Thanks Roger, I've been using this to bind rows
together, where I don't necessarily have the exact
same columns in each table. It seems to work fine for
that, so I hadn't noticed that it didn't actually
merge floating points. However, it looks like merging
will work, if you can afford to round off
On Fri, 8 Sep 2006, Mikkel Grum wrote:
> merge(Table1, Table2,
>by = intersect(c("XCOORD", "YCOORD"),
>c("XCOORD", "YCOORD")), all = TRUE)
>
> It might not handle the amount of data you have, but,
> if your tables are normal dataframes, it would do the
> job with a smaller dataset. It d
merge(Table1, Table2,
by = intersect(c("XCOORD", "YCOORD"),
c("XCOORD", "YCOORD")), all = TRUE)
It might not handle the amount of data you have, but,
if your tables are normal dataframes, it would do the
job with a smaller dataset. It doesn't work with
Spatial*DataFrames (yet?).
Mikkel
-
On Fri, 8 Sep 2006, Michael Sumner wrote:
> Hello, I can think of a couple of simple-minded approaches that would
> take some time - either relying on direct string-matching for the unique
> coordinates, or by some contrived overlay.
>
> However, there's probably far better approaches - a coupl
Hello, I can think of a couple of simple-minded approaches that would
take some time - either relying on direct string-matching for the unique
coordinates, or by some contrived overlay.
However, there's probably far better approaches - a couple of questions:
Can you predefine the set of all uni
Hi everyone!
I have 100 tables of the form:
XCOORD,YCOORD,OBSERVATION
27.47500,42.52641,177
27.48788,42.52641,177
27.50075,42.52641,179
27.51362,42.52641,178
27.52650,42.52641,180
27.53937,42.52641,178
27.55225,42.52641,181
27.56512,42.52641,177
27.57800,42.52641,181
27.59087,42.52641,181
27.60375,
