similar to: correlation and causality examples

Dear Mag. Ferri Leberl, I'm using something like: ----------------------- tex.tex --------------------------- \documentclass{article} \usepackage{graphicx} \usepackage{fancyvrb} \newcommand{\Rlogo}{\protect\includegraphics[height=1.8ex,keepaspectratio]{Rlogo.pdf}} \newcommand{\myinput}[1] {\begin{scriptsize} \VerbatimInput[frame=single,label=#1]{#1} \end{scriptsize}} \title{The R logo,

Dear Mag. Ferri Leberl, I'm using something like: ----------------------- tex.tex --------------------------- \documentclass{article} \usepackage{graphicx} \usepackage{fancyvrb} \newcommand{\Rlogo}{\protect\includegraphics[height=1.8ex,keepaspectratio]{Rlogo.pdf}} \newcommand{\myinput}[1] {\begin{scriptsize} \VerbatimInput[frame=single,label=#1]{#1} \end{scriptsize}} \title{The R logo,

Hi useRs.. I cant figure out how to test for causality using causality() in vars package I have two datasets (A, B) and i want to test if A (Granger)cause B. How do I write the script? I dont understand ?causality. How do I get x to "contain" A and B. Further using the command VAR() to specify x, I dont either understand. Kind regards Tobias -- View this message in context:

Dear all, I'm trying to produce two dotcharts side-by-side within a Sweave document. When I'm compiling this example: \documentclass{article} \begin{document} <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) dotchart(1:10) @ <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) hist(1:10) @

Dear R-help, After making a typo (reminiscent of FORTRAN 77, I guess) I found the following: > identical(all.equal(2^(-10:10), 2**(-10:10)), TRUE) [1] TRUE I have tried to find the documentation about the ** operator but I was unsuccesful this way: > sessionInfo() Version 2.3.1 (2006-06-01) powerpc-apple-darwin8.6.0 attached base packages: [1] "methods" "stats"

Dear list, I would like to make a Sweave document that, for a given package, automatically inserts the graphical outputs obtained when runing the example code of high level plot functions. That is, for the "graphics" base package, something like this: http://pbil.univ-lyon1.fr/R/fichestd/tdr79.pdf For this, I need the list of high level plot functions of a given package. I have

Dear Community, For my masters thesis I need to perform a multivariate granger causality test. I have found a code for bivariate testing on this page (http://www.econ.uiuc.edu/~econ472/granger.R.txt), which I think would not be useful for the multivariate case. Does anybody know a code for a multivariate granger causality test. Thank you in advance. Best Regards -- View this message in context:

Dear all, I'm confused by the time serie parameters in data(lh) : sueoka:~ lobry$ R --vanilla --quiet > tsp(lh) [1] 1 48 1 because documentation says: QUOTE A regular time series giving the luteinizing hormone in blood samples at 10 mins intervals from a human female, 48 samples. UNQUOTE So that I would expect the time serie to end at 480 minutes or 8 hours. Shouldn't we have

> Dear useRs, > > by a circular diagram representation I mean what you will get by entering > this at your R promt: > > pie(1:5) > > Nice to have R as a lingua franca :-) > > The folowing quote is from page 360 in this very interesting paper: > > @article{SpenceI2005, > title = {No Humble Pie: The Origins and Usage of a Statistical Chart}, >

Dear Community, this is my first programming in R and I am stuck with a problem. I have the following code which automatically calculates Granger causalities from a variable, say e.g. "bs" as below, to all other variables in the data frame: log.returns<-as.data.frame( lapply(daten, function(x) diff(log(ts(x))))) y1<-log.returns$bs y2<- log.returns[,!(names(log.returns) %in%

Dear Community, I am new to R and have a question concerning the causality () test in the vars package. I need to test whether, say, the variable y Granger causes the variable x, given z as a control variable. I estimated the VAR model as follows: >model<-VAR(cbind(x,y,z),p=2) Then I did the following: >causality(model, cause="y"). I thing this tests the Granger causality of

Hello dudes. I'm developing VAR analysis based on suggestions made by Horváth in its paper Canonical Correlation Analysis and Wiener-Granger Causality Tests. That's the reason I'm looking for if there's any R package to develop Wiener - Granger Causality Test. Thanks a lot for your unvaluable help. Regards from Mexico [[alternative HTML version deleted]]

Dear R Users, Can someone point me to a R package which will help me optimally choose a lag for Granger Causality testing ? Many thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are

Dear list, I'm trying to understand the graphical parameters by a systematic exploration of the par() function (if you are interested by the result it's here http://pbil.univ-lyon1.fr/R/fichestd/tdr75.pdf, the comments are all in french but it's pure R code under Sweave). I have a problem with par(tmag) illustrated by the following code:

Dear R-help, I would like to include the documentation of an R function in an *.rnw document processed by Sweave. Because I'm sharing my *.rnw files with colleagues under Linux and Windows (I'm on Mac OS X), I would like a pure R solution. The naive approach doesn't work, because Sweaving this *.rnw file: -------- tmp.rnw -------- \documentclass{article} \begin{document}

Dear all, the dataset documented under ?crimtab was also used in: @article{TreloarAE1934, title = {The adequacy of "{S}tudent's" criterion of deviations in small sample means}, author = {Treloar, A.E. and Wilder, M.A.}, journal = {The Annals of Mathematical Statistics}, volume = {5}, pages = {324-341}, year = {1934} } The following is

Dear R-devel, googling for the single letter R yields R-home page as the firt hit, which is extremly nice. By clicking on the figure you get the code of the "Winner of the R Homepage graphics competition 2004." By copy/pasting in your R console it doesn't work because it is impossible to install the mva package. This is my point. As documented in ONEWS the reason is simple:

Marc, >I have a large .Rnw file and was in the process of doing some debugging. >I had set some R chunks to 'eval=false' in the process. This resulted in >some R objects not being created that were in turn used in the >subsequent \Sexpr's. I have often the same problem, I'm using a construct like : <<eval=F>>= x <- rnorm(100) @ I have

Dear R-Devel, consider: [rufus:~] lobry% R --vanilla --quiet > sessionInfo() Version 2.3.0 (2006-04-24) powerpc-apple-darwin8.6.0 attached base packages: [1] "methods" "stats" "graphics" "grDevices" "utils" "datasets" [7] "base" > help.search(package = "graphics", keyword = "hplot") >

Dear Rdev, in R 2.9.0 the doc of function stars() does not state that it returns invisibly the location of atomic graphs. This is a valuable information as it may help to set a value for the key.loc parameter of this function. My whish is just that the "value" section in stars.Rd should be documented. Best, Pr. Jean R. Lobry BTW, the URL:,