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("RII-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('RII')
Loading required package: splines
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "RII.CVplot"
> 
> ### * RII.CVplot
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: RII.CVplot
> ### Title: RII Cross Validation Plots
> ### Aliases: RII.CVplot
> ### Keywords: models regression
> 
> ### ** Examples
> 
> ## Plot the cross validation score over a range
> ## of smoothing parameter values for the LSDeaths data
> data(LSDeaths)
> LSdead <- xtabs(Deaths ~ class + age, data = LSDeaths)
> LSatrisk <- xtabs(AtRisk ~ class + age, data = LSDeaths)
> RII.CVplot(LSdead, LSatrisk, loglambda = seq(-2,18,len=21))
> 
> 
> 
> cleanEx(); ..nameEx <- "RII"
> 
> ### * RII
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: RII
> ### Title: Relative Index of Inequality Estimation
> ### Aliases: RII print.RII summary.RII print.summary.RII
> ### Keywords: models regression
> 
> ### ** Examples
> 
> ## Estimate the RII for the LSDeaths data,
> ## using a smoothing parameter of 1
> data(LSDeaths)
> LSdead <- xtabs(Deaths ~ class + age, data = LSDeaths)
> LSatrisk <- xtabs(AtRisk ~ class + age, data = LSDeaths)
> LSRII <- RII(LSdead, LSatrisk, loglambda = 0)
> 
> 
> 
> cleanEx(); ..nameEx <- "plot.RII"
> 
> ### * plot.RII
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: plot.RII
> ### Title: Plot RII Objects
> ### Aliases: plot.RII
> ### Keywords: models regression
> 
> ### ** Examples
> 
> ## Estimate the RII for the LSDeaths data,
> ## using a smoothing parameter of 1
> data(LSDeaths)
> LSdead <- xtabs(Deaths ~ class + age, data = LSDeaths)
> LSatrisk <- xtabs(AtRisk ~ class + age, data = LSDeaths)
> LSRII <- RII(LSdead, LSatrisk, loglambda = 0)
> 
> ## Plot the data and fitted death rate for each age group
> par(mfrow=c(2,2))
> plot(LSRII, group = "25-34", main = "(a) age group 25-34")
> plot(LSRII, group = "35-44", main = "(b) age group 35-44")
> plot(LSRII, group = "45-54", main = "(c) age group 45-54")
> plot(LSRII, group = "55-64", main = "(d) age group 55-64")
> 
> 
> 
> graphics::par(get("par.postscript", env = .CheckExEnv))
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", env = .CheckExEnv),"\n")
Time elapsed:  7.51 0 7.56 0 0 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')