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== Table of functions ==
+
In reference to the TISEAN library alphabetical order of programs which is located [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/alphabetical.html| here].
−
In reference to the TISEAN library alphabetical order of programs which is located [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/alphabetical.html here].
 
  
−
The choice whether a program exist in Octave is based only on comparing package/octave documentation with the TISEAN documentation. As of now I have not compared any code, nor checked if any sample data gives the same results from both functions (the octave ones and the TISEAN ones).
 
−
 
−
The legend to understand the table is as follows:
 
 
{| class="wikitable"  
 
{| class="wikitable"  
−
|-style="background: LightGreen"
 
−
|Green means the function is ported, tested or is not needed
 
−
|-style="background: LightSalmon"
 
−
|Red means the function was thought to have been similar but isn't
 
−
|-style="background: Yellow"
 
−
|Yellow means that the correlation between the TISEAN and Octave function needs to be verified
 
 
|-
 
|-
−
|No color means that nothing about this function has been determined
+
! Program Name !! Program Description !! Corresponding Octave Function !! Comments
−
|}
+
|-
−
 
+
| arima-model || Fit and possibly iterate an ARIMA model || There is 'aar' in TSA but cannot determine if this is different or not || This is a c-file that can be wrapped in C++/mfile/octfile code
−
{| class="wikitable"  
+
|-
 +
|ar-model || Fit and possibly iterate an Autoregessive model || Same as above || C; see also: aarmam, adim, amarma, mvaar from TSA
 +
|-
 +
|ar-run || Iterate an Autoregessive model || Same as above || FORTRAN
 +
|-
 +
|av-d2 || Simply smooth output of d2 || Same as above || C
 +
|-
 +
|boxcount || Renyi Entopies of Qth order || There most likely is none || C
 +
|-
 +
|c1 || Fixed mass estimation of D1 || Most likely is none || FORTRAN
 +
|-
 +
|c2d || Get local slopes from correlation integral || Most likely none || FORTRAN
 +
|-
 +
|c2g || Gaussian kernel of C2 || Does not exist || FORTRAN
 +
|-
 +
|c2t || Takens estimator of D2 || Most likely 'rmle' from tsa || FORTRAN
 +
|-
 +
|choose || Choose rows and/or columns from a data file || Does not need to be ported || ------
 +
|-
 +
|compare || Compares two data sets || If 'rms' exists in Octave no need for port || FORTRAN
 +
|-
 +
|corr, autocorr || Autocorrelation function || There is 'acorf' in tsa but i don't know if is the same || corr -C, autocorr (faster according to documentation) - FORTRAN
 +
|-
 +
|d2 || Correlation dimension d2 || I believe not, don't know || c
 +
|-
 +
|delay || Creates delay embedding || Most likely does not exist || C
 +
|-
 +
|endtoend || Determine end-to-end mismatch || Does not exist || FORTRAN
 +
|-
 +
|events || Interval/event conversion || Might exist, most likely does not || FORTRAN to be implemented as mfile
 +
|-
 +
|extrema || Determine the extrema of a time series || A min or max function exist, though I do not know if it accomplishes the same task || C
 +
|-
 +
|false_nearest || The false nearest neighbor algorithm || Does not exist || C
 +
|-
 +
|ghkss || Nonlinear noise reduction || There is not || C
 +
|-
 +
|henon || Create a Hénon time series || There is not || To m-file; already ported
 +
|-
 +
|histogram || Creates histograms || Might exist, cannot find(obviously histogram exists, but I cannot tell if it "estimates the scalar distribution of data set")  || C
 +
|-
 +
|ikeda || Create an Ikeda time series || Does not exist || FORTRAN to be reimplemented as mfile
 +
|-
 +
|intervals || Event/intervcal conversion || Might exist under different name || FORTRAN to be reimplemented as mfile
 +
|-
 +
|lazy || Simple nonlinear noise reduction || There is not || FORTRAN
 +
|-
 +
|lfo-ar || Locally first order model vs. global AR model (old ll-ar) || Does not exist || C
 +
|-
 +
|lfo-run || Iterate a locally first order model (old nstep) || Does not exist || C
 +
|-
 +
|lfo-test || Test a locally first order model (old onestep) || Does not exist || C
 +
|-
 +
|lorenz || Create a Lorenz time series || Does not exist || FORTRAN
 +
|-
 +
|low121 || Time domain low pass filter || There are lowpass filters in Octave: buttap, cheb1ap, cheb2ap, ellipap, sftrans, but I don't think they perform this task || C, might be ok to implement as mfile
 +
|-
 +
|lyap_k || Maximal Lyapunov exponent with the Kantz algorithm || Does not exist || C
 +
|-
 +
|lyap_r || Maximal Lyapunov exponent with the Rosenstein algorithm || Does not exist || C
 +
|-
 +
|lyap_spec || Full spectrum of Lyapunov exponents || Does not exist || C
 +
|-
 +
|lzo-gm || Locally zeroth order model vs. global mean || Does not exist || C
 +
|-
 +
|lzo-run || Iterate a locally zeroth order model || Does not exist || C
 +
|-
 +
|lzo-test || Test a locally zeroth order model (old zeroth) || Does not exist || C
 +
|-
 +
|makenoise || Produce noise || Rand exists || Should be implemented as mfile using Octave rand functions
 +
|-
 +
|mem_spec || Power spectrum using the maximum entropy principle || Does not exist || C
 +
|-
 +
|mutual || Estimate the mutual information || Does not exist || C
 +
|-
 +
|notch || Notch filter || pei_tseng_notch, needs to be verified || FORTRAN
 +
|-
 +
|nstat_z || Nonstationarity testing via cross-prediction || Does not exist || C
 +
|-
 +
|pca, pc || Principle component analysis || 'pcacov' if likely the equivalent || pca - C, pc - FORTRAN
 +
|-
 +
|poincare || Create Poincaré sections || Does not exist || C
 +
|-
 +
|polyback || Fit a polynomial model (backward elimination) || polyfit, detrend, wpolyfit || I do not know if they work the same way, but it does seem so, written in C
 +
|-
 +
|polynom || Fit a polynomial model || same as above || same as above
 +
|-
 +
|polynomp || Fit a polynomial model (reads terms to fit from file) || same as above  || same as above
 +
|-
 +
|polypar || Creates parameter file for polynomp || same as above || same as above
 +
|-
 +
|predict || Forecast discriminating statistics for surrogates || Does not exist || FORTRAN
 
