Error in rollapply: subscript out of bounds - r

Question

I'd first like to describe my problem:
What i want to do is to calculate the number of spikes on prices in a 24 hour window, while I possess half hourly data.
I have seen all Stackoverflow posts like e.g. this one:
Rollapply for time series
(If there are more relevant ones, please let me know ;) )
As I cannot and probably also should not upload my data, here's a minimal example:
I simulate a random variable, convert it to an xts object, and use a user defined function to detect "spikes" (of course pretty ridiculous in this case, but illustrates the error).
library(xts)
##########Simulate y as a random variable
y <- rnorm(n=100)
##########Add a date variable so i can convert it to a xts object later on
yDate <- as.Date(1:100)
##########bind both variables together and convert to a xts object
z <- cbind(yDate,y)
z <- xts(x=z, order.by=yDate)
##########use the rollapply function on the xts object:
x <- rollapply(z, width=10, FUN=mean)
The function works as it is supposed to: it takes the 10 preceding values and calculates the mean.
Then, I defined an own function to find peaks: A peak is a local maximum (higher than m points around it) AND is at least as big as the mean of the timeseries+h.
This leads to:
find_peaks <- function (x, m,h){
shape <- diff(sign(diff(x, na.pad = FALSE)))
pks <- sapply(which(shape < 0), FUN = function(i){
z <- i - m + 1
z <- ifelse(z > 0, z, 1)
w <- i + m + 1
w <- ifelse(w < length(x), w, length(x))
if(all(x[c(z : i, (i + 2) : w)] <= x[i + 1])&x[i+1]>mean(x)+h) return(i + 1) else return(numeric(0))
})
pks <- unlist(pks)
pks
}
And works fine: Back to the example:
plot(yDate,y)
#Is supposed to find the points which are higher than 3 points around them
#and higher than the average:
#Does so, so works.
points(yDate[find_peaks(y,3,0)],y[find_peaks(y,3,0)],col="red")
However, using the rollapply() function leads to:
x <- rollapply(z,width = 10,FUN=function(x) find_peaks(x,3,0))
#Error in `[.xts`(x, c(z:i, (i + 2):w)) : subscript out of bounds
I first thought, well, maybe the error occurs because for it might run int a negative index for the first points, because of the m parameter. Sadly, setting m to zero does not change the error.
I have tried to trace this error too, but do not find the source.
Can anyone help me out here?
Edit: A picture of spikes:Spikes on the australian Electricity Market. find_peaks(20,50) determines the red points to be spikes, find_peaks(0,50) additionally finds the blue ones to be spikes (therefore, the second parameter h is important, because the blue points are clearly not what we want to analyse when we talk about spikes).

Answer 1

I'm still not entirely sure what it is that you are after. On the assumption that given a window of data you want to identify whether its center is greater than the rest of the window at the same time as being greater than the mean of the window + h then you could do the following:
peakfinder = function(x,h = 0){
xdat = as.numeric(x)
meandat = mean(xdat)
center = xdat[ceiling(length(xdat)/2)]
ifelse(all(center >= xdat) & center >= (meandat + h),center,NA)
}
y <- rnorm(n=100)
z = xts(y, order.by = as.Date(1:100))
plot(z)
points(rollapply(z,width = 7, FUN = peakfinder, align = "center"), col = "red", pch = 19)
Although it would appear to me that if the center point is greater than it's neighbours it is necessarily greater than the local mean too so this part of the function would not be necessary if h >= 0. If you want to use the global mean of the time series, just substitute the calculation of meandat with the pre-calculated global mean passed as an argument to peakfinder.