[R-sig-teaching] Optimizing loop

[Manel Amado Martí]

Ok, thanks to your help, and suggestions.





Manel Amado i Martí
Cap d'Assessoria de Comerç Interior
amado at cambrasabadell.org<mailto:amado at cambrasabadell.org>
Tel. 93 745 12 63 · Fax 93 745 12 64

[Segueix-nos a Facebook]<https://www.facebook.com/cambrasabadell>  [Segueix-nos a Twitter] <https://twitter.com/CambraSabadell>   [Segueix-nos a LinkedIn] <http://www.linkedin.com/company/cambra-de-comer-de-sabadell?trk=company_name>
Av. Francesc Macià, 35 · 08206 Sabadell
Apt. corr. 119 · www.cambrasabadell.org<http://www.cambrasabadell.org>




De: Albyn Jones [mailto:jones at reed.edu]
Enviat: dijous, 5 / febrer / 2015 20:46
Per a: Ulises M. Alvarez
A/c: Manel Amado Martí; r-sig-teaching at r-project.org
Tema: Re: [R-sig-teaching] Optimizing loop

Actually, this question should be re-directed to the R-Help list - it is not about teaching with R.

albyn

On Thu, Feb 5, 2015 at 9:09 AM, Ulises M. Alvarez <uma at sophie.unam.mx<mailto:uma at sophie.unam.mx>> wrote:
On 02/05/2015 02:08 AM, Manel Amado Martí wrote:
I'm processing a table database. To do that, I put it in a dataframe, and then I do the data processing (normalization of some fields). I'm used to program in C, and some R's facilities are not so natural to me, please, excuse me if the question is for "dummies".
In the processing, I want to substitute some field's value depending on the previous content. For example, if field starts with a digit instead of an alpha character, the entire field from the actual row, I'll replace it with "SOLPD". I'm sure that would be another way (maybe through some apply function), but I can't figure how to do.
The code that I'm using now, is:
for( i in 1:nrow(dataframe2)) {
         if(is.na<http://is.na>(dataframe2[i,"NIF/NIE"])==FALSE){
                 if(str_locate(dataframe2[i,"NIF/NIE"],"\\d<file:///\\d>")[1]<2){
                         sprintf("elimina NIF aut�nom: % i\n",i)
                         dataframe2[i,"NIF"]<-"SLOPD"}
                 }
         }
}

Thank you for your attention!

Hi:

You may take a look at the dplyr library:

https://github.com/hadley/dplyr

If you provide a small, reproducible example, we may provide further help.
--
Ulises M. Alvarez
http://sophie.unam.mx/

_______________________________________________
R-sig-teaching at r-project.org<mailto:R-sig-teaching at r-project.org> mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-teaching


	[[alternative HTML version deleted]]