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st: RE: Graphing: How to suppress labels on second y axis

From   "McDermaid, Cameron" <>
To   <>
Subject   st: RE: Graphing: How to suppress labels on second y axis
Date   Thu, 30 Sep 2010 16:04:51 -0400

Having tested this a little more thoroughly, unless I'm doing something wrong (script below) it appears r(max) isn't maintained in the loop so is missing when the alert`lev' is to be reset to 1, resulting in a missing values for the operation.

The solution is to use the local macro assignment of r(max) as I did previously or insert sum `lev'normalized, meanonly  before alert`lev'=alert`lev'/r(max) when the alert`lev' is to be reset to 1.


loc levels=" Respiratory Asthma ILI"  
foreach lev of loc levels {
sum `lev'count, meanonly 
replace alert`lev'= alert`lev'* r(max)
replace alert`lev'=alert`lev'/r(max)

> -----Original Message-----
> From: [mailto:owner-
>] On Behalf Of Nick Cox
> Sent: September 30, 2010 1:04 PM
> To: ''
> Subject: st: RE: RE: RE: Graphing: How to suppress labels on second y
> axis
> Two small points. It's a smidgen quicker and shorter to write
> sum `lev'normalized, meanonly
> replace alert`lev'= alert`lev'* r(max)  /*adjusts alert to maximum value
> in line plot */
> 1. -su, meanonly- despite its name yields the maximum (and some other
> stuff you can ignore). This is discussed at excruciating length in
> SJ-7-3  st0135  . . . . . . . . . . . Stata tip 50: Efficient use of
> summarize
>         . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  N.
> J. Cox
>         Q3/07   SJ 7(3):438--439                                 (no
> commands)
>         tip on using the meanonly option of summarize to more
>         quickly determine the mean and other statistics of a
>         large dataset
> 2. The business of putting r(max) in a local, and then reading from the
> local, can be shortened. This has been called "cutting out the middle
> macro".
> Nick
> McDermaid, Cameron
> I've made a tweak to Nick's suggestion below.  One rationale for using 2
> axes was that the primary Y axis is one scale that can vary with the
> data and the second Y axis is fixed from 0 -1 . Using Nick's suggested
> script below uses the alert's actual value (missing, 1) is plotted on
> the primary Y axis and is often out of scale as to be not easily seen,
> depending on the line graph data.
> What I've done is adjust the alert value (1) to the maximum value of the
> data in the line plot then back to 1 once the plot is done.
> e.g.
> quietly: sum `lev'normalized
> local maxval: display `r(max)'
> replace alert`lev'= alert`lev'*`maxval'  /*adjusts alert to maximum
> value in line plot */
> do the plot with || dropline `lev'normalized adm_date if alert`lev'<.,
> ms(i)
> replace alert`lev'=alert`lev'/`maxval'  /*adjusts back to 1 for the next
> plot loop*/
> This seems to be working.  Thanks again to Nick for a kick in the right
> direction.
> *
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