McNamaraBins: McNamara Binning

In IRISSeismic: Classes and Methods for Seismic Data Analysis

McNamara Binning

Description

The McNamaraBins() function implements the binning algorithm specified in the "Data Preparation and Processing" section of Seismic Noise Analysis System Using Power Spectral Density Probability Density Functions.

Usage

McNamaraBins(df, loFreq, hiFreq, alignFreq)

Arguments

df	an R dataframe object
loFreq	optional lo end of frequency binning range (default=.005)
hiFreq	optional hi end of frequency binning range (default=10)
alignFreq	optional alignment frequency for determining frequency bins (default=0.1)

Details

The McNamaraBins() function accepts a dataframe with an arbitrary number of columns. At least one of the columns must be named 'freq' and must contain frequency values. These frequencies will be used to assign all associated values into appropriate bins according to the McNamara algorithm:

Frequencies for binning are generated at 1/8 octave intervals aligned to alignFreq. Binned values associated with each frequency bin are calculated by averaging incoming values over an entire octave centered on that frequency.

Value

A dataframe containing binned values is returned with the same column names as the incoming df argument.

Author(s)

Jonathan Callahan [e-mail]

References

Seismic Noise Analysis System Using Power Spectral Density Probability Density Functions (McNamara and Boaz 2005)

See Also

McNamaraPSD

IRISSeismic documentation built on Oct. 16, 2022, 1:09 a.m.