All functions

AutomatedCompositePlotting()

Automated plotting of time series, PSD, and log transformed PSD

CountWindows()

Create a contingency table to display how many windows (dataframes) fall into particular categories

FindHomogeneousWindows()

Assess if window (dataframe) share certain features across all observations

GenerateExampleData()

Produce example data set for demonstrating package functions

GetHomogeneousWindows()

Get windows (dataframes) that have the same specified column values for all observations

GetSubsetOfWindows()

Select only windows (dataframes) where a specified column matches a specified value

GetSubsetOfWindowsTwoLevels()

Select only windows (dataframes) where a two specified columns must match specified values

IdentifyMaxOnXY()

Given a xy plot. Find the maximum value on the plot

MakeCompositePSDForAllWindows()

Make PSD for each window (dataframe) in a list and then find the average of all the PSDs

MakeCompositeXYPlotForAllWindows()

Find averaged xy plots

MakeOneSidedAmplitudeSpectrum()

Create a one sided amplitude spectrum using time series data

MakePowerSpectralDensity()

Create a power spectral density (PSD) plot using time series data

PSDDominantFrequencyForMultipleWindows()

Calculate dominant frequency for multiple PSDs for a single frequency range

PSDIdentifyDominantFrequency()

Given a time series vector, create a PSD and find the dominant frequency

PSDIntegrationPerFreqBin()

Given a time series vector, generate a PSD, then calculate integration for specified bins

SingleBinPSDIntegrationForMultipleWindows()

Calculate integral for multiple PSDs for a single frequency bin

SingleBinPSDIntegrationOrDominantFreqComparison()

Given sets of windows (dataframes) corresponding to different combos, see if the integration or dominant frequency of a specific frequency range is significantly different between the combos