Is there a function that adds a curve that fits the peaks if given two vectors and their plot? For example, I have:
x= c(0:20)
x [1] 0
Mathematically speaking, your problem is very poorly defined. You supply a range of discrete values, not a function, for your y values. This means it can not be differentiated to find local maxima.
That said, here is a bit of code that might get you started. It makes use of a function called peaks
, (attributed to Brian Ripley):
peaks<-function(series,span=3){
z <- embed(series, span)
s <- span%/%2
v<- max.col(z) == 1 + s
result <- c(rep(FALSE,s),v)
result <- result[1:(length(result)-s)]
result
}
x <- c(1:20)
y <- c(19.4, 17.9, 8.1, 11.3, 7.8, 8.0, 5.0, 1.7, 3.9,
5.4, 7.5, 5.4, 4.7, 5.0, 4.9, 3.5, 2.9, 2.4, 1.4, 1.7)
plot(x,y, type="l")
p <- which(peaks(y, span=3))
lines(x[p], y[p], col="red", type="b)
The problem is that the concept of local peaks is poorly defined. How local do you mean? The peaks algorithm as supplied allows you to modify the span
. Have a play and see whether it is helpful at all.