similar to: acf() function

Dear all, I have encountered a strange problem with read.table(). When I try to read a tab delimited file I get an error message for line 260 not being equal to 14 (see below). Using count.fields() suggests that a number of lines have length not equal to 14, but not 260. Looking at the actual file, however, I cannot see anything wrong with any lines. They all seem to have length 14, there

Hi everyone. There's been several threads on baseline hazard in Cox model but I think they were all on cumulative baseline hazard, for instance http://tolstoy.newcastle.edu.au/R/help/01a/0464.html http://tolstoy.newcastle.edu.au/R/help/01a/0436.html "basehaz" in package survival seems to do a cumulative hazard. extract from the basehaz function: sfit <- survfit(fit) H

Hi, The following patch is against 3.36. It lets the width-modifier to the %s conversion specifier restrict the length of the formatted string as well as expand it. In addition, it adds the strnlen function, which only exists as a prototype today. -- Arne. --- syslinux-3.36/com32/lib/Makefile.orig 2007-02-10 21:47:07.000000000 +0100 +++ syslinux-3.36/com32/lib/Makefile 2007-04-12

Hi, I have a really dumb qustion, but I can''t find an answer in "Agile Rails" or any other hand holder. And, it is a difficult topic to search for in google. What controller/view is used for the home page of a site? I get how to create new controllers, but I don''t get at all how to change content on the home page. thanks, matt On 12/14/05, Austin Ziegler

CentOS Errata and Bugfix Advisory 2014:0535 Upstream details at : https://rhn.redhat.com/errata/RHBA-2014-0535.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 1f4fb6892be41627d0bf50425bcb0548190d4ea061d90be96f760b2d8b98c350 netlabel_tools-0.19-11.el6.i686.rpm x86_64:

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For doumentation purposes I run a batch R program that does reshaping etc. of data and finally prints things. When I paste the code into an R-window everything runs in a few seconds, but in Batch mode i get in the output file the result below. Any clues why R uses 4 min to print a 1129\times 6 dataframe in batch mode? The scrit I use to run R is: c:\stat\r\%R_VERS%\bin\Rterm --no-restore

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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'

CentOS Errata and Bugfix Advisory 2014:0521 Upstream details at : https://rhn.redhat.com/errata/RHBA-2014-0521.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: 9153d50fe08fcf14801738909b59803dc98b527098f74d6fe9efe76d1f761913 ksh-20120801-10.el6_5.5.i686.rpm x86_64:

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OK. Different mailing lists are set up differently. This list is unusual because your answers only go to the person who replied to you. So if you want the other people on the listserv to see your answer, you should make sure that Speex-dev at xiph.org<mailto:Speex-dev at xiph.org> is added to the TO: field of your outgoing message. Hopefully someone else will also attempt to answer your

Hello all, I have a large parameter problem with the following very simple likelihood function: fn<-function(param) { x1<-param[1:n] g1<-param[(n+1):(2*n)] beta<-param[(2*n+1):(2*n+k)] sigma2<-param[2*n+k+1]^2 meang1sp<-mean(g1[sp]) mu<-beta%*%matrix(x1,1,n)-(g1[sp]-meang1sp)%*%matrix(g1,1,n) return(sum((ydc-mu)^2)/(2*sigma2) + n*k*log(sqrt(sigma2)) +

I would like to get the result of acf min of lag 2 and max of lag 50. When I use time series ( acf, lag.max = 50, type="covariance"), I got lag 0 to lag 50. How do I get lag 2 to lag 50? Sincerely, Stephen

Hi all, I am modelling a time series with missing data. *Q1)* However, I am not sure if I should use the next *graphics* to understand my data: *a)* ACF & PACF (original series) *b)* ACF & PACF (residuals) * * *Q2)* I am using *tsdiag*, so I obtain a graphic with 3 plots: stand. residuals vs time; acf for residuals; Ljung-Box for residuals (it is wrong for residuals). I know that using

I started to check what I thought I knew with autocovariance and it doesn’t jive with the the calculations given by ‘R’. I was wondering if there is some scaling or something that I am not aware of. Take the example Ø d <- 1:10 Ø (a <- acf(d, type="covariance", demean=FALSE, plot=FALSE)) Autocovariances of series ‘d’, by lag 0 1 2 3 4 5 6

Hi, When I plot the auto co-relation function (acf), 2 blue lines appear near the base. Can anyone tell me what they mean? Also can anyone tell me how to print the graphs that are generated. There is a print option but when I click on it, it doesn''t seem to do anything. Is copying the graph as a bitmap file in paint the only way out? Thanks for any help. Regards, Shalini Catch