all(vector[1]==vector)
should be quick.
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and
and ?ClarkCapeCod for help on running Clark's two methods.
Please contact the author, Daniel Murphy at chiefmurph _at_ yahoo.com, with
questions, suggestions, ideas or problems.
If anyone is interested in collaborating to develop additional ChainLadder
package functionality, do not hesitate
I have a 100x2 matrix to go into a package. I could type it into the R code
but, more generally, what is the *best* way to read a table from disk into,
say, package 'foo' when it is loaded into memory via library(foo)? I thought
of having .onLoad create an environment and assign a matrix read from
If you want to use the mondate package you will need to specify the day of
the month. Dates March-2010 and May-2010 are ambiguous. Recommend you
choose last day of both months as representative days. Then those days
will be integer months apart.
a-mondate(March 31, 2010, displayFormat=%B %d, %Y)
Nevermind, I figured out my problem after looking at the packS4 package.
I didn't realize that package.skeleton would build invalid R code. The
warning hints at that, but I interpreted the warning to mean that the
package.skeleton-generated code should be *edited*, and none of my edits
gave me a
I am a newbie package builder who successfully built a Hello world package
but am now having trouble building a package with S4 functionality. I
thought I would start by building a package consisting of just the first
example under the setGeneric help page in a fresh 2.10.0 (windows) console
I am using curve3d in the emdbook package to graph a gaussian copula density
function generated via the copula package. Unfortunately, it appears that
emdbook masks dmvnorm from the package mvtnorm in a way that prohibits
copula from generating the gaussian copula. (Sounds very confusing!) For
When the 'by' function forms subsets, are the rows in the same order as they
are in the original data frame?
For example, I want to use 'by' to calculate cumulative sums of a value 'v'
by date 'd' for different levels of a factor 'f':
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