Testing for an NFS effect on the failure of 'make check':
Try first on /usr/local/
9:42cd /usr/local/src/
9:42sudo mkdir R
9:43 sudo chown mdalphin:mdalphin R
9:43 cd R
9:43 gunzip -c /opt/apps/x86_64/R/Archive/R-3.2.5.tar.gz | tar xf -
Ideally they should all work. What is happening is that the current
implementation of complex assignment wants to use a temporary variable
named *tmp*, which it can't when the evaluation environment is locked.
Assignments in compiled code use a different mechanism that I hope
will eventually be po
Note that cophenetic.default (which works on the output of hclust(dist(X)))
uses the
row names of X as labels. as.dendrogram.hclust does not retain those row
names
so cophenetic.dendrogram cannot use them (so it orders them based on the
topology of the dendrogram).
Bill Dunlap
TIBCO Software
wdun
I think the results differ only in the order of the labels. The following
function
puts the labels in a standard order and then the results are the same:
canonicalize.dist <- function (distObject)
{
o <- order(labels(distObject))
as.matrix(distObject)[o, o, drop = FALSE]
}
ide
Hmm. I don't think this has been seen by other Ubuntu users, or other Linuxen
for that matter.
You have a gratuitous use of "&", but I don't really see how that would give
these symptoms, unless you accidentally run a command twice, creating a race
condition between two background processes.
Hello,
I have been using the "cophenetic" function for objects of class "dendrogram"
and I have realised that it gives different results when it is used with
objects of class "hclust". For instance, running the first example in the help
file of the "cophenetic" function,
d1 <- dist(USArrests
make check-all
?
On 21 Apr 2016, at 10:23 , Francisco Banha wrote:
> Hello,
>
> I'm currently working on a project where I have to make chages to the source
> code of R itself. By doing this it's possible that I mess something up and
> make R stop working correctly.
> Can anyone tell me if
Hello,
I'm currently working on a project where I have to make chages to the source
code of R itself. By doing this it's possible that I mess something up and make
R stop working correctly.
Can anyone tell me if there are some benchmarks that test the whole R language
or at least the most impor