|-
 
|-
−
! Program Name !! Program Description !! Corresponding Octave Function !! Lanuguage of Origin !! How to port !! Status
+
|randomize || General constraint randomization (surrogates) || There are random function, but I don't think this one exists || FORTRAN
 
|-
 
|-
−
| arima-model || Fit and possibly iterate an ARIMA model || generalizes TSA arma functions || C || wrapped in C++/mfile/octfile code ||
+
|randomize_spikeauto_exp_random || Surrogate data preserving event time autocorrelations || Same as above  || Same as above
 
|-
 
|-
−
|ar-model || Fit and possibly iterate an Autoregessive model || 'aar' in TSA; see also: aarmam, adim, amarma, mvaar from TSA || C  || wrapped in C++/mfile/octfile code ||
+
|randomize_spikespec_exp_event || Surrogate data preserving event time power spectrum || Same as above || Same as above
 
|-
 
|-
−
|ar-run || Iterate an Autoregessive model || Same as above || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|rbf || Radial basis functions fit || Does not exist || C
−
|-style="background: LightGreen"
 
−
|av-d2 || Simply smooth output of d2 || Can be implemented with filter in core || C ||  ||
 
−
|-style="background: LightGreen"
 
−
|boxcount || Renyi Entopies of Qth order || None in GNU Octave (maybe in info-theory but it is not worth the pain) || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|c1 || Fixed mass estimation of D1 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|c2d || Get local slopes from correlation integral || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|c2g || Gaussian kernel of C2 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|c2t || Takens estimator of D2 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|choose || Choose rows and/or columns from a data file || Does not need to be ported || FORTRAN || ----- || Not Needed
 
−
|-style="background: LightGreen"
 
−
|compare || Compares two data sets || Does not need to be ported || FORTRAN || ------ || Not Needed
 
−
|-style="background: LightGreen"
 
−
|corr, autocorr || Autocorrelation function || xcorr in signal || corr -C, autocorr (faster according to documentation) - FORTRAN || ------- || Different usage, same result
 
−
|-style="background: LightGreen"
 
