so useful, but may wait for another
day.
Enjoy the days,
cur
--
Curt Seeliger, Data Ranger
Raytheon Information Services - Contractor to ORD
seeliger.c...@epa.gov
541/754-4638
"William Dunlap" wrote on 02/10/2009 03:17:40 PM:
> [image removed]
>
> Re: [R] aggregat
To quickly see if any duplicates exist you could use table() and
checking for entries that are more than 1. Use na.omit()
on the entire data.frame before passing it to table. E.g.,
tmp <- with(na.omit(df1), table(parameter, station, site))
sum(tmp>1) # number of parameter/station/site keys
Folks,
I'm checking the structure of a dataframe for duplicate parameters at a
site station (i.e depth should be measured once, not twice), using
aggregate to count each parameter within a site station. The fake data
below has only 26000 rows, and takes roughly 14 seconds. My real data has
7
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