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AutomatedCompositePlotting()
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Automated plotting of time series, PSD, and log transformed PSD |
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CountWindows()
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Create a contingency table to display how many windows (dataframes) fall into particular categories |
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FindHomogeneousWindows()
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Assess if window (dataframe) share certain features across all observations |
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GenerateExampleData()
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Produce example data set for demonstrating package functions |
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GetHomogeneousWindows()
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Get windows (dataframes) that have the same specified column values for all observations |
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GetSubsetOfWindows()
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Select only windows (dataframes) where a specified column matches a specified value |
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GetSubsetOfWindowsTwoLevels()
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Select only windows (dataframes) where a two specified columns must match specified values |
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IdentifyMaxOnXY()
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Given a xy plot. Find the maximum value on the plot |
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MakeCompositePSDForAllWindows()
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Make PSD for each window (dataframe) in a list and then find the average of all the PSDs |
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MakeCompositeXYPlotForAllWindows()
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Find averaged xy plots |
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MakeOneSidedAmplitudeSpectrum()
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Create a one sided amplitude spectrum using time series data |
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MakePowerSpectralDensity()
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Create a power spectral density (PSD) plot using time series data |
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PSDDominantFrequencyForMultipleWindows()
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Calculate dominant frequency for multiple PSDs for a single frequency range |
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PSDIdentifyDominantFrequency()
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Given a time series vector, create a PSD and find the dominant frequency |
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PSDIntegrationPerFreqBin()
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Given a time series vector, generate a PSD, then calculate integration for specified bins |
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SingleBinPSDIntegrationForMultipleWindows()
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Calculate integral for multiple PSDs for a single frequency bin |
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SingleBinPSDIntegrationOrDominantFreqComparison()
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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 |