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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: RE: RE: graphing problem |

Date |
Fri, 5 Dec 2008 16:42:06 -0000 |

Stata here as elsewhere applies the principle that a graph should be honest about your data. Equivalently, it does not want to make it easy for you to omit data from a graph by accident. Thus if you want to omit data on purpose you should do on purpose by applying -if-. An alternative might be to use a log scale. Nick n.j.cox@durham.ac.uk Mak, Timothy Thanks for the article. However, as the article says, Stata determines the minimum range of the graph according to the range of the data. It remains impossible to set the range of the graph to be smaller than that of the data. Martin Weiss Try http://www.stata-journal.com/sjpdf.html?articlenum=gr0019 Mak, Timothy Is there any reason why Stata won't let you draw a graph whose y-axis' range is less than the actual range of the data? Is there a way to get round this? The motivation comes from doing a graph where there is one group which has a articularly large y value. If I graph it with the other groups, then all the other groups will be very small, and their relative heights not very distinguishable. If I can focus on the other groups and let the outlying group 'goes off the scale', that's clearly quite a good device to have. In fact, the problem can't be overcome even if I artificially set the outlying y value to the maximum of the y range, because the top will look different, particularly when I want to graph error intervals. * * 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/

**References**:**st: Maximum likelihood simulation***From:*"Katia Bobulova" <katia.bobulova@googlemail.com>

**st: graphing problem***From:*"Mak, Timothy" <timothy.mak07@imperial.ac.uk>

**st: RE: graphing problem***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**st: RE: RE: graphing problem***From:*"Mak, Timothy" <timothy.mak07@imperial.ac.uk>

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