hello, I have some data that looks similar to this (only not as nice as this):
Y <- c(abs(rnorm(100, 0.10, .1)), seq(.10, 1.0, .3)+rnorm(1, 0, .5) , seq(0.8, 4.0, .31)+rnorm(1, 0, .5) , seq(3.9, .20, -.2)+rnorm(1, 0, .5) , abs(rnorm(100, 0.13, .1)) , seq(.10, 1.2, .35)+rnorm(1, 0, .5) , seq(0.7, 6.0, .31)+rnorm(1, 0, .5) , seq(5.9, .23, -.18)+rnorm(1, 0, .5) , abs(rnorm(50, 0.18, .1)) ) plot(Y~c(1:length(Y))) # it is water level through time I am trying to find a way to divide these data into 3 sections , 1) the rising limbs, 2) falling limbs, and 3) not #1 or #2. I'll spare you the list of things I've tried, just know that the data is generally too noisy to use something as simple as which(diff(Y) > b), where b is some threshold. Please let me know if you have an idea of how to tackle this. -- View this message in context: http://r.789695.n4.nabble.com/deconstructing-curve-into-rising-and-falling-limbs-tp4647512.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.
