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
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'
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
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.
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