nd several future projects
much more streamlined.
Regards,
Mendi
De : Rui Barradas
Cc : "r-help@r-project.org"
Envoyé le : Mercredi 3 avril 2013 3h43
Objet : Re: [R] Iterative regression through a series
Hello,
I've made a samll change t
"triskell4-umbre...@yahoo.fr"
Cc : "r-help@r-project.org"
Envoyé le : Mardi 2 avril 2013 11h51
Objet : Re: [R] Iterative regression through a series
Hello,
The error comes from NAs where you would expect coefficients. Try the
following.
set.seed(7511) # Make the example repro
> Mendi
>
>
>
> De : Michael Weylandt
> À : Rui Barradas
>
> @r-project.org"
> Envoyé le : Mardi 2 avril 2013 11h58
> Objet : Re: [R] Iterative regression through a series
>
> Also look at zoo's rollapply.
>
> MW
.
Mendi
De : Michael Weylandt
À : Rui Barradas
@r-project.org"
Envoyé le : Mardi 2 avril 2013 11h58
Objet : Re: [R] Iterative regression through a series
Also look at zoo's rollapply.
MW
On Apr 2, 2013, at 13:51, Rui Barradas wrote:
>
: Rui Barradas
Cc : "r-help@r-project.org"
Envoyé le : Mardi 2 avril 2013 11h51
Objet : Re: [R] Iterative regression through a series
Hello,
The error comes from NAs where you would expect coefficients. Try the
following.
set.seed(7511) # Make the example reproducible
N <-
Also look at zoo's rollapply.
MW
On Apr 2, 2013, at 13:51, Rui Barradas wrote:
> Hello,
>
> The error comes from NAs where you would expect coefficients. Try the
> following.
>
>
>
> set.seed(7511) # Make the example reproducible
>
> N <- 100
> Time <-1:N
> Price <- rnorm(N, 8, 2)
>
>
Hello,
The error comes from NAs where you would expect coefficients. Try the
following.
set.seed(7511) # Make the example reproducible
N <- 100
Time <-1:N
Price <- rnorm(N, 8, 2)
estim <- numeric(N) # It's better to allocate the results
error <- numeric(N) # vectors in advance
for (i
Hello,
Some context: let's say I have a data series (let's call it PRICE, for
simplicity), sample size N. I have a desire to regress that on TIME, and then
to use the TIME and intercept coefficients to predict the price in the next
period and to use the standard error to calculate a confiden
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