Emmanuel Charpentier wrote:
Dear list,
I have to read a not-so-small bunch of not-so-small Excel files, which seem to have traversed Window 3.1, Windows95 and Windows NT versions of the thing (with maybe a Mac or two thrown in for good measure...). The problem is that 1) I need to read strings, and 2) those strings may have various encodings. In the same sheet of the same file, some cells may be latin1, some UTF-8 and some CP437 (!).

read.xls() alows me to read those things in sets of dataframes. my problem is to convert the encodings to UTF8 without cloberring those who are already (looking like) UTF8.

I came to the following solution :

foo<-function(d, from="latin1",to="UTF-8"){
  # Semi-smart conversion of a dataframe between charsets.
  # Needed to ease use of those [EMAIL PROTECTED] Excel files
  # that have survived the Win3.1 --> Win95 --> NT transition,
  # usually in poor shape..
  conv1<-function(v,from,to) {
    condconv<-function(v,from,to) {
      cnv<-is.na(iconv(v,to,to))
      v[cnv]<-iconv(v[cnv],from,to)
      return(v)
    }
    if (is.factor(v)) {
      l<-condconv(levels(v),from,to)
      levels(v)<-l
      return(v)
    }
    else if (is.character(v)) return(condconv(v,from,to))
    else return(v)
  }
  for(i in names(d)) d[,i]<-conv1(d[,i],from,to)
  return(d)
}

Any advice for enhancement is welcome...
This looks reasonably sane, I think. The last loop could be d[] <- lapply(d, conv1, from, to), but I think that is cosmetic. You can't really do much better because there is no simple way of distinguishing between the various 8-bit character sets. You could presumably setup some heuristics. like the fact that the occurrence of 0x82 or 0x8a probably indicates cp437, but it gets tricky. (At least, in French, you don't have the Danish/Norwegian peculiarity that upper/lowercase o-slash were missing in cp437, and therefore often replaced yen and cent symbols in matrix printer ROMs. We still get the occational parcel addressed to "¥ster Farimagsgade".)

--
  O__  ---- Peter Dalgaard             Øster Farimagsgade 5, Entr.B
 c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen   Denmark      Ph:  (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED])              FAX: (+45) 35327907

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