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From |
"David Harrison" <David@icnarc.org> |

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

Subject |
RE: st: RE: Nested If / then statement in a Bar Graph |

Date |
Tue, 24 Aug 2004 14:23:02 +0100 |

The other option if you want more variables is to produce your own wrapper command for both -regress- and -graph bar-, such as: program define grreg version 8 syntax varlist(min=2 numeric) regress `varlist' qui { tokenize `varlist' macro shift local vlist `*' local blist "" local bars "" local i 0 local rel "" local tcrit=invttail(e(df_r),.025) foreach v of local vlist { local i=`i'+1 tempvar b_`v' gen `b_`v'' = _b[`v'] scalar t_`v' = _b[`v'] / _se[`v'] local blist "`blist' `b_`v''" local rel `"`rel' `i' "`v'""' if abs(t_`v') > `tcrit' { local bars `"`bars' bar(`i', bcolor(red))"' } else { local bars `"`bars' bar(`i', bcolor(blue))"' } } graph bar (mean) `blist', bargap(30) `bars' /// ytitle("Parameter Estimate") blabel(bar, position(outside)) /// showyvars yvaroptions(relabel(`rel')) legend(off) } end The syntax would then be, e.g., -grreg price disp length- producing both the regression and the graph in one go. Obviously there's lots of scope for more bells & whistles on this like -if-, -in- and passing options through to both -regress- and -graph-. David david@icnarc.org -----Original Message----- From: smerryman@kc.rr.com [mailto:smerryman@kc.rr.com] Sent: 24 August 2004 13:06 To: statalist@hsphsun2.harvard.edu Subject: Re: st: RE: Nested If / then statement in a Bar Graph ----- Original Message ----- From: Clive Nicholas <Clive.Nicholas@newcastle.ac.uk> Date: Monday, August 23, 2004 10:43 pm Subject: Re: st: RE: Nested If / then statement in a Bar Graph <snip> > > This is pretty neat, Scott, but what if you want to change this to > showthe graph as, say, thin(ish) horizontal bars? I changed -bar- > to -hbar- > everywhere in the code, but it threw up error messages, so > obviously I was > doing something wrong! That said, I was able to add extra bars for > extravariables without too much difficulty. > Clive, Changing -graph bar ... - to -graph hbar...- seems to work for me. One way to get thinner(ish) bars would be to change to gaps. Something like graph hbar (mean) b_* , outergap(100) bargap(250) /// > That leads to the second question. If you're like me and you're > running a > model with 50 variables, presumably there's no quick-and-dirty > workaround. Sometimes, tables can be nice. I suppose, you could pick up the list of variables from -regress- and cycle through them in a more automated manner or pick up the elements you need from e(b) and e(V). > Third, what if Alex wanted to use beta-weights as opposed to b-scores? > Unfortunately, -ereturn list- doesn't leave these behind even if > you enter > > . reg price disp length, beta > > but, again, maybe there's a workaround here, too. Kit Baum's -betacoef- returns the beta coefficients in matrix. One way would be: sysuse auto,clear qui { reg price disp length betacoef matrix A = r(beta) gen b_disp = A[1,1] gen b_length = A[1,2] scalar t_disp = _b[disp] / _se[disp] scalar t_length = _b[length] / _se[length] if abs(t_disp) > 1.96 { local bar1 "1, bfcolor(red) blcolor(red)" } else { local bar1 "1, bfcolor(blue) blcolor(blue)" } if abs(t_length) > 1.96 { local bar2 "2, bfcolor(red) blcolor(red)" } else { local bar2 "2, bfcolor(blue) blcolor(blue)" } } graph hbar (mean) b_* , outergap(100) bargap(250) /// bar(`bar1') bar(`bar2') ytitle("Beta Coefficients") /// blabel(bar, position(outside)) Scott * * 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/

**Follow-Ups**:**st: Automatic mean-centering?***From:*"Clive Nicholas" <Clive.Nicholas@newcastle.ac.uk>

**RE: st: RE: Nested If / then statement in a Bar Graph***From:*"Clive Nicholas" <Clive.Nicholas@newcastle.ac.uk>

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