Displaying 20 results from an estimated 600 matches similar to: "HELPPPPPP"
2005 Jun 09
1
May I ask you a question about matrix population models?
Dear R user:
Now I am studying "matrix population models" and Rmetasim package,but I
find it's very difficult to understand this model fully and can't
find a good teacher.My question is that:Now I do some research about one
marine shrimp: Penaeus chinensis, it's life cycle is one year. after it
breed it's offsprings, it will died. This shrimp's life cycle is dicrete
2005 Dec 30
1
How to tell Samba not to use the passwd file
Hello all -
I'm having a bit of a problem that I'm sure is being caused by my missing
some trivial detail. But I haven't been able to find it, and I'm not even
sure how I would construct the search to find relevant info in the
archives.
Here is the setup. I have Samba 3.0.20a running as a PDC against a LDAP
back end. For the most part everything works fine. Users that are
2008 Mar 29
5
[LLVMdev] stack alignment (again)
Hola LLVMers,
I was curious about the state of stack alignment on x86. I noticed
there are a few bugs outstanding on the issue. I recently added some
code which had the effect of throwing an extra function parameter on our
stack at runtime, a 4 byte pointer.
Esp is now not 16-byte aligned, so instructions like unpcklps xmm1,
dword ptr [eps] cause grief. My AllocaInstr instructions are
2008 Jan 01
0
PerformanceAnalytics version 0.9.6 released to CRAN
We are pleased to announce the availability on CRAN of
PerformanceAnalytics version 0.9.6.
This is a feature and bugfix release.
http://cran.r-project.org/src/contrib/Descriptions/PerformanceAnalytics.html
PerformanceAnalytics is a library of econometric functions for
performance and risk analysis. This library aims to aid practitioners
and researchers in utilizing the latest research in
2008 Jan 01
0
PerformanceAnalytics version 0.9.6 released to CRAN
We are pleased to announce the availability on CRAN of
PerformanceAnalytics version 0.9.6.
This is a feature and bugfix release.
http://cran.r-project.org/src/contrib/Descriptions/PerformanceAnalytics.html
PerformanceAnalytics is a library of econometric functions for
performance and risk analysis. This library aims to aid practitioners
and researchers in utilizing the latest research in
2003 Apr 02
2
pacf.mts
I am getting the following:
*** Weave Errors ***
Error in driver$runcode(drobj, chunk, chunkopts) :
Error in eval(expr, envir, enclos) : couldn't find function "pacf.mts"
*** Source Errors ***
Error in eval(expr, envir, enclos) : couldn't find function "pacf.mts"
make[1]: *** [checkVignettes] Error 1
I don't really understand the new namespace mechanism,
2004 Aug 17
1
suggestion for ARMAacf()
hi,
in 1.9.1, the return value from ARMAacf(pacf=TRUE) is not named by lags,
contrary to ?ARMAacf. the simple fix is to move names(Acf) <-
down after if(pacf), with an appropriate starting lag as pacf=TRUE appears
to start at lag 1 (whereas pacf=FALSE starts at lag 0).
for consistency, one could argue to append 1 for lag 0 for pacf=TRUE
(or start pacf=F at lag 1). however, given the
2003 Sep 08
2
pacf lags
pacf in devel seems by default to return a different number of lags
than 1.7.1 for $pacf. I don't see any mention of this in the NEWS file,
or any change in the documentation, so I suspect it is and error,
though it may be an undocumented improvement.
(Newbie question: How is the simplest way to display a function like
pacf.default that is not exported from a namespace?)
Paul
2009 May 20
1
stationarity tests
How can I make sure the residual signal, after subtracting the trend extracted through some technique, is actually trend-free ?
I would greatly appreciate any suggestion about some Stationarity tests.
I'd like to make sure I have got the difference between ACF and PACF right.
In the following I am citing some definitions. I would appreciate your thoughts.
