similar to: running "acf"

Hi, I don't quite understant how can I access to the acf values from the list produced by the acf function Example: library(ts) t <- acf(ts.union(ts(1:10), ts(11:20))) t$acf > tmp$acf , , 1 [,1] [,2] [1,] 1.00000000 1.00000000 [2,] 0.70000000 0.70000000 [3,] 0.41212121 0.41212121 [4,] 0.14848485 0.14848485 [5,] -0.07878788 -0.07878788 [6,] -0.25757576

Time Series functions in R ========================== I think a good basic S-like functionality for library(ts) in base R would include ts class, tsp, is.ts, as.ts plot methods start end window frequency cycle deltat lag diff aggregate filter spectrum, spec.pgram, spec.taper, cumulative periodogram, spec.ar? ar -- at least univariate by Yule-Walker arima -- sim, filter, mle, diag, forecast

Full_Name: Hiroyuki Kawakatsu Version: 1.3.1 OS: win2k Submission from: (NULL) (130.158.140.105) the lag labels in the acf plot is screwed when the ts frequency>1. try, for example, #acf mis-feature x <- ts(rnorm(200), frequency=4); acf(x,lag.max=24); h. > version _ platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32

I am guessing this is a very simple question, but this is only my second day with R so it is all still a bit imposing. I am trying to run an autocorrelation. I imported a CSV file, which has one column labeled "logistic". I ran the command: ACF(data$logistic,maxLag=10) However, I received the error: Error in UseMethod("ACF") : no applicable method for 'ACF'

Hello! I have two questions. First of all, I have a problem dealing with acf (Autocovariance function) and need help. First I defined a time series, x, which is a vector created by x <- ts(rnorm(200)). So I plugged the series directly into the acf function, acf(x) and an error message popped up as: Error in .C("acf", as.double(x), as.integer(sampleT), as.integer(nser), :

Hi everyone, I'm trying to use the acf() function to calculate the autocorrelation of each column in a matrix. The trouble is that I can only seem to get the function to work if I extract the data in the column into a separate matrix and then apply the acf() function to this column. I have something like this: acf(mat,lag.max=10,na.action=na.pass) ...but I would really like to apply the

Dear all, given two numeric vectors x and y, the ACF(x) at lag k is cor(x(t),x(t+k)) while the CCF(x,y) at lag k is cor(x(t),y(t-k)). See below for a simple example. > set.seed(1) > x <- rnorm(10) > y <- rnorm(10) > x [1] -0.6264538 0.1836433 -0.8356286 1.5952808 0.3295078 -0.8204684 0.4874291 0.7383247 0.5757814 -0.3053884 > y [1] 1.51178117 0.38984324

help . I have a file which contains a table that has 2 columns of which the first one is a time sereis. I need to extract the first column alone and do an acf plot on it. I dont know how to extract the first column and pass it to the acf function in the ts package. Can anybody pls help me. end -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list

Test case: z <- ts(matrix(rnorm(200),10,20), start=c(1961,1)) acf(z,lag.max=1) This segfaults for me. Maybe it shouldn't? cheers dave --please do not edit the information below-- Version: platform = i386-pc-linux-gnu arch = i386 os = linux-gnu system = i386, linux-gnu status = major = 2 minor = 0.1 year = 2004 month = 11 day = 15 language = R Search Path: .GlobalEnv,

I think this is a bug, but perhap someone could confirm that it is not just me doing something stupid. (I vaguely recall something like this previously getting fixed in 1.7.0.) R : Copyright 2003, The R Development Core Team Version 1.7.1 (2003-06-16) > z <-matrix(rnorm(100), 100,1) > acf(as.ts(z), type="partial") Error in inherits(x, "ts") : evaluation is nested

Hola, Estoy visualizando una serie temporal para determinar sus órdenes ARIMA y no consigo lo siguiente: ¿Cómo puedo sacar la ACF de los retardos múltiplos del periodo? Es decir, sólo ver en el gráfico ACF los retardos 12, 24, 36... Gracias!! David [[alternative HTML version deleted]]

Hi R lovers! I'd like to know if the 2 blue lines in the graph produced by the function acf in the package ts represents the level for the test of significance of the autocorrelation thanks for help vincent ****************************************************************** The sender's email address has changed to firstname.lastname@ sgcib.com. You may want to update your

Hello r-help, I have a couple of time-series of different length and I would like to produce a simple overview plot showing the autocorrelation functions of the series. The time-series are stored in a dataframe like this: > test.data item year value 1 xxx 1961 -1.09 2 xxx 1962 0.21 3 xxx 1963 -0.81 [trimmed] 8

Hello, what is the meaning of the plots of an acf()-plot, when using a data frame as argument? The result is NOT obvious for me. There are combinations of the columns of a dataframe in the reulting plot. But an acf() is just defined for onyl one time-sreies. So what do the plots mean? I did not found a description in the help-page. Ciao, Oliver

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

Hi, I'm trying to obtain confidence intervals for auto and cross correlation estimates. I've adapted code made available by Stock and Watson that uses the Bartlett Kernel and the delta method. In R it runs really, really slow because of the loops it uses and I have 9 series that I'd like to examine (81 total combinations). It was easy enough to replace one of the while loops with a

Hi R-sters, Just wondering what I might be doing wrong. I'm trying to fit a multiple linear regression model, and being ever mindful about the possibilities of autocorrelation in the errors (it's a time series), the errors appear to follow an AR1 process (ar(ts(glsfit$residuals)) selected order 1). So, when I go back and try to do the simultaneous regression and error fit with gls,

this one is not a false alarm like my previous message. i have cut and paste the code below so if anyone could run it would be appreciated. basically, my question is why the horizontal axis of the acf plot is labelled with such huge numbers when the labels should be 1 through 10 since may lag.max = 10 ? i looked at the cdoe of acf but it was pretty much beyond me. i think it has something to

When I run the "acf()" function using the "acf(ts.union(mdeaths, fdeaths))" example, the "acf()" function calls the "acf.plot()" function to generate this plot... http://members.cox.net/ddebarr/images/acf_example.png The plot in the lower right-hand corner is labeled "fdeaths & mdeaths", but the negative lags appear to belong to "mdeaths

As far as I can see, R does not appear to have an acf() function akin to Splus. Does anyone have code for this? regards, KSG ------------------------------------------------------------ Kristian Skrede Gleditsch, Ph.D. Assistant Professor Department of Political Science University of California, San Diego La Jolla, CA 92093-0521, USA Tel: (858) 822 0535, Fax: (858) 534 7130 Email: kgleditsch at