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

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

Subject |
st: RE: RE: forval predict values into same column |

Date |
Mon, 24 Jan 2011 20:36:25 +0000 |

Jesper's answer to Q2 gives the right answer, but it is never necessary. -summarize, meanonly- yields the maximum directly and efficiently, so that putting that constant into a variable and then getting it out again is by comparison roundabout. Nick n.j.cox@durham.ac.uk Jesper Lindhardsen Regarding Q1 I would use -egen rowmax- or -egen rownonmiss- to gather the data in one column after the loop, e.g., ..loop.. Egen jointpredictvar=rowmax(y1hat*) As for Q2 you can do it several ways. One approach could be egen maxgroup=max(groupid) Local n = maxgroup[1] Forval i=1/`n' { On Behalf Of Michael Bondegård Hello, 1. question 1 I wonder how to make this forval i=1/6 { regress Y1 X1 X2 if GROUPID ==`i' predict Y1HAT if e(sample) } When i do this it tells me Y1HAT already defined (so it stops after second run, return just values first time) I know that i can do this: forval i=1/6 { regress Y1 X1 X2 if GROUPID ==`i' predict Y1HAT_`i' if e(sample) } As you see i add same number to the predictor that way i can go trough this problem but what i want is to put the prediction in same column from the start. This is because the GROUPID is diffrent for each prediction so it wont overwrite anything once it input the prediction values into it. 2, question 2 How to make return a maximum value for the GROUPID, as you see in the example above the forval runs 6 timas (6 is the max in GROUPID) My question is, is there any way to make the similar to this wish: forval i=1/MAX(GROUPID) * * 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: forval predict values into same column***From:*Michael Bondegård <michael@apub.se>

**st: RE: forval predict values into same column***From:*"Jesper Lindhardsen" <JESLIN01@geh.regionh.dk>

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