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From |
celdjt@umich.edu |

To |
statalist@hsphsun2.harvard.edu |

Subject |
RE: st: Adding lines to graphs |

Date |
Fri, 11 Nov 2005 09:18:58 -0500 |

Nick and Ulrich. Thanks for your help on this. Because the data for the graph

are generated by a specifically written program, Ulrich solution proved easiest

to integrate, and it works perfectly.

David

Quoting Nick Cox <n.j.cox@durham.ac.uk>:

Alternatively, it is not necessary to change the dataset size. Given y and x, you create two new variables: gen y1 = 0 in 1 replace y1 = y[1] in 2 gen x1 = 0 in 1 replace x1 = x[1] in 2 line y1 x1 || line y x Admittedly, you still have to mess around with legends, line styles etc. So either you alter your data a little, as above or below, or you use -scatteri- as earlier suggested. Nick n.j.cox@durham.ac.uk Ulrich Kohlerceldjt@umich.edu wrote: > I have a series of interconnected monotonically declining plots that I am > presenting as a single connected line graph, i.e., a graph that starts > relatively high on the y axis, declines, jumbs vertically to a second high > point, declines again,etc (substantively describes a relationship between > varying values of a hazard ratio and age). I can't figure out how to add a > line going from the 0 point on the x axis to the initial value of the > graph. I would be most appreciative of any suggestions. Thanks I think you need to generate an observation with x=0. Assuming that the y-value for x=0 should be y=0: . set obs `=_N+1' . replace x = 0 in `=_N' . replace y = 0 in `=_N' . connected y x, sort Or, if your dataset contains only x and y: . input . 0 0 . end . connected y x, sort* * 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/

**References**:**RE: st: Adding lines to graphs***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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