[rkward-cvs] SF.net SVN: rkward:[3279] branches/jss_dec_10/FINAL_JSS_TEX

[tfry at users.sourceforge.net]

Revision: 3279
          http://rkward.svn.sourceforge.net/rkward/?rev=3279&view=rev
Author:   tfry
Date:     2010-12-20 13:24:34 +0000 (Mon, 20 Dec 2010)

Log Message:
-----------
Minor stuff

Modified Paths:
--------------
    branches/jss_dec_10/FINAL_JSS_TEX/GUI_elements.tex
    branches/jss_dec_10/FINAL_JSS_TEX/example_session.tex

Modified: branches/jss_dec_10/FINAL_JSS_TEX/GUI_elements.tex
===================================================================
--- branches/jss_dec_10/FINAL_JSS_TEX/GUI_elements.tex	2010-12-20 12:13:05 UTC (rev 3278)
+++ branches/jss_dec_10/FINAL_JSS_TEX/GUI_elements.tex	2010-12-20 13:24:34 UTC (rev 3279)
@@ -399,7 +399,7 @@
 \label{sec:package_management}
 The number of \proglang{R} packages available from CRAN (the comprehensive \proglang{R} archive
 network), Omegahat\footnote{\url{http://www.omegahat.org/}} and Bioconductor \citep{Gentleman2004} has grown exponentially since \proglang{R} v. 1.3
-(2001) to \proglang{R} v. 2.7 (2008) \citep{Fox2008, Ligges2003, Visne2009, }. RKWard
+(2001) to \proglang{R} v. 2.7 (2008) \citep{Fox2008, Ligges2003, Visne2009}. RKWard
 utilizes functionality from a growing number of these packages, but avoids
 making the installation of all supported packages a pre-requirement to using
 RKWard at all. Once a non-installed package is required to conduct a certain

Modified: branches/jss_dec_10/FINAL_JSS_TEX/example_session.tex
===================================================================
--- branches/jss_dec_10/FINAL_JSS_TEX/example_session.tex	2010-12-20 12:13:05 UTC (rev 3278)
+++ branches/jss_dec_10/FINAL_JSS_TEX/example_session.tex	2010-12-20 13:24:34 UTC (rev 3279)
@@ -1,24 +1,22 @@
 \section{Using RKWard - an example RKWard session}
 \label{sec:using_RKWard}
-To see how RKWard works in practice an example session is described.
-This might be a routinely used procedure on changing data stets or
-\proglang{R} scripts which are complex and therfore
-more conveniently used guided manner. We assume that an experimental
+This section describes an example RKWard session, in order to give an idea
+what working with RKWard is like in practice.
+The session is organized along the routine tasks of importing,
+analyzing, and visulazing data. In this example, we assume that an experimental
 treatment was given to 20 test subjects and the values of the dependent
 variable before and after the treatment should be compared. 
 
 \subsection{Importing data}
 \label{sec:importing_data}
-The data was saved as or exported to CSV format for example from a
-spread sheet application. RKWards import plugin can
+Data which was saved as or exported to CSV format for example from a
+spread sheet application. RKWard's import plugin can
 comfortably read it into a new \proglang{R} object.
 The import dialog (``File->Import->Import
 format->Import Text / CSV data'') assists during the
 selection of the data by a common point and click interface (Figure~\ref{fig:import_data}A). Within our
 example ``comma'' and ``period'' were chosen via ``Quick mode'' as field
-separator character and decimal point character respectively. RKWard
-also takes care of name conflicts in the .GlobalEnv or suggests to
-overwrite or use another name.
+separator character and decimal point character respectively.
 
 \code{read.csv(file=/media/software/experiment.txt, 
 na.strings = NA, nrows = -1, skip = 0,
@@ -30,25 +28,24 @@
 \begin{figure}[htp]
  \centering
  \includegraphics[clip=true,trim=0cm 5.7cm 0cm 5.7cm,width=16cm]{../figures/import_data.pdf}
- \caption{A) RKWard provides useful defaults
-to import widely used data formats, including SPSS and Stata files. As
-a common example the import of CSV data was chosen. B) Data editor. The imported CSV
-data from experiment.txt are presented (data visually trimmed).}
+ \caption{A) CSV import dialog. Useful defaults for a variety of common text separated value formats can
+  be set using the ``Quick Mode'' selector on the left. Beyond that, many options can be customized. B) Data editor. The imported CSV
+  data from experiment.txt are presented (data visually trimmed).}
  \label{fig:import_data}
 \end{figure}
 
 \subsection{Conducting a Student's t-test}
 \label{sec:conducting_ttest}
 To test the hypothesis that the given treatment significantly increased
-the values of the dependent variable, a Students
+the values of the dependent variable, a Student's
 t-test for a paired sample is applied. In the variable slot on the left
 side you select the variables from the unfolded
-\proglang{R} object (Figure~\ref{fig:t_test}A).
+\proglang{R} object containing the table of imported data (Figure~\ref{fig:t_test}A).
 
 \begin{figure}[htp]
  \centering
  \includegraphics[clip=true,trim=0cm 5.7cm 0cm 5.7cm,width=16cm]{../figures/t-test.pdf}
- \caption{A) Students t-test dialog for a two variables. B) Test results in \proglang{HTML} format.}
+ \caption{A) Student's t-test dialog for a two variables. B) Test results in \proglang{HTML} format.}
  \label{fig:t_test}
 \end{figure}
 
@@ -58,7 +55,7 @@
 \subsection{Creating a plot}
 \label{sec:create_plot}
 To visualize the test data, ``Boxplot'' is chosen from the ``Plots'' menu
-and variables selected like for the Students t-test.
+and variables selected are as for the Student's t-test.
 The dialog allows to define custom variable labels (Figure~\ref{fig:boxplot1}).
 
 Checking the ``Preview'' box will open a graphics window, show the plot as


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