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From |
Nick Cox <[email protected]> |

To |
[email protected] |

Subject |
Re: st: shifting existing values to subsequent variables in a row |

Date |
Sun, 8 May 2011 08:31:10 +0100 |

I'd -reshape- such data to long. Then use -by:- and subscripting. Nick On Sat, May 7, 2011 at 8:14 PM, Buzz Burhans <[email protected]> wrote: > I have been given a several datasets with ~50K observations and 197 > variables. > > Of the 197 variables, 180 are obtained from 20 measurement occasions where 9 > measurements were made. After the initial 17 variables describing the > subject (in my case individual cows), there are a series of 9 measurements > from the first measurement occasion, repeated in the same order for each > subsequent measurement occasion > > Inspecting the data, it is clear that in a small but substantial proportion > of the observations/cases the last datum is not present for a given > measurement occasion, with the consequence that the value provided for all > the subsequent variables is shifted left by one variable. It is quite clear > from the content of the data in the remaining variables in a row ( a > mixture of text and > numbers) that the values are offset one column to the left, i.e. one > variable to the left. > > I can fairly easily identify the "bad" observations with an -if- statement. > Such observations occur randomly and not usually consecutively. The > problem can occur in > multiple subsets of the data, as it appears to have occurred with the final > datum on different measurement occasions (but not every one, only in some > instances), so whatever procedure I come up with will need to be reusable > for application to data that is shifted after a later measurement occasion. > I am trying to come up with an easy way to shift all the remaining > values back to the correct variable. The 9 variables on each occasion all > have different names, though within a > measurement occasion the prefix is the same for all 9 measurements > (variables) attached to that occasion (i.e. day1this day1that day1other > day1more...) > > The data look something like this for 2 observations where the first is > ok, the second with a absent missing value and subsequent values shifted > right:: > > var1 - var25 day1No8 day1last day2first day2second > day2third..... > ___________|________|________|_______|___________|___________.... > > Ok values....| 100 Hot 25 > 120 UP > Bad values..| 100 25 120 > UP > > What I need is: > > var1 - var25 day1No8 day1last day2first day2second > day2third..... > ___________|________|________|_______|___________|___________.... > > Ok values....| 100 Hot 25 > 120 UP > shift values.| 100 . 25 > 120 UP > > I would appreciate any ideas on how to accomplish this efficiently when > applied to multiple observations. > * * 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/

**Follow-Ups**:**RE: st: shifting existing values to subsequent variables in a row***From:*"Buzz Burhans" <[email protected]>

**References**:**st: shifting existing values to subsequent variables in a row***From:*"Buzz Burhans" <[email protected]>

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