I have never used it, but I think the reshape and/or reshape2 packages
are designed for it.
Check the melt() and cast() functions in these packages... I guess...
Ivan
Le 3/4/2011 11:33, Dmitrij Kudriavcev a écrit :
Hello, no. I need to change data format, so i can build covariance matrix on
it
Cheers,
Dima
2011/3/4 Alberto Negron<albertoneg...@gmail.com>
Can't you just convert you df as follow matrix<- as.matrix(s) ?
Double check it as I am a newbie too. :-)
Regards,
Alberto
On 4 March 2011 06:08, Dmitrij Kudriavcev<dimitrij.kudriav...@ntsg.lt>wrote:
Hello
I'm a new in R
I have a large data.frame "s" (this is actualy just a table in mysql) :
names(s)
[1] "symbols", "day", "value"
I need to convert it to simple matrix. I have define this matrix like
this:
data.matrix<- matrix(nrow=nDays, ncol=nSymbols, dimnames=list(days,
symbols))
then i just copy values to the matrix using for() loop, but it seems to
take
very long time. Is is a more fast way to do it in R? I know, what i can
just
gyve s$value as source data to the matrix, but problem is, what for some
symbols couple days could be just missed.
Cheers,
Dima
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