# [Distr-commits] r747 - in pkg/setRNG: . inst/doc vignettes

Thu Nov 17 02:53:48 CET 2011

Author: pgilbert
Date: 2011-11-17 02:53:48 +0100 (Thu, 17 Nov 2011)
New Revision: 747

pkg/setRNG/vignettes/
pkg/setRNG/vignettes/setRNG.Stex
Removed:
pkg/setRNG/inst/doc/setRNG.Stex
Log:
moving vignettes from inst/doc to vignettes/.

Deleted: pkg/setRNG/inst/doc/setRNG.Stex
===================================================================
--- pkg/setRNG/inst/doc/setRNG.Stex	2011-11-06 09:31:47 UTC (rev 746)
+++ pkg/setRNG/inst/doc/setRNG.Stex	2011-11-17 01:53:48 UTC (rev 747)
@@ -1,68 +0,0 @@
-\documentclass[english]{article}
-\begin{document}
-
-%\VignetteIndexEntry{setRNG Guide}
-\SweaveOpts{eval=TRUE,echo=TRUE,results=hide,fig=FALSE}
-\begin{Scode}{echo=FALSE,results=hide}
- options(continue="  ")
-\end{Scode}
-
-\section{setRNG Functions}
-
-In R, the functions in this package are made available with
-
-\begin{Scode}
-library("setRNG")
-\end{Scode}
-
-As of R-2.1.0 the code from the vignette that generates this guide can
-be loaded into an editor with \emph{edit(vignette("setRNG"))}.
-This uses the default editor, which can be changed using \emph{options()}.
-Also, it should be possible to view the pdf version of the guide for this
-package with \emph{print(vignette("setRNG"))}.
-
-
-This library provides tools to simplify recording and resetting the random
-number generator, to help make monte carlo experiments easily reproducible.
-It uses the R/S tools for setting the seed, but also records and sets
-the mechanism for converting uniform numbers to normally distributed numbers.
-(It could be extended to other transformations, but I have not done that.)
-
-The setRNG function would typically be called by simulation programs. For
-example, if \emph{rng=NULL} is an argument to the function then the code
-
-\begin{Scode}{eval=FALSE,echo=FALSE,results=hide}
- rng <- NULL
-\end{Scode}
-
-\begin{Scode}{eval=FALSE,echo=TRUE,results=hide}
-if(!require("setRNG")) {
-    stop("This function requires the setRNG package.") }
-if(is.null(rng)) rng <- setRNG() else
-            {old.rng <- setRNG(rng);  on.exit(setRNG(old.rng))  }
-\end{Scode}
-
-should be used before the random number generator is used. This will set the
-RNG information if given, and in all cases record the RNG information which
-can then be returned with the result
-of the simulation. (\emph{setRNG()} returns the setting so do not skip this if
-\emph{rng=NULL}.) With the information recorded the simulation can always be
-reproduced if
-necessary. In the case where the rng is set to a specified value it is
-good practice to set it back to the original value on exit. This prevents other
-random experiments from accidentally being affected by the rng setting.
-
-The library also implements an approach to random number generation
-which allows the same random experiments to be replicated in S and R.
-The functions in the S directory allow the R results using
-Wichmann-Hill and Box-Muller to be replicated in S. These were done with
-the aid of an example from B. D. Ripley. (The files in the S
-directory of the package are for use with S not R.)
-These functions are intended primarily as a way to confirm that simulations and
-estimations with simulated data work in
-the same way in both S and R, not as an improved RNG. (It has only been tested
-in Splus 3.3) Default and other
-RNGs can still be used and are preferred for both speed and
-theoretical reasons.
-
-\end{document}

Copied: pkg/setRNG/vignettes/setRNG.Stex (from rev 746, pkg/setRNG/inst/doc/setRNG.Stex)
===================================================================
--- pkg/setRNG/vignettes/setRNG.Stex	                        (rev 0)
+++ pkg/setRNG/vignettes/setRNG.Stex	2011-11-17 01:53:48 UTC (rev 747)
@@ -0,0 +1,68 @@
+\documentclass[english]{article}
+\begin{document}
+
+%\VignetteIndexEntry{setRNG Guide}
+\SweaveOpts{eval=TRUE,echo=TRUE,results=hide,fig=FALSE}
+\begin{Scode}{echo=FALSE,results=hide}
+ options(continue="  ")
+\end{Scode}
+
+\section{setRNG Functions}
+
+In R, the functions in this package are made available with
+
+\begin{Scode}
+library("setRNG")
+\end{Scode}
+
+As of R-2.1.0 the code from the vignette that generates this guide can
+be loaded into an editor with \emph{edit(vignette("setRNG"))}.
+This uses the default editor, which can be changed using \emph{options()}.
+Also, it should be possible to view the pdf version of the guide for this
+package with \emph{print(vignette("setRNG"))}.
+
+
+This library provides tools to simplify recording and resetting the random
+number generator, to help make monte carlo experiments easily reproducible.
+It uses the R/S tools for setting the seed, but also records and sets
+the mechanism for converting uniform numbers to normally distributed numbers.
+(It could be extended to other transformations, but I have not done that.)
+
+The setRNG function would typically be called by simulation programs. For
+example, if \emph{rng=NULL} is an argument to the function then the code
+
+\begin{Scode}{eval=FALSE,echo=FALSE,results=hide}
+ rng <- NULL
+\end{Scode}
+
+\begin{Scode}{eval=FALSE,echo=TRUE,results=hide}
+if(!require("setRNG")) {
+    stop("This function requires the setRNG package.") }
+if(is.null(rng)) rng <- setRNG() else
+            {old.rng <- setRNG(rng);  on.exit(setRNG(old.rng))  }
+\end{Scode}
+
+should be used before the random number generator is used. This will set the
+RNG information if given, and in all cases record the RNG information which
+can then be returned with the result
+of the simulation. (\emph{setRNG()} returns the setting so do not skip this if
+\emph{rng=NULL}.) With the information recorded the simulation can always be
+reproduced if
+necessary. In the case where the rng is set to a specified value it is
+good practice to set it back to the original value on exit. This prevents other
+random experiments from accidentally being affected by the rng setting.
+
+The library also implements an approach to random number generation
+which allows the same random experiments to be replicated in S and R.
+The functions in the S directory allow the R results using
+Wichmann-Hill and Box-Muller to be replicated in S. These were done with
+the aid of an example from B. D. Ripley. (The files in the S
+directory of the package are for use with S not R.)
+These functions are intended primarily as a way to confirm that simulations and
+estimations with simulated data work in
+the same way in both S and R, not as an improved RNG. (It has only been tested
+in Splus 3.3) Default and other
+RNGs can still be used and are preferred for both speed and
+theoretical reasons.
+
+\end{document}