R : Copyright 2005, The R Foundation for Statistical Computing
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("NORMT3-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('NORMT3')
NORMT3 loaded
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "dnormt3"
> 
> ### * dnormt3
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: dnormt3
> ### Title: Density function of sum of Gaussian and Student's t on 3 df
> ### Aliases: dnormt3
> ### Keywords: distribution
> 
> ### ** Examples
> 
> dnormt3(0)
[1] 0.4501582
> #
> # Should be 0.4501582 = sqrt(2)/pi
> #
> x <- seq(from=-5, to=5, length=100)
> plot(x, dnormt3(x), type="l")   # Density plot
> 
> 
> 
> cleanEx(); ..nameEx <- "dst"
> 
> ### * dst
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: dst
> ### Title: Density function of sphered Student's t distribution
> ### Aliases: dst
> ### Keywords: distribution
> 
> ### ** Examples
> 
> dst(0)
[1] 0.6366198
> #
> # Should be  2/pi = 0.6366198
> #
> x <- seq(from=-5, to=5, length=100)
> plot(x, dst(x), type="l")       # Produces a density plot
> 
> 
> 
> cleanEx(); ..nameEx <- "erf"
> 
> ### * erf
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: erf
> ### Title: Error function
> ### Aliases: erf
> ### Keywords: math
> 
> ### ** Examples
> 
> erf(0)
[1] 0+0i
> #
> # Should give 0
> #
> erf(1)
[1] 0.8427008+0i
> #
> # Should give 0.8427008+0i
> #
> erf(complex(re=1, im=1))
[1] 1.316151+0.1904534i
> #
> # Should give 1.316151+0.1904535i
> #
> 
> 
> 
> cleanEx(); ..nameEx <- "erfc"
> 
> ### * erfc
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: erfc
> ### Title: Complementary error function
> ### Aliases: erfc
> ### Keywords: math
> 
> ### ** Examples
> 
> erfc(0)
[1] 1+0i
> #
> # Should give 1
> #
> erfc(1)
[1] 0.1572992+0i
> #
> # Should give 0.1572992+0i
> #
> erfc(complex(re=1, im=1))
[1] -0.3161513-0.1904534i
> #
> # Should give -0.3161513-0.1904535i
> #
> 
> 
> 
> cleanEx(); ..nameEx <- "ic1"
> 
> ### * ic1
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: ic1
> ### Title: Compute IC1 formula from Nason (2005)
> ### Aliases: ic1
> ### Keywords: math
> 
> ### ** Examples
> 
> ic1(1,1)
[1] 0.03401986
> #
> # Should give 0.03401986.
> #
> 
> 
> 
> cleanEx(); ..nameEx <- "is1"
> 
> ### * is1
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: is1
> ### Title: Compute IS1 formula from Nason (2005)
> ### Aliases: is1
> ### Keywords: math
> 
> ### ** Examples
> 
> is1(1,1)
[1] 0.1297382
> #
> # Should give 0.1297382.
> #
> 
> 
> 
> cleanEx(); ..nameEx <- "normt3ip"
> 
> ### * normt3ip
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: normt3ip
> ### Title: Compute inner product function of Gaussian and t3 distribution
> ### Aliases: normt3ip
> ### Keywords: math
> 
> ### ** Examples
> 
> #normt3ip(0,1)
> #
> # Answer should be 0.3183099 which is 1/pi
> #
> x <- 3
> 
> 
> 
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", env = .CheckExEnv),"\n")
Time elapsed:  0.09 0.01 0.1 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')