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Version 2.1.1  (2005-06-20), ISBN 3-900051-07-0

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> ### * <HEADER>
> ###
> attach(NULL, name = "CheckExEnv")
> assign(".CheckExEnv", as.environment(2), pos = length(search())) # base
> ## add some hooks to label plot pages for base and grid graphics
> setHook("plot.new", ".newplot.hook")
> setHook("persp", ".newplot.hook")
> setHook("grid.newpage", ".gridplot.hook")
> 
> assign("cleanEx",
+        function(env = .GlobalEnv) {
+ 	   rm(list = ls(envir = env, all.names = TRUE), envir = env)
+            RNGkind("default", "default")
+ 	   set.seed(1)
+    	   options(warn = 1)
+ 	   delayedAssign("T", stop("T used instead of TRUE"),
+ 		  assign.env = .CheckExEnv)
+ 	   delayedAssign("F", stop("F used instead of FALSE"),
+ 		  assign.env = .CheckExEnv)
+ 	   sch <- search()
+ 	   newitems <- sch[! sch %in% .oldSearch]
+ 	   for(item in rev(newitems))
+                eval(substitute(detach(item), list(item=item)))
+ 	   missitems <- .oldSearch[! .oldSearch %in% sch]
+ 	   if(length(missitems))
+ 	       warning("items ", paste(missitems, collapse=", "),
+ 		       " have been removed from the search path")
+        },
+        env = .CheckExEnv)
> assign("..nameEx", "__{must remake R-ex/*.R}__", env = .CheckExEnv) # for now
> assign("ptime", proc.time(), env = .CheckExEnv)
> grDevices::postscript("mAr-Examples.ps")
> assign("par.postscript", graphics::par(no.readonly = TRUE), env = .CheckExEnv)
> options(contrasts = c(unordered = "contr.treatment", ordered = "contr.poly"))
> options(warn = 1)    
> library('mAr')
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "mAr.eig"
> 
> ### * mAr.eig
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mAr.eig
> ### Title: Eigendecomposition of m-variate AR(p) model
> ### Aliases: mAr.eig
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> data(pinkham)
> y=mAr.est(pinkham,2,5)
> mAr.eig(y$AHat,y$CHat)
$modes
      periods  dampTime
[1,] 25.84734 4.2848063
[2,] 25.84734 4.2848063
[3,] 15.98256 0.5620364
[4,] 15.98256 0.5620364

$eigv
                       [,1]                   [,2]                   [,3]
[1,] -0.3950117+0.11940948i -0.3950117-0.11940948i -0.2566485+0.23908075i
[2,] -0.6664679+0.01206423i -0.6664679-0.01206423i  0.9197634+0.05756759i
                       [,4]
[1,] -0.2566485-0.23908075i
[2,]  0.9197634-0.05756759i

> 
> 
> 
> 
> cleanEx(); ..nameEx <- "mAr.est"
> 
> ### * mAr.est
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mAr.est
> ### Title: Estimation of multivariate AR(p) model
> ### Aliases: mAr.est
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> data(pinkham)
> y=mAr.est(pinkham,2,5)
> 
> 
> 
> cleanEx(); ..nameEx <- "mAr.pca"
> 
> ### * mAr.pca
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mAr.pca
> ### Title: Multivariate autoregressive analysis in PCA space
> ### Aliases: mAr.pca
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> 
> data(sparrows)
> A=mAr.est(sparrows,1)$AHat
> mAr.eig(A)$modes
      periods  dampTime
[1,] 9.910152 1.0302191
[2,] 9.910152 1.0302191
[3,] 2.268032 0.8545396
[4,] 2.268032 0.8545396
[5,]      Inf 0.5553247
> mAr.pca(sparrows,1,k=4)$modes
      periods  dampTime
[1,] 8.901284 0.7418931
[2,] 8.901284 0.7418931
[3,] 2.050779 0.6368430
[4,] 2.050779 0.6368430
> 
> 
> 
> 
> cleanEx(); ..nameEx <- "mAr.sim"
> 
> ### * mAr.sim
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mAr.sim
> ### Title: Simulation from a multivariate AR(p) model
> ### Aliases: mAr.sim
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> w=c(0.25,0.1)
> C=rbind(c(1,0.5),c(0.5,1.5))
> A=rbind(c(0.4,1.2,0.35,-0.3),c(0.3,0.7,-0.4,-0.5))
> x=mAr.sim(w,A,C,N=300)
Loading required package: MASS
> 
> 
> 
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", env = .CheckExEnv),"\n")
Time elapsed:  1.02 0.03 1.05 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')