Dear Jim,
with the help of Ted, we diagnosed that the cause is in the extreme
variability in line length during reading in. As the table column number
is apparently determined fro mthe first five lines, what exceeds this
length gets automatically on the next line.
I am now trying to find a way to read in the data despite this. I have
no control over the table extent, the only thing that would make sense
according to my data would be to read in a fixed number of columns and
merge all remaining columns as a long string in the last one. No idea
how to do this, though.
Thanks
Martin
jim holtman wrote:
It is still not clear to me exactly how you want to read the lines
in. If the lines have a variable number of fields, and some of the
lines might be wrapped, is there some way to determine where the start
of each line is.
If you are reading them in with read.csv, then the system is assuming
that each line starts a new row. If this is not the case, then you
will have to state the rules that determine where the lines start.
You can always read the data in with 'scan' to separate each line and
then do whatever processing is required to put together the rows in a
data frame that you want.
In one of your examples, you indicated that the line was split
starting at the word "kempten"; if this is in the middle of the line,
then you would have to create the break after reading the line in with
'scan' and then creating the rows in the dataframe. All of this can
be done in R if you can state what the criteria is.
On Sat, May 30, 2009 at 4:32 AM, Martin Tomko <martin.to...@geo.uzh.ch
<mailto:martin.to...@geo.uzh.ch>> wrote:
Jim,
the two lines I put in are the actual problematic input lines.
In these examples, there are no quotes nor # signs, although I
have no means to make sure they do not occur in the inputs (any
hints how I could deal with that?).
I am trying to avoid as much pre-processing outside R as possible,
and I have to process about 500 files with up to 3000 records
each, so I need a more or less automated/batch solution. - so any
string substitution will have to occur in R. But for the moment, I
do not see a reaason for substitution, and the wrapping still occurs.
Cheers
Martin
jim holtman wrote:
You need to supply the actual input line so we can see what is
happening. Are you sure you do not have unbalanced quotes in
your input (try quote='') or do you have comment characters
("#") in your input?
On Fri, May 29, 2009 at 3:15 PM, Martin Tomko
<martin.to...@geo.uzh.ch <mailto:martin.to...@geo.uzh.ch>
<mailto:martin.to...@geo.uzh.ch
<mailto:martin.to...@geo.uzh.ch>>> wrote:
Dear All,
I am observing a strange behavior and searching the
archives and
help pages didn't help much.
I have a csv with a variable number of fields in each line.
I use
dataPoints <- read.csv(inputFile, head=FALSE, sep=";",fill
=TRUE);
to read it in, and it works. But - some lines are long and
'wrap',
or split and continue on the next line. So when I check the
dim of
the frame, they are not correct and I can see when I do a
printout
that the lines is split into two in the frame. I checked
the input
file and all is good.
an example of the input is:
37;2175168475;13;8.522729;47.19537;16366...@n00;30;sculpture;bird;tourism;animal;statue;canon;eos;rebel;schweiz;switzerland;eagle;swiss;adler;skulptur;zug;1750;28;tamron;f28;canton;tourismus;vogel;baar;kanton;xti;tamron1750;1750mm;tamron1750mm;400d;rabbitriotnet;
where the last values occurs on the next line in the data
frame.
It does not have to be the last value, as in the follwong
example,
the word "kempten" starts the next line:
39;167757703;12;10.309295;47.724545;21903...@n00;36;white;building;tower;clock;clouds;germany;bayern;deutschland;bavaria;europa;europe;eagle;adler;eu;wolke;dome;townhall;rathaus;turm;weiss;allemagne;europeanunion;bundesrepublik;gebaeude;glocke;brd;allgau;kuppel;europ;kempten;niemcy;europo;federalrepublic;europaischeunion;europaeischeunion;germanio;
What could be the reason?
I ws thinking about solving the issue by using a different
separator, that I would use for the first 7 fields and
concatenating all of the remaining values into a single stirng
value, but could not figure out how to do such a
substitution in
R. Unfortunately, on my system I cannot specify a range for
sed...
Thanks for any help/pointers
Martin
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
--
Martin Tomko
Postdoctoral Research Assistant
Geographic Information Systems Division
Department of Geography
University of Zurich - Irchel
Winterthurerstr. 190
CH-8057 Zurich, Switzerland
email: martin.to...@geo.uzh.ch
site: http://www.geo.uzh.ch/~mtomko
mob: +41-788 629 558
tel: +41-44-6355256
fax: +41-44-6356848
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