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From |
Francisco Augusto <francisco.augusto.7@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Xaxis transformation after logging variable |

Date |
Tue, 21 Aug 2012 16:24:18 +0100 |

Thanks for the quick answer. It worked! (I am sorry for the trivial question, though) The reference I was talking about was Nick Cox, Speaking Stata: Graphing Distributions, 2004, The Stata Journal, pp 77 For the other question, I am sorry for the lack of information. I am trying to use the Prentice 1974 "A log gamma model and its maximum likelihood estimation" Biometrika Trust. In this approach the parameter k is transformed to q = k ^ (-1/2) with support to k of 0 to +infinity , parametrization also used by Lawless 1980 "Inference in the generalized gamma and log gamma Distributions" and applied in Cabral & Mata 2003 "On evolution of firm size distribution: facts and theory". With this approach I intended to apply the extended generalized gamma distribution to the logged variable, and by that obtaining estimates for the different parameters. After that, I was trying to regress the logged variable on other variables assuming the logged variable follows the extended generalized distribution. Should I "repost" the previous question? Is this information enough? Thank you very much for all the help, Francisco Augusto On Tue, Aug 21, 2012 at 3:50 PM, Nick Cox <njcoxstata@gmail.com> wrote: > "Cox showed" (even guessing and narrowing it down to me) is not a > precise reference. But if your axis variable is log_10(variable) and > you want labels in terms of variable, you can just go something like > > ... xla(0 "1" 1 "10" 2 "100") > > This is well documented at -help axis label options- and is no sense > limited to showing kernel density estimates. > > I guess people ignored your previous question because it wasn't clear > (there are several possible generalisations oof the gamma > distribution) and was based on an incomplete reference. Still true. > > Nick > > On Tue, Aug 21, 2012 at 3:27 PM, Francisco Augusto > <francisco.augusto.7@gmail.com> wrote: >> Dear Statalist, >> >> I am dealing with a small problem: I am doing kernel (kdensity) of a >> logged variable and I would like to rearrange the Xaxis to be in the >> original scale and on a 10 exponential order (like 1 10 100 1000 >> 10000, of the original values). I have seen a solution for the first >> part of the problem: Cox showed a command to get the original scale on >> the xaxis after logging a variable. Nevertheless, I don't know how to >> have the 1 10 100 1000 10000 order. >> >> Plus, I am still struggling to find a solution for the Prentice 1974 >> generalized gamma approach. It would be so nice for someone to present >> a possible solution! >> >> Thanks in advance! >> Francisco Augusto >> * >> * 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/ > * > * 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/ * * 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: Xaxis transformation after logging variable***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: Xaxis transformation after logging variable***From:*Francisco Augusto <francisco.augusto.7@gmail.com>

**Re: st: Xaxis transformation after logging variable***From:*Nick Cox <njcoxstata@gmail.com>

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