Achim Zeileis"
> A : sart...@voila.fr
> Copie à : r-help@r-project.org
> Objet : Re: [R] Irregular time series frequencies
>
> On Wed, 30 Oct 2013, sart...@voila.fr wrote:
>
> > Hi everyone,
> >
> > I have a data frame with email addresses in the first
On Wed, 30 Oct 2013, sart...@voila.fr wrote:
Hi everyone,
I have a data frame with email addresses in the first column and in the second column a list of times (of different lengths) at which an email was sent from the
user in the first column.
Here is an example of my data:
Email Email_sen
Hi everyone,
I have a data frame with email addresses in the first column and in the second
column a list of times (of different lengths) at which an email was sent from
the
user in the first column.
Here is an example of my data:
Email Email_sent
j...@doe.com "2013-09-26 15:59:55" "2013-09-2
On Mon, Nov 1, 2010 at 6:59 AM, mysterio66 wrote:
>
> Hi
>
> I have a daily level time series data. What I need to do is a time series
> analysis and forecasting and stuff.
>
> But the thing I am stuck at is - I cant get a decent time series plot of the
> data I have
> http://r.789695.n4.nabble.co
Hi
I have a daily level time series data. What I need to do is a time series
analysis and forecasting and stuff.
But the thing I am stuck at is - I cant get a decent time series plot of the
data I have
http://r.789695.n4.nabble.com/file/n3021952/test.jpg
This is a plot of daily level data f
Hi
I have a daily level time series data. What I need to do is a time series
analysis and forecasting and stuff.
But the thing I am stuck at is - I cant get a decent time series plot of the
data I have
http://r.789695.n4.nabble.com/file/n3021984/test.jpg
This is a plot of daily level data f
Sorry about this, I used your item as prototype to get the email address.
Dave.
> Hi List,
>
> I am some what new to R-world.
>
> I am trying to plot some vector data, each vector has a direction and
> magnitude, the data is taken from an array of points, some of the coverage
> area overlap, some
Hi List,
I am some what new to R-world.
I am trying to plot some vector data, each vector has a direction and
magnitude, the data is taken from an array of points, some of the coverage
area overlap, some do not. Due nature of the grid there are some points
that lack data.
Can any body recommend
Hi,
I am new to R and trying to plot a time series data with irregular interval.
I was wondering how to read a data of the following format and plot it ?
Time 00:00:00 00:05:00 00:10:00 00:15:00
00:20:00 00:30:00 01:00:00
Look at the zoo and quantmod packages.
On Sat, May 10, 2008 at 12:51 AM, falcon <[EMAIL PROTECTED]> wrote:
>
> I am new to R and am trying to solve the following problem:
>
> I have a data file containing tick-by-tick, millisecond level prices for
> some stocks. I have another file or two contain
I am new to R and am trying to solve the following problem:
I have a data file containing tick-by-tick, millisecond level prices for
some stocks. I have another file or two containing orders and trades,
again, with millisecond time-stamps. Both of these files are irregularly
spaced and the time
I noticed a problem with the merging factors so try
using character variables instead:
library(zoo)
Lines <- "Time Data Time1 Data1
1 b1 e
7 g 4i
NA NA 5 k
NA NA NA NA
"
DF <- read.table(textConnection(Lines), header = TRUE, as.i
The following reads in the series as a data frame
and then na.omit's the NA's and converts to zoo.
Optionally we can merge them back together
aligning them on the times.
library(zoo)
Lines <- "Time Data Time1 Data1
1 b1 e
7 g 4i
NA NA 5 k
N
Have you considered using 'corCAR1' with 'lme' in the 'nlme'
package?
Hope this helps.
Spencer Graves
p.s. If you are not familiar with this, I highly recommend Pinheiro,
J.C., and Bates, D.M. (2000) Mixed-Effects Models in S and S-PLUS
(Springer). The "~R\library\nlme\scr
Hello,
I have an irregular time series of the form :
Time Data Time1 Data1
1 b1 e
7 g 4i
NA NA 5 k
NA NA NA NA ...
(the columns have varying length of NAs after a certain point)
Converting this to regular time se
Try this. After defining our data, tt and x, we create a zoo series
z by aggregating over days taking the last point corresponding to
each day. Then we convert that to ts (which fills in the missing days)
and create a zoo series with no data and those times merging it
with the original zoo serie
Howdy!
I am attempting to convert a date frame with irregular dates into a
regular time series, aggregated by date. i have tried using both the
'its' and 'zoo' packages.
I have something like
times<-c("2003-03-05", "2003-03-05", "2003-05-05" ,"2003-04-07" ,"2003-03-05")
aarf<-data.frame(times)
a
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