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> -- View this message in context: http://r.789695.n4.nabble.com/Confidence-intervals-in-Ripley-s-K-function-a-little-challenge-tp4649392.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
