[R] complex barplot enquiry

[Bob Green]

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