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Here is my experiment:

I am using the "findPeaks" function in the "Quantmod" package:

I want to detect "local" peaks within a tolerance 5, i.e. the first locations after the time series drops from the local peaks by 5:

aa=100:1
bb=sin(aa/3)
cc=aa*bb
plot(cc, type="l")
p=findPeaks(cc, 5)
points(p, cc[p])
p

The output is

[1] 3 22 41

It seems wrong... as I am expecting more "local peaks" than 3...

Any thoughts?

Thanks a lot!

It only picks up 3 peaks, which is obviously wrong, am I correct?

Thanks a lot!

Here is my experiment:

I am using the findPeaks function in the quantmod package:

I want to detect "local" peaks within a tolerance 5, i.e. the first locations after the time series drops from the local peaks by 5:

aa=100:1
bb=sin(aa/3)
cc=aa*bb
plot(cc, type="l")
p=findPeaks(cc, 5)
points(p, cc[p])
p

The output is

[1] 3 22 41

It seems wrong, as I am expecting more "local peaks" than 3...

Any thoughts?

Here is my experiment:

I am using the "findPeaks" function in the "Quantmod" package:

I want to detect "local" peaks within a tolerance 5, i.e. the first locations after the time series drops from the local peaks by 5:

aa=100:1 bb=sin(aa/3) cc=aa*bb plot(cc, type="l") p=findPeaks(cc, 5) points(p, cc[p])

p

[1] 3 22 41

It seems wrong... as I am expecting more "local peaks" than 3...

Any thoughts?

Thanks a lot!

It only picks up 3 peaks, which is obviously wrong, am I correct?

Thanks a lot!

Here is my experiment:

I am using the "findPeaks" function in the "Quantmod" package:

I want to detect "local" peaks within a tolerance 5, i.e. the first locations after the time series drops from the local peaks by 5:

aa=100:1
bb=sin(aa/3)
cc=aa*bb
plot(cc, type="l")
p=findPeaks(cc, 5)
points(p, cc[p])
p

The output is

[1] 3 22 41

It seems wrong... as I am expecting more "local peaks" than 3...

Any thoughts?

Thanks a lot!

It only picks up 3 peaks, which is obviously wrong, am I correct?

Thanks a lot!