−
|d2 || Correlation dimension d2 || None in GNU Octave  || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|delay || Creates delay embedding || None in GNU Octave (easy to implement in Octave but not worth the effort) || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|endtoend || Determine end-to-end mismatch || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
 
 
|-
 
|-
−
|events || Interval/event conversion || None in GNU Octave || FORTRAN || To be reimplemented as m-file ||
+
|recurr || Creates a recurrence plot || Does not exist || C
−
|-style="background: LightSalmon"
 
−
|extrema || Determine the extrema of a time series || findpeaks in signal is *not* the same || C ||  ||
 
−
|-style="background: LightGreen"
 
−
|false_nearest || The false nearest neighbor algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|ghkss || Nonlinear noise reduction || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|henon || Create a Hénon time series || None in GNU Octave || FORTRAN || To be reimplemented as m-file || Ported&Checked
 
−
|-style="background: LightGreen"
 
−
|histogram || Creates histograms || hist in core  || C ||  || Different usage, same result
 
−
|-style="background: LightGreen"
 
−
|ikeda || Create an Ikeda time series || None in GNU Octave || FORTRAN || To be reimplemented as mfile || Ported&Tested
 
 
|-
 
|-
−
|intervals || Event/intervcal conversion || Might exist under different name || FORTRAN || To be reimplemented as mfile ||
+
|resample || Resamples data || There is 'resample' in Octave, but I believe it does something else || C
−
|-style="background: LightGreen"
 
−
|lazy || Simple nonlinear noise reduction || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|lfo-ar || Locally first order model vs. global AR model (old ll-ar) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|lfo-run || Iterate a locally first order model (old nstep) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|lfo-test || Test a locally first order model (old onestep) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: Yellow"
 
−
|lorenz || Create a Lorenz time series || Can be implemented in GNU Octave using lsode or odepkg|| FORTRAN || mfile ||
 
 
|-
 
|-
−
|low121 || Time domain low pass filter || There are lowpass filters in Octave: buttap, cheb1ap, cheb2ap, ellipap, sftrans, but I don't think they perform this task || C || Reimplement as mfile ||
+
|rescale || Rescale data set || This should be in Octave, cannot find... || C
−
|-style="background: LightGreen"
 
−
|lyap_k || Maximal Lyapunov exponent with the Kantz algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|lyap_r || Maximal Lyapunov exponent with the Rosenstein algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|lyap_spec || Full spectrum of Lyapunov exponents || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
−
|-style="background: LightGreen"
 
−
|lzo-gm || Locally zeroth order model vs. global mean || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|lzo-run || Iterate a locally zeroth order model || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|lzo-test || Test a locally zeroth order model (old zeroth) || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
 
|-
 
|-
−
|makenoise || Produce noise || Rand exists || Should be implemented as mfile using Octave rand functions || wrapped in C++/mfile/octfile code ||
+
|rms || Rescale data set and get mean, variance and data interval || This should be in Octave, cannot find...  || FORTRNAN
 
|-
 
|-
−
|mem_spec || Power spectrum using the maximum entropy principle || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
+
|sav_gol || Savitzky-Golay filter || Does not exist || C
−
|-style="background: LightGreen"
 
−
|mutual || Estimate the mutual information || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: Yellow"
 
−
|notch || Notch filter || pei_tseng_notch, needs to be verified || FORTRAN || wrapped in C++/mfile/octfile code ||
 
 
|-
 
|-
−
|nstat_z || Nonstationarity testing via cross-prediction || None in GNU Octave || C ||wrapped in C++/mfile/octfile code  ||
+
|spectrum || Power spectrum using FFT || bispec from tsa? || FORTRAN
−
|-style="background: LightGreen"
 
−
|pca, pc || Principle component analysis || 'pcacov' if likely the equivalent; pricomp in statistics || pca - C, pc - FORTRAN ||  wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|poincare || Create Poincaré sections || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightSalmon"
 
−
|polyback || Fit a polynomial model (backward elimination) || polyfit, detrend, wpolyfit are not similar || C || wrapped in C++ || Porting needed
 
−
|-style="background: LightGreen"
 
−
|polynom || Fit a polynomial model || same as above || C ||  ||
 
−
|-style="background: LightSalmon"
 
−
|polynomp || Fit a polynomial model (reads terms to fit from file) || same as above  || C ||  ||
 
−
|-style="background: LightSalmon"
 
−
|polypar || Creates parameter file for polynomp || same as above || C ||  ||
 
−
|-style="background: LightGreen"
 
