Man pages for EarthSystemDiagnostics/paleospec
Spectral tools for the ECUS group
| AddConfInterval | Add confidence interval |
| AnPowerlaw | A PSD(freq) for a powerlaw with variance 1 |
| ApplyFilter | Filter time series |
| ApproxNearest | approximate a timeseries using the nearest neighbour |
| as.data.frame.spec | Transform a spec Object Into a Dataframe |
| as.spec | Make a spec Object |
| as_spec_df | Make a spec_df Object |
| AvgToBin | Bin averaging |
| Bandpass | Calculate Weights for a Bandpass Filter |
| BinTimeseries | Bin a Timeseries Preserving Empty Bins |
| ClosestElement | Get closest element of a vector |
| ColTransparent | Modify a color to get brighter and tranparent for the... |
| ConfRatio | Confidence Interval of ratios |
| ConfVar | Provide ChiSquared confidence intervals for ratios |
| DF2Spec | Transform a spec_df Object into a spec Object or List of spec... |
| FilterSpec | Filter a Power Spectrum Object |
| FilterSpecLog | Smooth a Spectrum with Evenly Spaced Bins in Logspace |
| FirstElement | first element of a vector |
| fweights | weights |
| fweights.lin | fweights.lin |
| gen.ran.seq | Generate Random Numbers Without Affecting the State of... |
| GetTransferFunction | Derives and plots the transfer function (given a filter) |
| GetVarFromSpectra | Variance estimate by integrating a part of the spectrum |
| gg_spec | Plot One or More Spectra with ggplot2 |
| Highpass | calculate weights for a bandpass filter |
| InverseFilter | Construct the inverse filter in the time domain |
| is.spectrum | Check for spectral object |
| LastElement | last element of a vector |
| LLines | Add a spectrum to an existing log-log spectral plot. |
| LogSmooth | Smooths the spectrum using a log smoother |
| Lowpass | Calculate weights for lowpass filter |
| LPlot | Log-log spectral plot. |
| MakeEquidistant | Average an irregular timeseries to a regular timeseries |
| mean.ACF | Title |
| MeanSpectrum | Weighted mean spectrum |
| MonthlyFromDaily | Bin daily values to monthly values |
| mvacf.by.fft | Title |
| NaFillTs | NaFill |
| PSP.CorAfterRollmean | Numerical correlation of random timeseries with different... |
| PSP.CorUntilF | lowpass filtered expected correlation of powerlaw signal pair |
| PS.VarUntilF | Variance of a powerlaw process if integrated from until... |
| remove.highestFreq | Remove high frequencies |
| remove.lowestFreq | Remove low frequencies |
| SimFromEmpiricalSpec | Simulate a random timeseries consistent with an arbitrary... |
| SimPLS | Simulate a random timeseries with a powerlaw spectrum |
| SimPowerlaw | Simulate a random timeseries with a powerlaw spectrum |
| SimPowerlawPiecewise | Simulate a timeseries with length N which has a spectra... |
| SimProxySeries | Simulate a Proxy Time Series Assuming a Power-Law Power... |
| SimulatePowerlawSignalPair | Create a pair of random signals with powerlaw signal and... |
| SlopeFit | Fit a power-law to the spectrum |
| smoothlin.cutEnd | smoothlin.cutEnd |
| smoothlog | smoothlog |
| smoothlog.cutEnd | smoothlog.cutEnd |
| Spec2DF | Transform Spec Object(s) Into a Dataframe |
| SpecACF | Estimate Power Spectra via the Autocovariance Function With... |
| SpecInterpolate | Interpolate spectrum |
| SpecMTM | MTM spectral estimator |
| SubsampleTimeseriesBlock | Subsample (downsample) timeseries using block averaging#' |
| TrimNA | Remove leading and trailing rows of all NA |
| weights | weights |
