Where did you find the function forecast? It is NOT a standard R
function.
I just tried 'methods(class=ar)', which produced the following:
[1] predict.ar* print.ar*
Non-visible functions are asterisked
The documentation for 'predict.ar' includes the
Hello!
I'm trying to forecast the UK exchange rate. To estimate my model I use
ar() function. However, I can't get a forecast of the exchange rate
using the function forecast().
Regards,
Julija Kackina
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David Duffy [EMAIL PROTECTED] writes:
Date: Mon, 20 Feb 2006 16:43:55 -0600
From: Aldi Kraja [EMAIL PROTECTED]
Hi,
Using package gclus in R, I have created some graphs that show the
trends within subgroups of data and correlations among 9 variables (v1-v9).
Being interested for more
My first thought is to use a random permutation test.
In this setting the main question you need to ask is
what distance measure do you want to use between
variance matrices -- there are lots of choices. One
that I've found useful is the absolute value of the
maximum eigenvalue of the difference
Thank you Patrick for your thoughts.
I was expecting someone had written a function that does maybe a
hierarchical comparison of var-covar matrices using the flury hierarchy
as proposed by
Philips and Arnold in Evolution 53(5), 1999;1506-1515. But your email
has an interesting idea, so I will
Date: Mon, 20 Feb 2006 16:43:55 -0600
From: Aldi Kraja [EMAIL PROTECTED]
Hi,
Using package gclus in R, I have created some graphs that show the
trends within subgroups of data and correlations among 9 variables (v1-v9).
Being interested for more details on these data I have produced also
Hi,
Using package gclus in R, I have created some graphs that show the
trends within subgroups of data and correlations among 9 variables (v1-v9).
Being interested for more details on these data I have produced also the
var-covar matrices.
Question: From a pair of two subsets of data (with 9
hi all
i would like to fit VAR, vector autoregressive models, to a data set. is
there a package in R that does this?__
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PLEASE do read the posting guide!
Hi,
I want to estimate a VAR-model and calculate the impulse response function and
a variance decomposition. I am familiar with standard R-functions, like e.g.
arima. But I have not found equivalent functions to estimate a VAR-modell.
Are there any functions available or which R-package can I
Marc Gronwald wrote:
Hi,
I want to estimate a VAR-model and calculate the impulse response function and
a variance decomposition. I am familiar with standard R-functions, like e.g.
arima. But I have not found equivalent functions to estimate a VAR-modell.
Are there any functions available or
[EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
I am an R newbie. I have a problem with computing a variance
on a vector.
data(cars) variance - function (x) mean(x^2)-mean(x)^2;
variance(cars[,1])
[1] 27.4
var(cars[,1])
[1] 27.95918
What did I assume/understand wrong ?
You wrongly
[EMAIL PROTECTED] schrieb:
Hello
I am an R newbie. I have a problem with computing a variance on a vector.
data(cars)
variance - function (x) mean(x^2)-mean(x)^2;
variance(cars[,1])
[1] 27.4
var(cars[,1])
[1] 27.95918
What did I assume/understand wrong ?
TIA
Hello,
Regarding a new problem:
for (i in 1:5) { z - clara(adata, i) plot(z) }
in the above code in the plot screen
I get something like: clusplot(clara(x=adata,i)) as title;
inthe2ndtype of plot I get
silhouete plot of clara(x=adata,k=i,samples=50)
How can
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