−
|predict || Forecast discriminating statistics for surrogates || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Same as lzo_test; Not Needed
 
 
|-
 
|-
−
|randomize || General constraint randomization (surrogates) || There are random function, but I don't think this one exists || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|spikeauto || Autocorrelation function of event times || similar to above || FORTRAN
 
|-
 
|-
−
|randomize_spikeauto_exp_random || Surrogate data preserving event time autocorrelations || Same as above  || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|spikespec || Power spectrum of event times || ar_psd, cpsd is the closest but I do not think they are the same || FORTRAN
 
|-
 
|-
−
|randomize_spikespec_exp_event || Surrogate data preserving event time power spectrum || Same as above || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|stp || Creates a space-time separation plot || Does not exist || FORTRAN
−
|-style="background: LightGreen"
 
−
|rbf || Radial basis functions fit || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
 
|-
 
|-
−
|recurr || Creates a recurrence plot || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
+
|surrogates || Creates surrogate data || Does not exist || FORTRAN
 
|-
 
|-
−
|resample || Resamples data || There is 'resample' in Octave, but I believe it does something else || C || wrapped in C++/mfile/octfile code ||
+
|timerev || Time reversal discrimating statistics for surrogates || Does not exist || FORTRAN, to be implemented as mfile
 
|-
 
|-
−
|rescale || Rescale data set || This should be in Octave, cannot find... || C || wrapped in C++/mfile/octfile code ||
+
|upo || Finds unstable periodic orbits and estimates their stability || No corresponding function in Octave || FORTRAN
−
|-style="background: LightGreen"
 
−
|rms || Rescale data set and get mean, variance and data interval || This should be in Octave, cannot find...  || FORTRNAN || wrapped in C++/mfile/octfile code || Not Needed
 
−
|-style="background: Yellow"
 
−
|sav_gol || Savitzky-Golay filter || sgolayfilt in signal || C ||  ||
 
−
|-style="background: LightGreen"
 
−
|spectrum || Power spectrum using FFT || abs (fft (;)) || FORTRAN || Rewrite as m-file || Ported&Tested
 
 
|-
 
|-
−
|spikeauto || Autocorrelation function of event times || similar to above || FORTRAN ||  ||
+
|upoembed || Takes the output of upo and create data files out of it || Same as above || Same as above
 
|-
 
|-
−
|spikespec || Power spectrum of event times || ar_psd, cpsd is the closest but I do not think they are the same || FORTRAN ||  ||
+
|wiener1, wiener2 || Wiener filter || Wiener process exists, might be similar || FORTRAN
 
|-
 
|-
−
|stp || Creates a space-time separation plot || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|xc2 || Cross-correlation integral || xcorr2 || Needs to be verified that works the same way
−
|-style="background: LightGreen"
 
−
|surrogates || Creates surrogate data || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|timerev || Time reversal discrimating statistics for surrogates || None in GNU Octave || FORTRAN || To be reimplemented as mfile || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|upo || Finds unstable periodic orbits and estimates their stability || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
 
−
|-style="background: LightGreen"
 
−
|upoembed || Takes the output of upo and create data files out of it || None in GNU Octave || FORTAN || wrapped in C++/mfile/octfile code || Ported&Tested
 
 
|-
 
|-
−
|wiener1, wiener2 || Wiener filter || Wiener process exists, might be similar || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|xcor || Cross-correlations || xcorr || Needs to be verified that works same way
 
|-
 
|-
−
|xc2 || Cross-correlation integral || xcorr2 - Needs to be verified that works the same way || FORTRAN || wrapped in C++/mfile/octfile code ||
+
|xrecur || Cross-recurrence Plot || xcorr, or xcorr2 or another function might cover this || C
−
|-style="background: Yellow"
 
−
|xcor || Cross-correlations || xcorr - Needs to be verified that works same way || C|| wrapped in C++/mfile/octfile code ||
 
 
|-
 
|-
−
|xrecur || Cross-recurrence Plot || xcorr, or xcorr2 or another function might cover this || C || wrapped in C++/mfile/octfile code ||
+
|xzero || Locally zeroth order cross-prediction || Does not exist || C
−
|-style="background: LightGreen"
 
−
|xzero || Locally zeroth order cross-prediction || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
 
 
|}
 
|}

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