This is a rather broad request. If you are looking for help understanding
these topics, you should probably ask in a forum where statistical theory
is on topic (e.g. stats.stackexchange.com), since in this forum you should
already have a good idea of what algorithms you want to apply and in what
sequence and be asking about how to get R to do that. In practically all
cases you should have some reproducible (including sample data) code that
illustrates how far you have come, and specific questions about how to
link the dots. Sample data is crucial.
I also highly recommend reading the vignettes and documentation associated
with each the packages you plan to use. For example, functions in the
"zoo" (note that capitalization matters) package can be used to create
rolling averages, and then those results can be given to functions in
another package (such as "vars"... note again that capitalization makes a
difference) to analyze the original data along with the zoo results.
While there may be experts in both packages you name lurking in this
forum, often people may only be familiar with one or none of the packages
you name but they may be able to interpret why something you are trying to
do is not working if they can reproduce what you have already done. There
are thousands of different R packages, but not nearly so many active
helpers on R-help.
Also, you can use the "findFn" function in the "sos" package to search for
"granger causality" among all available R packages on CRAN and find that
there are several packages that match, so the "vars" package is not your
only option.
Try reading [1] to get a feel for how to communicate your problem
effectively.
[1]
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
On Sun, 12 Jul 2015, Syed Jawad Hussain Shahzad wrote:
Dear Sir, Hi
I am new to R and want some help on the subject analysis. I need help
to apply causality analysis (available in Package 'VARS') with a
per-define rolling window (like rollapply in Package 'Zoo').
Best Wishes
Jawad
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