Here's a function that does what you asked, you may need to adjust the column
names of your data frames before using it. If all your data frames are
similar (same number of rows, same years) then try do.call('cbind',
yourList).
#This function takes a list of data frames and merges them into one
AmTrust Bank headquartered in Cleveland OH (founded in 1889, one of
the 50 largest banks in the US, with more than $18 billion in assets)
has an opening for a Marketing Statistician in the Business
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===Essential Job Duties:
- Apply various data analysis techniques to address b
> John Sorkin wrote:
> The difference is not so much the language
> as the end users.
> S-Plus, R, SAS, etc. are all similar in that
> they are all tools to an end and not an end
> in themselves.
Try to find one user who:
1. is familiar with both SAS and R/S-Plus;
2. has to do real data analys
> require(tseries)
> ?runs.test
Also, take a look at dieharder, it implements a large number of
randomness tests:
http://www.phy.duke.edu/~rgb/General/dieharder.php
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Park,
> Kyong H Mr ECBC
> Sent:
Another approach which I'm pleased with but was not suggested so far
is jitter + kde2d from MASS:
plot(jitter(x), jitter(y))
if (!exists("kde2d")) require(MASS)
kdesamp <- 2 #depending on your RAM
forkde <- if (kdesamp < length(x)) sample(1:length(x), kdesamp,
replace=FALSE) else 1:length(x)
> Sorry for using library instead package, but
> library() is one command for using packages.
... which is why all efforts to make folks say "package" instead of >>
"library" << are doomed to fail, IMHO. Besides, in English, "library"
also means "a collection of software or data usually reflecting
Run df from R; here's an example (run on Interix):
$ df /dev/fs/C/WINDOWS
Filesystem 512-blocks Used Available Capacity Type Mounted on
//HarddiskVolume2 77706400 34632424 4307397645% ntfs /dev/fs/C
See man df for details.
> -Original Message-
> From: [EMAIL
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