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("mlbench-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('mlbench')
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "as.data.frame.mlbench"
> 
> ### * as.data.frame.mlbench
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: as.data.frame.mlbench
> ### Title: Convert an mlbench object to a dataframe
> ### Aliases: as.data.frame.mlbench
> ### Keywords: manip
> 
> ### ** Examples
> 
> p <- mlbench.xor(5)
> p
$x
           [,1]       [,2]
[1,] -0.4689827  0.7967794
[2,] -0.2557522  0.8893505
[3,]  0.1457067  0.3215956
[4,]  0.8164156  0.2582281
[5,] -0.5966361 -0.8764275

$classes
[1] 1 1 2 2 2
Levels: 1 2

attr(,"class")
[1] "mlbench.xor" "mlbench"    
> as.data.frame(p) 
         x.1        x.2 classes
1 -0.4689827  0.7967794       1
2 -0.2557522  0.8893505       1
3  0.1457067  0.3215956       2
4  0.8164156  0.2582281       2
5 -0.5966361 -0.8764275       2
> 
> 
> cleanEx(); ..nameEx <- "bayesclass"
> 
> ### * bayesclass
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: bayesclass
> ### Title: Bayes classifier
> ### Aliases: bayesclass bayesclass.noerr bayesclass.mlbench.2dnormals
> ###   bayesclass.mlbench.circle bayesclass.mlbench.xor
> ###   bayesclass.mlbench.cassini bayesclass.mlbench.cuboids
> ###   bayesclass.mlbench.twonorm bayesclass.mlbench.threenorm
> ###   bayesclass.mlbench.ringnorm
> ### Keywords: classif
> 
> ### ** Examples
> 
> # 6 overlapping classes
> p <- mlbench.2dnormals(500,6)
> plot(p)
> 
> plot(p$x, col=as.numeric(bayesclass(p)))
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.2dnormals"
> 
> ### * mlbench.2dnormals
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.2dnormals
> ### Title: 2-dimensional Gaussian Problem
> ### Aliases: mlbench.2dnormals
> ### Keywords: datagen
> 
> ### ** Examples
> 
> # 2 classes
> p <- mlbench.2dnormals(500,2)
> plot(p)
> # 6 classes
> p <- mlbench.2dnormals(500,6)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.cassini"
> 
> ### * mlbench.cassini
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.cassini
> ### Title: Cassini: A 2 Dimensional Problem
> ### Aliases: mlbench.cassini
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p <- mlbench.cassini(5000)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.circle"
> 
> ### * mlbench.circle
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.circle
> ### Title: Circle in a Square Problem
> ### Aliases: mlbench.circle
> ### Keywords: datagen
> 
> ### ** Examples
> 
> # 2d example
> p<-mlbench.circle(300,2)
> plot(p)
> #
> # 3d example
> p<-mlbench.circle(300,3)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.cuboids"
> 
> ### * mlbench.cuboids
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.cuboids
> ### Title: Cuboids: A 3 Dimensional Problem
> ### Aliases: mlbench.cuboids
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p <- mlbench.cuboids(7000)
> plot(p)
> ## Not run: 
> ##D library(Rggobi)
> ##D g <- ggobi(p$x)
> ##D g$setColors(p$class)
> ##D g$setMode("2D Tour")
> ## End(Not run)
> 
> 
> cleanEx(); ..nameEx <- "mlbench.ringnorm"
> 
> ### * mlbench.ringnorm
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.ringnorm
> ### Title: Ringnorm Benchmark Problem
> ### Aliases: mlbench.ringnorm
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p<-mlbench.ringnorm(1000, d=2)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.smiley"
> 
> ### * mlbench.smiley
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.smiley
> ### Title: The Smiley
> ### Aliases: mlbench.smiley
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p<-mlbench.smiley()
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.spirals"
> 
> ### * mlbench.spirals
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.spirals
> ### Title: Two Spirals Benchmark Problem
> ### Aliases: mlbench.spirals mlbench.1spiral
> ### Keywords: datagen
> 
> ### ** Examples
> 
> # 1 cycle each, no noise
> p<-mlbench.spirals(300)
> plot(p)
> #
> # 1.5 cycles each, with noise
> p<-mlbench.spirals(300,1.5,0.05)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.threenorm"
> 
> ### * mlbench.threenorm
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.threenorm
> ### Title: Threenorm Benchmark Problem
> ### Aliases: mlbench.threenorm
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p<-mlbench.threenorm(1000, d=2)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.twonorm"
> 
> ### * mlbench.twonorm
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.twonorm
> ### Title: Twonorm Benchmark Problem
> ### Aliases: mlbench.twonorm
> ### Keywords: datagen
> 
> ### ** Examples
> 
> p<-mlbench.twonorm(1000, d=2)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.waveform"
> 
> ### * mlbench.waveform
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.waveform
> ### Title: Waveform Database Generator (written in C)
> ### Aliases: mlbench.waveform
> ### Keywords: datagen
> 
> ### ** Examples
> 
>   p<-mlbench.waveform(100)
>   plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "mlbench.xor"
> 
> ### * mlbench.xor
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mlbench.xor
> ### Title: Continuous XOR Benchmark Problem
> ### Aliases: mlbench.xor
> ### Keywords: datagen
> 
> ### ** Examples
> 
> # 2d example
> p<-mlbench.xor(300,2)
> plot(p)
> #
> # 3d example
> p<-mlbench.xor(300,3)
> plot(p)
> 
> 
> 
> cleanEx(); ..nameEx <- "plot.mlbench"
> 
> ### * plot.mlbench
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: plot.mlbench
> ### Title: Plot mlbench objects
> ### Aliases: plot.mlbench
> ### Keywords: hplot
> 
> ### ** Examples
> 
> # 6 normal classes
> p <- mlbench.2dnormals(500,6)
> plot(p)
> # 4-dimensiona XOR
> p <- mlbench.xor(500,4)
> plot(p)
> 
> 
> 
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", env = .CheckExEnv),"\n")
Time elapsed:  3.49 0.06 3.57 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')