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
Intelligence group.
===Essential Job Duties:
- Apply various data analysis techniques to address
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 analysis
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:
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 a
specific
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)
d -
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