R help - Dec 2006 - complex barplot enquiry

Hello,

I was hoping for some advice to resolve a problem I am having trouble with.

The data consists of a series of pre and post variables, in a dataframe 
called 'offend'. I am interested in graphically depicting the pre &
post
values for a factor variable called 'decision' which has 4 values :
nusm,
fit, unsound & unfit. An example of a pre and post variable is: pre.damage 
and post.damage (data below). I wanted to exclude all values = 0, and 
collapse the remaining values into 3 categories .e.g 1, 2-5, 6 plus.

For each 'decision' group the final graph would contain the alternating
pre
and post values for 'damage'.  For example, for 'fit' the first
bar would
have a pre value = 18 & a post value = 4, the second pre bar would = 17 and 
the post bar = 2, and the third pre bar would = 2  & the post = 1.

I have experimented with lattice, entering the values (e.g as per above), 
however I was hoping to find a solution to directly extract the data from 
the dataframe as I wanted to generate 16 such graphs.

Any assistance is much appreciated,


regards

Bob Green

 > table(decision,pre.damage)
          pre.damage
decision    0      1   2   3   4   5   6   7   8   9  10  11  13  14 20
   fit           89   18    9   4   2   2   1   0   0   1   0   0   0   0   0
   nusm     158  44  15   5   5   6   6   3   1   1   2   0   0   0   0
   unfit         27    2   2   0   0   1   0   0   0   0   0   0   0   0   0
   unsound 333  68  36   8   5   4   1   0   0   0   0   1   1   1   1

 > table(decision,post.damage)
          post.damage
decision    0      1    2   3   4   5   6   7  10  12  13
   fit     	     119    4    1   1   0   0   0   0   1   0   0
   nusm     212  16   11   2   0   2   1   1   0   1   0
   unfit         31    1    0   0   0   0   0   0   0   0   0
   unsound 441    8    5   3   1   0   0   0   0   0   1

On Dec 23, 2006, at 12:07 AM, Bob Green wrote:

<snip>
> The data consists of a series of pre and post variables, in a  
> dataframe
> called 'offend'. I am interested in graphically depicting the pre
&
> post
> values for a factor variable called 'decision' which has 4 values :
> nusm,
> fit, unsound & unfit. An example of a pre and post variable is:  
> pre.damage
> and post.damage (data below). I wanted to exclude all values = 0, and
> collapse the remaining values into 3 categories .e.g 1, 2-5, 6 plus.
>
> For each 'decision' group the final graph would contain the  
> alternating pre
> and post values for 'damage'.  For example, for 'fit' the
first bar
> would
> have a pre value = 18 & a post value = 4, the second pre bar would  
> = 17 and
> the post bar = 2, and the third pre bar would = 2  & the post = 1.
<snip>
> > table(decision,pre.damage)
>           pre.damage
> decision    0      1   2   3   4   5   6   7   8   9  10  11  13   
> 14 20
>    fit           89   18    9   4   2   2   1   0   0   1   0   0    
> 0   0   0
>    nusm     158  44  15   5   5   6   6   3   1   1   2   0   0    
> 0   0
>    unfit         27    2   2   0   0   1   0   0   0   0   0   0    
> 0   0   0
>    unsound 333  68  36   8   5   4   1   0   0   0   0   1   1   1   1
>
> > table(decision,post.damage)
>           post.damage
> decision    0      1    2   3   4   5   6   7  10  12  13
>    fit     	     119    4    1   1   0   0   0   0   1   0   0
>    nusm     212  16   11   2   0   2   1   1   0   1   0
>    unfit         31    1    0   0   0   0   0   0   0   0   0
>    unsound 441    8    5   3   1   0   0   0   0   0   1
Could you please post commands to define the df 'offend'?
_____________________________
Professor Michael Kubovy
University of Virginia
Department of Psychology
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