 363 8. 49.9694 10.00273 365 9. 49.9058 9.911177 391 10. 49.95581 10.05547 400 ---------------------------- 11. 50.08439 10.07163 415 12. 50.03706 10.02582 428 13. 49.93437 9.979973 437 14. 49.95476 10.009 456 15. 49.99855 9.99959 545 ---------------------------- 16. 50.08477 9.915329 559 17. 50.09824 9.93272 564 18. 49.99771 10.01748 574 19. 50.02956 10.07592 589 20. 49.96579 10.06241 614 ---------------------------- 21. 49.96054 10.04056 649 22. 50.03897 9.999675 747 23. 50.03214 9.958685 751 24. 49.91431 9.926854 778 25. 50.02348 9.960877 820 ---------------------------- 26. 50.0564 9.956045 896 27. 50.00867 9.907173 964 28. 50.02766 9.918256 1000 +----------------------------+ Please note that I have saved each of the 1000 variables under a1.dta, a2.dta , a3.dta, .... , a1000.dta , but at the point of saving them, I do not know ,which variables are consistent with my imposed constraints.The above list makes it clear however which are the right variables .Therefore I know that : a101.dta , a140.dta, a237.dta, ........ a964.dta , a1000.dta are variables with mean and standard deviation that fall within the criteria of 49.9< mean<50.1 & 9.9<sd<10.1 . What I Want is to know if there is such a thing as going back to the individual datasets, a101.dta, a140.dta, ...... , a1000.dta and install them again , automatically (not manually) , in the directory under a different name such as b101.dta, b140.dta, ....., b1000.dta , such that , later on I could write over the a1.dta, a2.dta, a3.dta, ... ,a1000.dta and still have access to the variables that are of interest to me. Please bear with me if I am still unclear as to what I want . Thank you before hand, Victor Michael Zammit ----- Original Message ----- From: Nick Cox <n.j.cox@durham.ac.uk> To: <statalist@hsphsun2.harvard.edu> Sent: Monday, September 13, 2004 11:37 AM Subject: st: RE: Re: RE: Re:Is there any way ? > This renaming of files is largely between you > and your (still unstated) operating system, > although Stata is available as an intermediary. > > For example, under the Windows XP command prompt, > rename can be used to rename files. From within > Stata > > !rename a76.dta b76.dta > > will do the same thing. > > Nick > n.j.cox@durham.ac.uk > > victor michael zammit > > > I am using version 8.2 > > What I am trying to do is to isolate normally distributed > > variables closest > > to a mean of 50 and a sd of 10. > > The following clip is from a generation of 1000 such > > variables . 76 and 833 > > are variables that qualify to the relevant criteria .They > > are saved in my > > directory as a76.dta and a833.dta respectively . > > mean sd i > > > > --------------------------- > > > > 1. 49.96996 9.978514 76 > > ...................... > > > > 15. 50.08827 9.936735 833 > > > > What I need is a code that is capable of (for example) , > > renaming a76.dta > > , b76.dta & a833.dta , b833.dta , and thus being able > > to freely write > > over the previous a1.dta , a2.dta ..... a1000.dta , to > > handle other > > criteria , while conserving memory . > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: quantile regression and endogenous variables***From:*Justina.Fischer@unisg.ch

**References**:**st: RE: Re: RE: Re:Is there any way ?***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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