ACF(k) estimates the correlation
2000 Jun 20
1
pacf
Dear list,
according to the documentation of acf{ts}
"the partial correlation coefficient is estimated by fitting
autoregressive models of successively higher orders up to lag.max. "
However, R seems to return the Yule-Walker estimates of the PACF by
default. You can check this using c(1:10) as the series: the YW
estimates are 0.7000000 and -0.1527035 for lags 1 and 2 . If the PACF
2009 Sep 11
2
How to Label Certain Lags for a PACF Graph
When I use the command for PACF, lags 5, 10, 15, and 20 are labeled. I would
like to label lag 1. I would greatly appreciate if someone could tell me how
to do this. Below is the command that I am using:
pacf(data$R1,main="Series R1 Residuals")
[[alternative HTML version deleted]]
2004 Aug 09
1
Easy acf and pacf for irregular time series in R
R:
Is there an easy way to get the acf and pacf for an irregular times
series? That is, the acf and pacf with lag lengths that are in units of
time, not observation number.
Thanks,
Jason Higbee
Research Associate
Federal Reserve Bank of St. Louis
The views expressed in this email are the author's and not necessarily
those of the Federal Reserve Bank of St. Louis or the Federal Reserve
2012 Nov 13
0
GAM model to reduce PACF of a model
I have asked this question on Stackoverflow and was told it does not relate
to the sites' mission as it is statistical question, thus I brought it here.
I am fitting a gam mode in the mgcv package to study associations of
environmental pollutants and mortality. The aim is to choose a model with
lowest mgcv and also to reduce the PACF to less than < |0.1|.
library(gamair)
library(mgcv)
2008 Aug 28
3
Plots spanning columns
Hi! I want to plot three graphs (residuals, ACF and PACF of a
model). Ideally I would use a c(2,2) disposition where the residuals
plot would start at position 1,1 and span to position 1,2. Then I would
plot the ACF in position 2,1 and the PACF in position 2,2. Maybe is
clearer like this:
--------------------------
| |
| residuals |
|
2007 Nov 23
1
Bug in pacf -- Proposed patch (PR#10455)
Dear all,
following the thread
http://tolstoy.newcastle.edu.au/R/e2/devel/07/09/4338.html
regarding the bug in the partial autocorrelation function for
multivariate time series.
I have prepared a web page with patches and relevant information.
http://www2.stat.unibo.it/giannerini/R/pacf.htm
Please do not hesitate to contact me for further clarifications
regards
Simone
--
2006 Apr 27
0
What are the differences between ACF and PACF in time seriesanalysis?
Hello Michael,
see as an online resource:
http://www.statsoft.com/textbook/sttimser.html or get hold on a time
series analysis textbook, like one of the monographies written by
Hamilton; Luetkepohl; Brockwell & Davis; Harvey or Box & Jenkins, to
name but a few.
In a nutshell, PACF 'eliminates' intermediate autocorrelations compared
to ACF, e.g. an AR(1) process will ordinarily
2012 Dec 30
1
acf () and pacf()
I have used acf() and pacf() in R to get the acf and pacf values at
max/lag=20
but the output did not show the values associated with lag numbers. lag
numbers is shown in decimals.
--
Rashid Ameer
View my recent publication at
*
http://www.emeraldinsight.com/fwd.htm?id=aob&ini=aob&doi=10.1108/17538391211282854
*
Details for my works are available directly at
2010 Feb 11
1
ACF and PACF
Hi helpers,
can you help me in plotting acf and pacf functions in R.
I am using the code
acf(variable name)
but it is not working.
Expecting your reply.
Thanks
--
View this message in context: http://n4.nabble.com/ACF-and-PACF-tp1477149p1477149.html
Sent from the R help mailing list archive at Nabble.com.
2010 Jul 22
0
Please advise acf and pacf in order to determine order of Arima
I have data as below.Please let me know how the ACF and Pacf used to
determine the order od arima model.
Is there any rules need to be followed to determine order.Please advise
> turkey.price.ts
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2001 1.58 1.75 1.63 1.45 1.56 2.07 1.81 1.74 1.54 1.45 0.57 1.15
2002 1.50 1.66 1.34 1.67 1.81 1.60 1.70 1.87 1.47 1.59 0.74 0.82
2007 Sep 10
1
partial correlation function for multivariate time series
Dear all,
I found the following behaviour with pacf() in the multivariate case,
set.seed(10)
x <- rnorm(1000,sd=10000)
y <- rnorm(1000,sd=1)
pacf(ts(cbind(x,y)),plot=FALSE,lag.max=10)
Partial autocorrelations of series 'cbind(x, y)', by lag
, , x
x y
0.047 ( 1) 0.000 ( -1)
0.011 ( 2) 0.000 ( -2)
0.005 ( 3) 0.000 ( -3)
0.013 ( 4)