Hello,
I am looking for an R package that uses nonlinear least squares to fit
ARIMA models. Initially I was using tseries but according to the
documentation for the Arima function in tseries:
*The exact likelihood is computed via a state-space representation of the
ARIMA process, and the innovatio
Hello,
Thanks for the reproducible example.
All you have to do is to use the aesthetic group = year in either
ggplot() or geom_line().
This works:
library(ggplot2)
daT$date <- as.Date(daT$date)
daT$DATE <- format(daT$date, format="%m/%d")
Ab <- ggplot(daT, aes(x = as.factor(DATE),
Dear Rolf,
Thanks for trying to help. The bug wasn't in AnalyzeModel().
There was a bug in Effect.lm(), Effect.multinom(), and Effect.polr() in how
xlevels=n (e.g., xlevels=4) was handled, now fixed in the development version
of the effects package on R-Forge, from which it can be installed via
I'm obviously not understanding something here, but it seems to me that
the conjecture
It appears to me that the cause is buried in effects:::Analyze.model
in or close to the the lines
if (is.numeric(xlevels) & length(xlevels) == 1L) {
levs <- xlevels
for (name in focal.predictors)
On 9/4/19 7:35 AM, Medic wrote:
The Y scale is divided (by default) as:
0.0 ... 0.2 ... 0.4 ... 0.6 ... 0.8 ...1.0
But I would like so:
0 ... 20 ... 40 ... 60 ... 80... 100
(with rotating axis labels)
When I use par function (marked as comment here) it turns out
correctly for ONLY ONE picture?!
Hi R Users,
I have been getting a trouble to create a time series plot (line) as I was
trying to create a line graph for each year using month and date (in x
axis). I would like to put only one x axis (month and date) for three years
using the facet_grid, but it has not been creating a lineplot for
The Y scale is divided (by default) as:
0.0 ... 0.2 ... 0.4 ... 0.6 ... 0.8 ...1.0
But I would like so:
0 ... 20 ... 40 ... 60 ... 80... 100
(with rotating axis labels)
When I use par function (marked as comment here) it turns out
correctly for ONLY ONE picture?! Help me, please. (This is the code
Dear Gerrit,
Yes, that appears to be a bug in Effect() -- too bad that it wasn't discovered
earlier because a new version of the package was submitted yesterday, but thank
you for the bug report.
We'll fix the bug, but until then a work-around is to specify the number of
levels for each numeri
Dear list,
citing from allEffects' help page (of package effects 4.1-2):
"If xlevels=n is an integer, then each numeric predictor is
represented by n equally spaced values rounded to 'nice' numbers."
However, adapting the first example from allEffects' help
page throws an an error:
mod
Google "levionson-Durbin in R
The first reference is the levinson function in the signal package.
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Faheem
> Jan via R-help
> Sent: 04 September 2019 11:29
> To: R-help Mailing List
> Subject: [R] Durbin-
hi, i have a problem that how i could use Durbin- levinson algorithm for
prediction in case of multiple time series? how i could do this in R...
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and mor
Hi, my question is related functional data analysis, what is functional final
prediction error how we can use to transform vector autoregressive model to its
functional form...need help in this regard i will be thanks ful..
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Chris, thank you so much for your answer!!
Best,
Frank S.
De: Andrews, Chris
Enviado: martes, 3 de septiembre de 2019 14:14
Para: Frank S.
Cc: r-help@r-project.org
Asunto: Re: [R] Efficient way to update a survival model
library("survival")
set.seed(1)
v <- ru
Charles, thank you for your suggestion!
Frank S.
De: Berry, Charles
Enviado: s�bado, 31 de agosto de 2019 19:21
Para: Frank S.
Cc: Andrews, Chris ; r-help@r-project.org
Asunto: Re: Efficient way to update a survival model
The i^th model is included in the Cox[
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