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st: How do we format data and place the graphic in metan?


From   "Ross Harris" <[email protected]>
To   [email protected]
Subject   st: How do we format data and place the graphic in metan?
Date   Mon, 12 Mar 2007 12:12:45 -0000 (GMT)

Hi

Regarding the placement of the graphic, I am afraid that this is fixed and
cannot be changed- the plot is always placed between the left and right
columns of data. If you have one or two particularly extreme
estimates/confidence intervals that are causing a lot of graph space to be
wasted, you could however use _xlabel(#,#,#...) and _force. This will mean
your confidence intervals are truncated in the display, but would allow
more space for the rest of the data. Note also that metan may display
symmetric x-axes either side of the null effect line- using these options
can also rectify that.

As to the excessive number of decimal places, this could be fixed quickly
by making the data into strings. Consider:

. gen treatdose2 = string(treatdose, "%5.3g")

This will control the number of decimal places used as a column in metan.
I will keep a note of this however as this is something we may want to
make easier in the next update- so thanks!

Hope this helps,
Ross




-------- Original Message --------
Subject:         st: How do we format data and place the graphic in metan ?
Date:         Sat, 10 Mar 2007 11:20:57 -0000
From:         G Livesey <[email protected]>
Reply-To:         [email protected]
Organisation:         INLogic Ltd
To:         <[email protected]>



I looking to improve the formatted output in the graphic of 'metan' in v9.

I am having two problems:

1. I would like to move the central graphic right or left without moving the
columns of information/data. If I could do this I would be able to make
better use of the space within the overall graphic, and so more clearly
illustrate the results.

2. I would also like to format the columns of data in the graphic. In
particular to format the  data as  X.Y where X and Y are specified at any
reasonable length about the decimal point (at present I get too many
significant places). Formatting the input data doesn't affect the output in
the graphic (or so it appears).

I feel to have exhausted my exploration of metan on these problems with only
the following seemingly related information, perhaps because the update to
metan is so recent (and helpful!!)
http://www.stata.com/statalist/archive/2007-02/msg00748.html.

Possible the answer is quite basic, however I have not yet stumbled on
solutions during my exploration. The code and data showing need of some
formatting in the overall graphic is given below.

What tricks am I missing? I should be grateful for potential solutions.



With thanks

Geoff Livesey


#delimit;
metan  theta  theta_se  , by(group_1) random  second(fixed) rfdist
label(namevar = source)
                xtitle("Percentage attenuation", size(*0.5))
                xlabel (-40 , 0)
                plotregion(style(none))
                  graphregion(color(white))
                astext(60)
                lcols(source treatdose)
                 favours(Better # Worse)
                ;
#delimit cr




     |                           source   theta   theta_se
group_1   treatd~e |

|---------------------------------------------------------------------------
--------------------------------|
  1. |          Kawasaki et al 2000 (B)   -21.2   14.69924   Cases with
higher carbohydrate tolerance       6.30 |
  2. |         Kishimoto et al 2000 (B)    -3.1   3.209351   Cases with
higher carbohydrate tolerance       4.60 |
  3. |   Mizushima et al 1999 (B acute)   -33.2   21.48279   Cases with
higher carbohydrate tolerance       9.80 |
  4. |        Shinohara  et al 1999 (B)    -8.2   11.35006   Cases with
higher carbohydrate tolerance       5.00 |
  5. |        Shioda et al 2001 (B n20)   -18.2   19.74265   Cases with
higher carbohydrate tolerance       7.90 |

|---------------------------------------------------------------------------
--------------------------------|
  6. |     Tokunaga & Matsuoka 1999 (B)    -8.4   3.329585   Cases with
higher carbohydrate tolerance       5.10 |
  7. |            Unno et al 2002 (B S)   -13.6   7.523515   Cases with
higher carbohydrate tolerance       5.20 |
  8. |               Uno et al 1999 (B)     8.6   28.70391   Cases with
higher carbohydrate tolerance       5.00 |
  9. | Wakabayashi  et al 1999 (A roll)   -37.1   2.603687   Cases with
higher carbohydrate tolerance       7.00 |
 10. |      Ueda et al 1993 (30g acute)    -4.8   6.649664    Cases with
mixed carbohydrate tolerance      30.00 |

|---------------------------------------------------------------------------
--------------------------------|
 11. |       Ueda et al 1993 (3g acute)   -12.7   5.249016    Cases with
mixed carbohydrate tolerance       3.00 |
 12. |       Ueda et al 1993 (6g acute)   -16.3   5.630603    Cases with
mixed carbohydrate tolerance       6.00 |
 13. |                Wakabayashi  1992    -7.4   4.505731    Cases with
mixed carbohydrate tolerance      30.00 |
 14. |    Wakabayashi  et al 1999 (glu)    -7.7    8.08934    Cases with
mixed carbohydrate tolerance      10.00 |
 15. |     Wakabayashi  et al 1999 (md)   -21.8   9.395063    Cases with
mixed carbohydrate tolerance      10.00 |

|---------------------------------------------------------------------------
--------------------------------|
 16. |    Wakabayashi  et al 1999 (ndl)   -23.5    3.00385    Cases with
mixed carbohydrate tolerance       5.00 |
 17. |     Wakabayashi  et al 1999 (su)   -25.1   2.142058    Cases with
mixed carbohydrate tolerance      10.00 |
 18. |                  Wolf et al 2001    -3.7   3.452281    Cases with
mixed carbohydrate tolerance      16.00 |
 19. |          Kawasaki et al 2000 (A)   -18.5   10.54169    Cases with
lower carbohydrate tolerance       6.30 |
 20. |         Kishimoto et al 2000 (A)   -19.5   2.582998    Cases with
lower carbohydrate tolerance       4.60 |

|---------------------------------------------------------------------------
--------------------------------|
 21. |   Mizushima et al 1999 (A acute)   -23.1   17.36217    Cases with
lower carbohydrate tolerance       9.80 |
 22. |       Shinohara  et al 1999 (A )   -11.7   10.27774    Cases with
lower carbohydrate tolerance       5.00 |
 23. |        Shioda et al 2001 (A n20)   -11.0   15.70164    Cases with
lower carbohydrate tolerance       7.90 |
 24. |     Tokunaga & Matsuoka 1999 (A)   -31.7   2.466213    Cases with
lower carbohydrate tolerance       5.10 |
 25. |     Unno et al 2002 (A ~prone S)   -22.0   3.550336    Cases with
lower carbohydrate tolerance       5.20 |

|---------------------------------------------------------------------------
--------------------------------|
 26. |               Uno et al 1999 (A)    -7.7   15.79408    Cases with
lower carbohydrate tolerance       5.00 |
 27. | Wakabayashi  et al 1999 (B roll)   -48.1   3.576585    Cases with
lower carbohydrate tolerance       7.00 |

+---------------------------------------------------------------------------
--------------------------------+






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