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\def\title{Homework 1}
\def\due{Thursday, September 6, 2001}

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\title\\ 
Due: \due \\
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\item Read 
\begin{itemize}
\item ``Elementary Principles of Composition'' from Strunk
and White and 
\item the article ``Writing Technical Papers or Reports'', handed out
  in class today.

\item the article ``The Science of Scientific Writing''
handed out in class today.
\end{itemize}
(for discussion in class next Thursday).

On Friday  Aug 31 I will have copies of a handout on English as a second
language available outside my door.  Please pick one up an read it at
your liesure over the next two weeks.

\item Work through the first three Splus tutorials --
\begin{itemize}
\item Introduction: `An Introduction to Splus''
\item Dataframes: ``Reading Data in Splus''
\item Graphics: ``Producing Graphics in Splus''
\end{itemize}
available in many places, for example, at  {\tt
  http://www.stat.cmu.edu/\~{}brian/707/S-Tutorial}.    You do not
  have to hand anything in for this question.

\item[~] From the handout ``Examining Data'', handed out in class today,
  do the following exercises (using Splus as appropriate).  The data
  files are all in \\ 
{\tt http://www.stat.cmu.edu/\~{}brian/707/data}.

\item Ex. 3.1(a), p. 49  [data in Angell.dat, variable names in
  Angell.cbk.  Once you have copied the data to your local
  subdirectory, use
 ``\verb|angell<-read.table(angell.dat)|'' to read
the data, and then something like \\
``\verb|names(angell)<-c("Moral","Ethnic","Geog","Region")|'' to give
  the variables names]  {\em Write a short paragraph on each variable.}

\item Ex. 3.3(a), p. 53. Use the ``boxplot(split({\em quantitative
  variable}, {\em categorical variable}), style.bxp="old")''
  construction. {\em Write a short paragraph on your findings.  Add
  any additional plots or summaries that might help.}

\item Ex. 3.4(a), p. 56.  Use help(pairs) to learn about making a
  scatterplot matrix, and help(brush) for a 3-D scatterplot (I can't
  seem to get ``spin'' to work at the moment...).  In the ``brush''
  plot play with brushing and unbrushing several values, and with
  rotating the 3-D plot so that moral integration is on the vertical
  axis.  {\em Write a short paragraph on your findings.}


\item {\bf Writing exercise} Write a short (no more than two
  paragraphs) explanation of transformations of data, for a
  scientifically--literate reader.  You should assume that your reader
  is {\bf not} a statistician or mathematician; avoiding technical
  jargon is therefore important.  Cover what {\it you} consider to be
  the important points, while conveying enough information to the
  reader that she can gain an understanding of data transforming and
  its usefulness in data analysis.
  

\end{enumerate}




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