ShellChron (version 0.4.0)

peakid: Function that identifies peaks in a dataset

Description

Developed by William A. Huber

Usage

peakid(x, y, w = 1, ...)

Arguments

x

Vector of x values of input data

y

Vector of y values of input data

w

Window size for smoothing data

...

Additional arguments to be passed into LOESS function

Value

A vector listing the standard deviations of propagated errors propagated on all X values.

References

package dependencies: zoo 1.8.7

Huber, W.A., Data Smoothing and Peak Detection, Rpubs, Last accessed: December 8th, 2020. https://rpubs.com/mengxu/peak_detection

See Also

https://rpubs.com/mengxu/peak_detection

Examples

# NOT RUN {
# Create dummy periodic data
x <- seq(1, 100, 1)
y <- sin((2 * pi * (seq(1, 100, 1) - 8 + 20 / 4)) / 20)
# Run peakid function
result <- peakid(x, y, w = 20)
# }