Hi!
On 08/24/2011 07:46 PM, David Winsemius wrote:
I was looking for an elegant solution ;) In the real case I have double
values and this would be quite inefficient then.
Still no r-code:
Then what about rank(order(...) , further-ties.method-argument) ?
I think that, as order() always
Hi!
On 08/24/2011 07:46 PM, David Winsemius wrote:
I was looking for an elegant solution ;) In the real case I have double
values and this would be quite inefficient then.
Still no r-code:
Then what about rank(order(...) , further-ties.method-argument) ?
I think that, as order() always
Hello,
I'd like to rank rows of a data frame similar to what rank() does for
vectors. However, ties should be broken by columns that I specify. If it
is not possible to break a ties (because the row data is essentially the
same), I'd like to have the same flexibility that rank() offers. Is
Hi!
I'd like to rank rows of a data frame similar to what rank() does
for vectors. However, ties should be broken by columns that I
specify. If it is not possible to break a ties (because the row data
is essentially the same), I'd like to have the same flexibility that
rank() offers. Is
Hi!
in R? Basically, what I need is a mixture of order() and rank().
While the former allows to specify multiple vectors, it doesn't
provide the flexibility of rank() such that I can specify what
happens if ties can not be broken.
An example of this simple problem would clarify this greatly.
Hello,
is there an elegant way, how I can convert each row of a data frame into
distinct elements of a list?
In essence, what I'm looking for is something like
rows.to.lists - function( df ) {
ll - NULL
for( i in 1:nrow(df) )
ll - append( ll, list(df[i,]) )
Hi!
On 03/02/2010 02:22 PM, Nutter, Benjamin wrote:
as.data.frame(t(df))
For example
x- as.data.frame(t(mtcars))
typeof(x)
[1] list
Thanks for the quick reply!
I would never have guessed that as.data.frame() works that way!
BTW
This one seems also to do the trick:
rows.to.list -
Hello,
I'm currently using the unif_rand() function of R to get a random number
from the uniform distribution in the C-part of a R package. The
unif_rand() is heavily used. Now I would like to spawn several threads
within the package in which the function is also heavily used. Is it
safe and
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