Thanks Eric.
Is it possible to know what R uses as the initial values? Are these
configurable?
On Fri, 12 Aug 2022 at 13:44, Eric Berger wrote:
> The model that you are fitting to the data is an AR(2) model, which means
>
> y(t) = a0 + a1 * y(t-1) + a2 * y(t-2) + eps(t) (1)
>
>
The model that you are fitting to the data is an AR(2) model, which means
y(t) = a0 + a1 * y(t-1) + a2 * y(t-2) + eps(t) (1)
The fitting procedure estimates the coefficients a0, a1, a2 (and the
variance of eps).
After the coefficients have been estimated, the fitted values can be
Hi,
I have below AR model and fitted values from the forecast package
library(forecast)
dta = c(5.0, 11, 16, 23, 36, 58, 29, 20, 10, 8, 3, 0, 0, 2, 11, 27, 47, 63,
60, 39)
fit <- arima(dta, order=c(2,0,0))
fitted(fit)
This gives fitted values as
Time Series:
Start = 1
End = 20
Frequency = 1
[1
Dear list,
I have run two ancova models with the same data, one where the covariate Length
was centered by Site (group mean centered), the other with Length not centered.
The package "car" was used. The models are:
ancova1a <- lm(log10(Weight) ~ LenCtd2 + Site, data = Data2); Length centered
I don't fully understand what you are looking for, but you may want to
check out ?predict, ?predict.lm
On Sat, Aug 24, 2013 at 7:43 AM, alR wrote:
> I have fitted a multiple regression model to the row of a matrix using lm:
>
> ft<-lm(datos[i, ]-r1 + r2+ r3 + r4,keep.data = TRUE,model=TRUE)
>
>
If by fitted values corresponding to each predictor you mean the regression
coefficients , then use
coef(ft)
--
David.
Sent from my iPhone
On Aug 24, 2013, at 6:43 AM, alR wrote:
> I have fitted a multiple regression model to the row of a matrix using lm:
>
> ft<-lm(datos[i, ]-r1 + r2+ r3
I have fitted a multiple regression model to the row of a matrix using lm:
ft<-lm(datos[i, ]-r1 + r2+ r3 + r4,keep.data = TRUE,model=TRUE)
If I use fitted(ft) I get the list of fitted values (which I think is the
mean of the fitted values corresponding to each of the explanatory variables
(r1, r2
a Pilar
> Sent: Monday, March 19, 2012 5:13 AM
> To: r-help@r-project.org
> Subject: [R] fitted values with locfit
>
> Dear memberships,
>
>
>
> I'm trying to estimate the following multivariate local
> regression model using the "locfit" package:
&
On 2012-03-19 02:12, Soberon Velez, Alexandra Pilar wrote:
Dear memberships,
I'm trying to estimate the following multivariate local regression model using the
"locfit" package:
BMI=m1(RCC)+m2(WCC)
where (m1) and (m2) are unknown smooth functions.
My problem is that once I get the regress
Dear memberships,
I'm trying to estimate the following multivariate local regression model using
the "locfit" package:
BMI=m1(RCC)+m2(WCC)
where (m1) and (m2) are unknown smooth functions.
My problem is that once I get the regression done I cannot get the fitted
values of each of this smoo
Wow, thanks for the very detailed reply!
Max
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, r
Hi Max. You're welcome.
Re your question below, the input order is not always preserved: observations
are always reordered by (individual, time) internally, so that the output you
get is ordered accordingly. Most of the time, this is also the order you'd
input them, but this is not necessarily s
Thanks Giovanni and Achim.
Just to confirm - the order of observations in residuals(mymodel) is
exactly the same as in the dataframe that I pass to plm, so that I can
extract the fitted values for an individual by calculating
yhat = y - residuals(mymodel)
as you describe, and then pick out indi
16
To: max.e.br...@gmail.com
Cc: r-h...@stat.math.ethz.ch; yves.croiss...@univ-reunion.fr; Millo Giovanni
Subject: Re: [R] fitted from plm
On Wed, 20 Oct 2010, max.e.br...@gmail.com wrote:
> Hi,
>
> I am estimating a (fixed-effects) model with plm, for which I would like
> to get the fitted value
On Wed, 20 Oct 2010, max.e.br...@gmail.com wrote:
Hi,
I am estimating a (fixed-effects) model with plm, for which I would like
to get the fitted values. If I call fitted() on my estimated model, it
returns NULL.
