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From |
John Bensin <johnalexbensin@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Is there a better way to transpose a dataset and automatically label variables based on a string variable? |

Date |
Fri, 21 Jun 2013 09:55:49 -0500 |

That is much simpler; thank you for the help! John On Fri, Jun 21, 2013 at 9:08 AM, Nick Cox <njcoxstata@gmail.com> wrote: > I am the author of the -sxpose- (SSC) referred to; it is as stated > designed to transpose a string variable dataset. What you did comes > with a warning, so I readily agree that it is not a good solution. > > With your dataset, I can save the string values, -drop- that variable, > -xpose- and then copy back. > > . l > +---------------------------------------------------+ > | varlabels category diff_c~y catego~3 | > |---------------------------------------------------| > 1. | Some label .79221 .67874 .70605 | > 2. | Another label .95949 .75774 .031833 | > 3. | Additional label .65574 .74313 .27692 | > 4. | Fourth label .035712 .39223 .046171 | > 5. | Fifth label .84913 .65548 .097132 | > |---------------------------------------------------| > 6. | Final label .93399 .17119 .82346 | > +---------------------------------------------------+ > . forval i = 1/6 { > 2. local label`i' = varlabels[`i'] > 3. } > . drop varlabels > . xpose, clear > . l > +--------------------------------------------------------+ > | v1 v2 v3 v4 v5 v6 | > |--------------------------------------------------------| > 1. | .79221 .95949 .65574 .035712 .84913 .93399 | > 2. | .67874 .75774 .74313 .39223 .65548 .17119 | > 3. | .70605 .031833 .27692 .046171 .097132 .82346 | > +--------------------------------------------------------+ > . forval i = 1/6 { > 2. label var v`i' "`label`i''" > 3. } > > This could be programmed up for more general situations. > . > Nick > njcoxstata@gmail.com > > > On 21 June 2013 14:40, John Bensin <johnalexbensin@gmail.com> wrote: >> It looks like my email client mangled my first post, and I think the >> formatting is relevant for the data sections, so I'll try this again. >> >> I have several datasets that fit this general format (variable names >> are in the first row): >> >> >> varlabels category diff_category category3 >> "Some label" 0.79221 0.67874 0.70605 >> "Another label" 0.95949 0.75774 0.031833 >> "Additional label" 0.65574 0.74313 0.27692 >> "Fourth label" 0.035712 0.39223 0.046171 >> "Fifth label" 0.84913 0.65548 0.097132 >> "Final label" 0.93399 0.17119 0.82346 >> >> >> My goal is to use Stata 12 to get them into this format: >> >> _var1 _var2 _var3 _var4 _var5 _var6 cat >> 0.792210 0.959490 0.655740 0.035712 0.849130 0.933990 >> "category" >> 0.678740 0.757740 0.743130 0.392230 0.655480 0.171190 >> "diff category" >> 0.706050 0.031833 0.276920 0.046171 0.097132 0.823460 >> "category3" >> >> where _var1 is labelled "Some label", _var2 is labelled "Another >> label", etc. The datasets are different and numerous enough that >> labelling the variables individually isn't possible. The names of the >> category variables aren't predictable either. >> >> My current solution is to improvise with Mata, xpose, and destring/tostring >> >> >> clear >> input str50 varlabels category diff_category category3 >> "Some label" -18.2059 0.67874 105869.3 >> "Another label" 0.95949 598.165 0.031833 >> "Additional label" 0.65574 0.74313 0.27692 >> "Fourth label" 194 0.39223 0.046171 >> "Fifth label" 0.84913 394.069 -5968387 >> "Final label" 0.93399 0.17119 0.82346 >> end >> >> putmata varlabels, replace >> >> mata >> varlabels = varlabels' >> end >> >> xpose, clear varname >> tostring v*, force usedisplayformat replace >> getmata (v*)=varlabels, update force >> >> foreach v of varlist v* { >> local name = `v'[1] >> lab var `v' "`name'" >> } >> >> drop if _varname == "varlabels" >> destring, replace >> >> >> >> Although this works, I question if there is a better way because I see >> a few problems with this: >> >> 1. The combination of tostring/destring may cause a loss of precision, >> according to Stata's warnings. >> >> 2. The --getmata-- call forces the vector of labels into the first >> observation, which seems clunky. Is it safe to always rely on this >> working or do I risk overwriting data? >> >> I also pursued a solution using the --sxpose-- command from the SSC: >> >> >> clear >> input str50 varlabels category diff_category category3 >> "Some label" 0.79221 0.67874 0.70605 >> "Another label" 0.95949 0.75774 0.031833 >> "Additional label" 0.65574 0.74313 0.27692 >> "Fourth label" 0.035712 0.39223 0.046171 >> "Fifth label" 0.84913 0.65548 0.097132 >> "Final label" 0.93399 0.17119 0.82346 >> end >> >> sxpose, clear force >> >> foreach v of varlist _var* { >> local name = `v'[1] >> lab var `v' "`name'" >> } >> >> >> This costs me the names of the category variables, which I need to >> preserve, as well as some accuracy. It yields data that look like >> this: >> >> _var1 _var2 _var3 _var4 >> _var5 _var6 >> Some label Another label Additional label Fourth label >> Fifth label Final label >> 0.792209983 0.959490001 0.655740023 0.035712 >> 0.849129975 0.933990002 >> 0.678740025 0.757740021 0.743130028 0.392230004 >> 0.655480027 0.171189994 >> 0.706049979 0.031833001 0.276919991 0.046170998 >> 0.097131997 0.823459983 >> >> >> Any suggestions? I'm happy to continue with my Mata/xpose solution if >> it won't cost me data, but if there's a better solution I'll use it. > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Is there a better way to transpose a dataset and automatically label variables based on a string variable?***From:*John Bensin <johnalexbensin@gmail.com>

**Re: st: Is there a better way to transpose a dataset and automatically label variables based on a string variable?***From:*John Bensin <johnalexbensin@gmail.com>

**Re: st: Is there a better way to transpose a dataset and automatically label variables based on a string variable?***From:*Nick Cox <njcoxstata@gmail.com>

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