Hello,
I'm an absolute beginner with R. I'm hoping to do some time-series analysis
on my data. The data looks like
#time value
18 153
20 426
70 7
83 130
84 7
and so on where time could be in seconds or hours or days (not all at the
same time). How could I import such a file to R and do some
You really don't want to use ts() -- if you want to use the tools in
fArma use a timeSeries (provided by the package of the same name)
Michael
On Wed, Apr 25, 2012 at 9:54 AM, Barun Saha barun.sah...@gmail.com wrote:
Hello,
I'm an absolute beginner with R. I'm hoping to do some time-series
www.rmetrics.org/ebooks
There's a free book on time series classes in R here: I haven't used it myself,
but it is by the fArma (RMetrics) folks so I presume it covers their own time
series class.
Michael
On Apr 25, 2012, at 11:11 AM, Barun Saha barun.sah...@gmail.com wrote:
Thanks,
Thanks, Michael! Could you plz point to some easy tutorials regarding this?
On Wed, Apr 25, 2012 at 8:14 PM, R. Michael Weylandt
michael.weyla...@gmail.com wrote:
You really don't want to use ts() -- if you want to use the tools in
fArma use a timeSeries (provided by the package of the same
Dear List,
This is an embarrassing question, but I can seem to make this work
How do I
change the font size on the xlab and on the numbers shown in the x-axis on
the time series plot below. The arguments cex.lab and cex.axis do not seem
to be 'passing' to the plot function.
plot(ts(rnorm(100),
Hi:
Try this:
plot(ts(rnorm(100), start = 2004, freq = 12), xaxt = 'n', yaxt = 'n',
xlab = '', ylab = '')
axis(1, at = c(2004:2012), cex.axis = 0.7)
axis(2, cex.axis = 0.7)
title(xlab = 'My X lab', ylab = 'RQI', cex.lab = 0.1)
The illegible dots in the region where the axis labels would
On 2011-03-17 16:37, Axel Urbiz wrote:
Dear List,
This is an embarrassing question, but I can seem to make this work…How do I
change the font size on the xlab and on the numbers shown in the x-axis on
the time series plot below. The arguments cex.lab and cex.axis do not seem
to be 'passing'
Looking at 2 sets of time series data. Code below:
houst = read.table(C:/Documents/HOUST.txt,header=F)
houst = ts(houst, start = 1976,frequency = 12)
mortg = read.table(C:/Documents/mortg.txt,header=F)
mortg = ts(mortg, start = 1976,frequency = 12)
The data for houst looks like:
1367
1538
On Oct 12, 2010, at 9:38 PM, Addi Wei wrote:
Looking at 2 sets of time series data. Code below:
houst = read.table(C:/Documents/HOUST.txt,header=F)
houst = ts(houst, start = 1976,frequency = 12)
mortg = read.table(C:/Documents/mortg.txt,header=F)
mortg = ts(mortg, start = 1976,frequency =
I think I figured it out...The 2 data sets must have same number of data.
--
View this message in context:
http://r.789695.n4.nabble.com/Help-regarding-Time-Series-CCF-Function-tp2992988p2993061.html
Sent from the R help mailing list archive at Nabble.com.
Dear all,
I am having difficulty to built a model of quarter sales of spirits data, and
deciding which is the best model. The yfit2, yfit3, and yfit4 lines was not
appeared right at the end. The data and script is enclosed with this email.
I am using the harmonic regression model to
Hi there,
I am having trouble getting the plotting of multiple time series to work.
I have used RBloomberg to download data, which I then convert to a data
frame. After I have calculated my new index values, I would like to plot the
new index.
My problem is that I can't get the plot feature to
Hello
I'm working with a bunch of time series data. The data are downloaded from
a server and stored as ascii files prior to reading them into R.
After reading the data sets read into R with no problem and I can us the ts
function to coerce them to time series, sometimes this works and
On Sep 28, 2009, at 4:07 PM, steve_fried...@nps.gov wrote:
Hello
I'm working with a bunch of time series data. The data are
downloaded from
a server and stored as ascii files prior to reading them into R.
After reading the data sets read into R with no problem and I can us
the ts
Hello everyone
I'm working with R 2.8.1 on a windows machine
I have a question regarding time series analysis
The first question is how does R expect the input file to be structured?
I'm working with a *.txt file similar to the abbreviated one here:
Date,stage
4/2/1953,7.56
4/3/1953,7.56
To seperate the columns, use the sep argument in read.table()
mystage - read.table(C:\\Documents and
Settings\\skfriedman\\Desktop\\R-scripts\\stage.txt, header =
TRUE,sep=',')
On Fri, Jan 30, 2009 at 4:17 PM, steve_fried...@nps.gov wrote:
Hello everyone
I'm working with R 2.8.1 on a
Copy and paste this into an R session:
Lines - Date,stage
4/2/1953,7.56
4/3/1953,7.56
4/4/1953,7.54
4/5/1953,7.53
4/6/1953,7.5
4/7/1953,7.47
4/8/1953,7.44
4/9/1953,7.41
4/10/1953,7.37
4/11/1953,7.33
4/12/1953,7.3
4/13/1953,7.26
4/14/1953,7.28
4/15/1953,7.28
4/16/1953,7.23
4/17/1953,7.47
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