On Tue, 3 Jan 2012, David Winsemius wrote:
burns.tds[ !duplicated(burns.tds) , ]
Apparently it does not matter if the site column in the data frame is a
factor or a character, read.zoo() generates the same error. Applying the
above produces a long list starting with:
burns.tds[!duplicated(burns.tds), ]
site sampdate quant
599 BC-3 1992-03-27 0.100
600 BC-3 1992-04-30 0.100
601 BC-3 1992-05-30 0.100
603 BC-3 1992-06-19 0.100
1214 BC-3 1992-07-20 0.100
1215 BC-3 1992-08-10 0.100
1216 BC-3 1992-09-30 0.100
1217 BC-3 1992-10-29 0.100
1218 BC-3 1992-11-19 0.100
1929 BC-3 1995-03-23 8.080
I don't know how to interpret this. I don't see two rows with the same
values, but ~ 500 rows each with a different value. What is duplicated? The
entire row? The site ID?
?duplicated has some examples, but those do not show the output of the
function nor explain what's duplicated.
I need to get past this blockage and appreciate your help in determining
why read.zoo() sees duplicates when the database table has none, and how to
resolve this issue.
TIA,
Rich
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