How do I get the fitted values out of the plm object?
I think there is currently
Hi,
I am estimating a (fixed-effects) model with plm, for which I would like
to get the fitted values. If I call fitted() on my estimated model, it
returns NULL.
How do I get the fitted values out of the plm object?
Thanks.
Max
__
R-help@r-project.or
Dear useRs,
I am working on a series of field experiments (159 in total) carried out in
different years in several locations. The cultivars in each experiment are not
always the same, in fact they change over
time. I would like to get the fitted values and MSE of the individual fits from
the f
glmmPQL is a wrapper for lme, so look at its documentation (and the
especially the Pinheiro-Bates book).
On Fri, 30 Jan 2009, Roberto Patuelli wrote:
Dear All,
I would like to analyse the residuals from a generalized linear mixed model
(GLMM) that I estimated, with random effects, by means o
Dear All,
I would like to analyse the residuals from a generalized linear mixed model
(GLMM) that I estimated, with random effects, by means of the command glmmPQL,
from the MASS package.
It is not very clear to me what the actual residuals to analyse are (Y - Yhat):
I obtain two columns of re
On Sun, 2008-08-31 at 09:49 -0400, Min Chen wrote:
> Dear R-help,
>
> I'm doing conditional logit regression for a discrete choice model.
> I want to know whether there's a way to get the fitted probabilities. In
> Stata, "predict" works for clogit, but it seems that in R "predict" does
>
Dear R-help,
I'm doing conditional logit regression for a discrete choice model.
I want to know whether there's a way to get the fitted probabilities. In
Stata, "predict" works for clogit, but it seems that in R "predict" does
not.
Thank you very much!
Best wishes.
Sin
Hi Yianni,
This just proves that you should be using R as your calculator, and not the
other one!
Regards, Mark.
gatemaze wrote:
>
> Hello,
>
> on a simple linear model the values produced from the fitted(model)
> function
> are difference from manually calculating on calc. Will anyone have
Thank you all for your help. Apologies for not giving an example.
model.matrix was useful as comparing that table with the one from the
spreadsheet showed the "mispell".
On 19/02/2008, Douglas Bates <[EMAIL PROTECTED]> wrote:
>
> On Feb 19, 2008 8:41 AM, <[EMAIL PROTECTED]> wrote
>
> > on a simpl
On Feb 19, 2008 8:41 AM, <[EMAIL PROTECTED]> wrote
> on a simple linear model the values produced from the fitted(model) function
> are difference from manually calculating on calc. Will anyone have a clue...
> or any insights on how fitted function calculates the values? Thank you.
___
stat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
- Original Message -
From: <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Tuesday, February 19, 2008 3:41 PM
Subject: [R] fitted values are different from manually calculating
> Hello,
>
> on a simple linear model
alculated values do not match? Or
have I misunderstood your question?
Regards
JS
---
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of [EMAIL PROTECTED]
Sent: 19 February 2008 14:41
To: [EMAIL PROTECTED]
Subject: [R] fitted values are different from
Hello,
on a simple linear model the values produced from the fitted(model) function
are difference from manually calculating on calc. Will anyone have a clue...
or any insights on how fitted function calculates the values? Thank you.
--
-- Yianni
[[alternative HTML version deleted]]
__
On 9/29/07, Dieter Menne <[EMAIL PROTECTED]> wrote:
> On 9/28/07, Anouk Simard bio.ulaval.ca> wrote:
>
> > > I would like to extract the fitted values from a model using LMER but
> > > only for the fix portion of the model and not for the fix and random
> > > portion (e.g it is the procedure outpm
On 9/28/07, Anouk Simard bio.ulaval.ca> wrote:
> > I would like to extract the fitted values from a model using LMER but
> > only for the fix portion of the model and not for the fix and random
> > portion (e.g it is the procedure outpm or outp in SAS).
..
Quoting Douglas Bates stat.wisc.edu>
>
On 9/28/07, Anouk Simard <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I would like to extract the fitted values from a model using LMER but
> only for the fix portion of the model and not for the fix and random
> portion (e.g it is the procedure outpm or outp in SAS). I am aware of
> the procedure fitted()
Hi,
I would like to extract the fitted values from a model using LMER but
only for the fix portion of the model and not for the fix and random
portion (e.g it is the procedure outpm or outp in SAS). I am aware of
the procedure fitted() but I not sure it give the fitted values both for
the fixe
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