Hi
I have some data with these dimensions:
5 3 100
which correspond to the x, y, and time dimensions, for a variable, p.
I need the data in this format: 100 rows (1 row per time unit), and 15
values in each row.
I have attempted to reshape my data
dim(data)
5 3 100
XYT - array(1:150, dim=c(3,5,10))
XYbyT= matrix(apply(XYT, 3, I), ncol=10)
...or even...
XYbyT= matrix(XYT, ncol=10)
--
David.
On Sep 19, 2009, at 1:11 PM, Xi Ang wrote:
Hi
I have some data with these dimensions:
5 3 100
which correspond to the x, y, and time dimensions, for a
Thanks for your reply.
Is there a way I can save the data to an ascii file without losing the
row/column structure?
I have tried save(...) and write.table(...) but the output file seems to
jumble up the order of the matrix.
Thanks
Xi
David Winsemius wrote:
XYT - array(1:150,
?cat
?apply
?t
You could follow each row of the transposed matrix with a newline:
apply(t(XYbyT), 1, function(x) cat(x, \n, file=output.txt,
append=TRUE) )
On Sep 19, 2009, at 8:11 PM, Xi Ang wrote:
Thanks for your reply.
Is there a way I can save the data to an ascii file without
Another possiblity:
write.table( t(XYbyT), file=outcsv.csv, sep=\t)
On Sep 19, 2009, at 9:16 PM, David Winsemius wrote:
?cat
?apply
?t
You could follow each row of the transposed matrix with a newline:
apply(t(XYbyT), 1, function(x) cat(x, \n, file=output.txt,
append=TRUE) )
On Sep
If the only reason you want to save it is to later read it
back into R later then see ?dump or even ?save
On Sat, Sep 19, 2009 at 8:11 PM, Xi Ang slideprojec...@gmail.com wrote:
Thanks for your reply.
Is there a way I can save the data to an ascii file without losing the
row/column
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