Hello Jason,
if you put your t-test into an r-object, like here (taken from the documentary
example):
t.test <- pairwise.t.test(Ozone, Month)
you can get the table with
t.test$p.value
also you can get a lot of other stuff. you can see what's available with
"str(t.test)".
hope that's what you'
One of the most important concepts is most certainly Stationarity (see “unit
root test").
the most common r-package will be: tseries.
see:
Brockwell/Davis (2006): Time Series: Theory and Models.
Brockwell/Davis (2002): Introduction to Time Series and Forecasting.
Cowpertwait/Metcalfe (2009): Intr
Google.com -> “cran rcurl“
"windows binary not available" -> read me
skip through file, find:
“Packages
GLMMGibbs, RCurl, XMLRPC, XML, gridSVG, survnnet, yags
do not build out of the box or other special in other circumstances.
Nevertheless these are available at
http://www.stats.
Hi,
if you're on a mac, I would recommend Automator. If you're on unix I would
recommend a handy bash script with regex. And on windows.. I don't know.. you
could do regex in R, couldn't you?
Am 28.05.2012 um 21:02 schrieb mpavlic:
> Hi all,
>
> I have a set of files (which is growing) in a
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