R help - Nov 2012 - Confidence intervals in Ripley's K function - a little challenge...

I have plotted Ripley's K function for a spatial point pattern for 12 plots,
with 39 Monte Carlo simulations for complete spatial randomness (CSR). 

I would like to analyse these data as follows:

I would like to know for which plots the Ripley's K function deviates from
CSR at a number of confidence intervals, namely 90%, 95% and 99%.

I realise that simulation envelope I have produced is not a confidence
interval. 

Is there a way to plot the different confidence intervals (or confidence
bands) around the data points representing CSR, so I could see where the
observed data significantly deviate from the theoretical CSR at different
levels of confidence?

Alternately, could I plot the different confidence bands around the data
points representing my observed data, and do it this way instead? 

<http://r.789695.n4.nabble.com/file/n4649392/Env2.15.png> 



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Sorry - CSR = Complete Spatial Randomness. 



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