Dear All,
I'm trying to use dynlm to fit a time series.
I have 3 seasonal terms. Here is an example of the problem.
This is my time variable, hourly data:
timeSeries <- seq(as.POSIXct("2011-01-01 00:00:00"), as.POSIXct("2011-12-31
23:00:00"), by="hour")
My response
is:
y <- rnorm(length(
Dear All,
I'm trying to use dynlm to fit a time series.
I have 3 seasonal terms. Here is an example of the problem.
This is my time variable, hourly data:
timeSeries <- seq(as.POSIXct("2011-01-01 00:00:00"), as.POSIXct("2011-12-31
23:00:00"), by="hour")
My response
is:
y <- rnorm(length(
etter tools.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Dave Evens
> Sent: Thursday, June 16
Dear all,
I would like to fit an ARMA model, but I'm not sure exactly how to fit it.
Here's an example of the problem.
This is my time variable, hourly data
t <- seq(as.POSIXct("2011-01-01 00:00:00"), as.POSIXct("2011-12-31 23:00:00"),
by="hour")
my response
y <- rnorm(length(t), 1000, 50
Thank you for your post Greg.
Do you have any useful references regarding this variability (papers etc)?
Many thanks.
Dave
From: Greg Snow
To: Dave Evens ; "r-help@r-project.org"
Sent: Thursday, 16 June 2011, 21:32
Subject: RE: [R] prediction intervals
I don't think that t
Dear members,
I'm fitting linear model using "lm" which has numerous auto-regressive terms as
well as other explanatory variables. In order to calculate prediction
intervals, i've used a for-loop as the auto-regressive parameters need to be
updated each time so that a new forecast and corresp
Dear members,
I'm fitting linear model using "lm" which has numerous auto-regressive terms as
well as other explanatory variables. In order to calculate prediction
intervals, i've used a for-loop as the auto-regressive parameters need to be
updated each time so that a new forecast and corresp
Dear all,
I'm fitting a linear model with numerous lag terms of the response variable
[i.e. y(t-1), y(t-2),y(t-3)...,] and other explanatory variables [x(1), x(2),
x(3),]- which go into my design matrix X.
I'm fitting the linear model: lm(Y ~ X, ...).
I would like to use the predict.lm f
Dear all,
I'm fitting a linear model with numerous lag terms of the response variable
[i.e. y(t-1), y(t-2),y(t-3)...,] and other explanatory variables [x(1), x(2),
x(3),]- which go into my design matrix X.
I'm fitting the linear model: lm(Y ~ X, ...).
I would like to use the predict.lm f
hole object is updated.
Cheers
Adrian
Am 14.05.2011 20:44, schrieb Dave Evens:
> Dear all,
>
> I have a question related to the POSIXlt function in R.
>
> I have a set of dates and times, for exmaple:
>
> startx<- as.POSIXct("2011-01-01 00:00:00")
> finx<- as.PO
Dear all,
I have a question related to the POSIXlt function in R.
I have a set of dates and times, for exmaple:
startx <- as.POSIXct("2011-01-01 00:00:00")
finx <- as.POSIXct("2011-12-31 00:00:00")
daysx<- seq(startx, finx, by="24 hours")
I
want to change the dates of all the days falling on
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