Hi R helpers,
I have a set of data best shown in this below graph.
Each coloured line represents a statistic calculated across pairs of DNA
sequences. And for each coloured line, I would like to identify breakpoints -
so identify the chunks where the values are high, for example, in the light
blue line, there is a large high segment just after x=2e+05. From googling the
aim to find such points, I've read about something called change-point
analysis, used with time series data and I wondered if it or a variant of it in
R might be of use here, this data is a series of % values (double), all a
single measurement i.e. for each line, a 'scanner' passed over two sequences
and at each step recorded the % value. Can change-point analysis help me here
and if so what package or method will allow me to do this making as little
assumptions about my data as possible?
Thanks in advance,
Ben W.
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