[R] Finding not-matching rows in tables

ONKELINX, Thierry Thierry.ONKELINX at inbo.be
Wed Feb 7 14:54:40 CET 2007


That's something for the %in% command. Try this (untested!)

tab[(tab$id %in% tabella$id) == FALSE, ]

Cheers,

Thierry

------------------------------------------------------------------------
----

ir. Thierry Onkelinx

Instituut voor natuur- en bosonderzoek / Reseach Institute for Nature
and Forest

Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance

Gaverstraat 4

9500 Geraardsbergen

Belgium

tel. + 32 54/436 185

Thierry.Onkelinx op inbo.be

www.inbo.be 

 

Do not put your faith in what statistics say until you have carefully
considered what they do not say.  ~William W. Watt

A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney


-----Oorspronkelijk bericht-----
Van: r-help-bounces op stat.math.ethz.ch
[mailto:r-help-bounces op stat.math.ethz.ch] Namens Vittorio
Verzonden: woensdag 7 februari 2007 14:24
Aan: r-help op stat.math.ethz.ch
Onderwerp: [R] Finding not-matching rows in tables

I have these two dataframes in which 'id' is the key field
> tabella
   
id          nome
1   1      PIEMONTE
2   2  VALLED'AOSTA
3   3     
LOMBARDIA
4   4      TRENTINO
5   5        VENETO
6   6        FRIULI

AND

> tab
   id          nome
1   1      PIEMONTE
2   2  VALLED'AOSTA
3   3     LOMBARDIA
4   4      TRENTINO
5  25     CAMPANIA
6  28       
LAZIO

Is there any R-one-command able to select the only rows of tab 
that are not present in tabella, matching the two tables on 'id'?  The 
result should be

5  25     CAMPANIA
6  28       LAZIO

I was able to 
obtain this results by means of the merge command merging the two 
tables and selecting according to the <NA> fields, therefore in two 
steps....

Ciao
Vittorio

______________________________________________
R-help op stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.



More information about the R-help mailing list