On Fri, 30 Nov 2018 at 14:40, Eneida Permeti via R-help <
r-help@r-project.org> wrote:
>
> The results of my Granger causality test in r are below. VARp is my VAR
> model and I have two endogenous variables. From the results, I have only
> instantaneous causality. What does it mean?Thank you so
- Forwarded Message - From: Eneida Permeti
To: John C Frain Sent: Friday,
November 30, 2018, 9:24:01 AM PSTSubject: Re: [R] Granger casuality test in r
Dear JohnThank you for responding me.I have attached my data. I am studying
the relationship between Public debt and economic
Reformatting helps because your spreadsheet as currently designed is not
R-friendly or tidy. R data structures include vectors, matrices, data.frames,
and lists. If you try to create your own structure you are just creating
problems for yourself.
Your numeric data are a matrix - all numbers
I'd be interested to know if anyone can replicate what I experienced.
VBox version: 5.1.22 r115126 (Qt5.6.2) Versions of R and OSes below:
On Sun, 18-Nov-2018 at 09:44PM +1300, Patrick Connolly wrote:
|> Sequence of steps:
|>
|> Using R-3.5.1 and Windows 7 with the latest Rstudio, shared
I fit also model with many variables (>100) and I get good result when I
mix several method iteratively, for example: 500 iterations of
Nelder-Mead followed by 500 iterations of BFGS followed by 500
iterations of Nelder-Mead followed by 500 iterations of BFGS etc. until
it stabilized. It can
Hi
You cannot expect any code to give you results precisely according to your
wishes just out of the box.
You could modify x axis by changing format parameter. It is preset to =
"%d/%m",so you could change it to "%Y", if you want to display only year.
format parameter goes to this line in
Dear Petr,
Great!!! It worked. The years are interestingly displayed.
Please one thing more. I want all the data points represented by lines
only and not points. I tried to change type = type to type="l". But it
did work.
Thanks for more assistance.
Ogbos
On Fri, Nov 30, 2018 at 9:24 AM PIKAL
Hi
If you wanted only lines you need to set parameter linky to TRUE (sorry, the
code is around 15 year old and not mentioned to distribution) and it was
extended rather chaotically during years.
so
plot.yy(..., linky=TRUE) add lines
plot.yy(..., linky=TRUE, pch=c(NA,NA)) add lines and remove
- Forwarded Message - From: Eneida Permeti
To: John C Frain Sent: Friday,
November 30, 2018, 9:24:01 AM PSTSubject: Re: [R] Granger casuality test in r
Dear JohnThank you for responding me.I have attached my data. I am studying
the relationship between Public debt and economic
The results of my Granger causality test in r are below. VARp is my VAR model
and I have two endogenous variables. From the results, I have only
instantaneous causality. What does it mean?Thank you so much
> causality(VARp,cause="The.economic.growth")
$Granger
Granger causality H0:
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