# Difference between revisions of "User:Josiah425:TISEAN Package:Table of functions"

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|compare || Compares two data sets || If 'rms' exists in Octave no need for port || FORTRAN | |compare || Compares two data sets || If 'rms' exists in Octave no need for port || FORTRAN | ||

|- | |- | ||

− | |corr || Autocorrelation function || | + | |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 | |d2 || Correlation dimension d2 || I believe not, don't know || c | ||

|- | |- | ||

− | |delay || Creates delay embedding || | + | |delay || Creates delay embedding || Most likely does not exist || C |

|- | |- | ||

|endtoend || Determine end-to-end mismatch || || | |endtoend || Determine end-to-end mismatch || || | ||

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|extrema || Determine the extrema of a time series || || | |extrema || Determine the extrema of a time series || || | ||

|- | |- | ||

− | |false_nearest || The false nearest neighbor algorithm || | + | |false_nearest || The false nearest neighbor algorithm || Does not exist || C |

|- | |- | ||

− | |ghkss || Nonlinear noise reduction || | + | |ghkss || Nonlinear noise reduction || There is not || C |

|- | |- | ||

− | |henon || Create a Hénon time series || | + | |henon || Create a Hénon time series || There is not || To m-file; already ported |

|- | |- | ||

|histogram || Creates histograms || || | |histogram || Creates histograms || || | ||

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|intervals || Event/intervcal conversion || || | |intervals || Event/intervcal conversion || || | ||

|- | |- | ||

− | |lazy || Simple nonlinear noise reduction || | + | |lazy || Simple nonlinear noise reduction || There is not || FORTRAN |

|- | |- | ||

|lfo-ar || Locally first order model vs. global AR model (old ll-ar) || || | |lfo-ar || Locally first order model vs. global AR model (old ll-ar) || || | ||

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|mem_spec || Power spectrum using the maximum entropy principle || || | |mem_spec || Power spectrum using the maximum entropy principle || || | ||

|- | |- | ||

− | |mutual || Estimate the mutual information || | + | |mutual || Estimate the mutual information || Does not exist || C |

|- | |- | ||

|notch || Notch filter || || | |notch || Notch filter || || | ||

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|nstat_z || Nonstationarity testing via cross-prediction || || | |nstat_z || Nonstationarity testing via cross-prediction || || | ||

|- | |- | ||

− | |pca || Principle component analysis || | + | |pca, pc || Principle component analysis || 'pcacov' if likely the equivalent || pca - C, pc - FORTRAN |

|- | |- | ||

|poincare || Create Poincaré sections || || | |poincare || Create Poincaré sections || || | ||

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|polypar || Creates parameter file for polynomp || || | |polypar || Creates parameter file for polynomp || || | ||

|- | |- | ||

− | |predict || Forecast discriminating statistics for surrogates || | + | |predict || Forecast discriminating statistics for surrogates || Does not exist || FORTRAN |

|- | |- | ||

|randomize || General constraint randomization (surrogates) || || | |randomize || General constraint randomization (surrogates) || || | ||

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|timerev || Time reversal discrimating statistics for surrogates || || | |timerev || Time reversal discrimating statistics for surrogates || || | ||

|- | |- | ||

− | |upo || Finds unstable periodic orbits and estimates their stability || | + | |upo || Finds unstable periodic orbits and estimates their stability || No corresponding function in Octave || FORTRAN |

|- | |- | ||

|upoembed || Takes the output of upo and create data files out of it || || | |upoembed || Takes the output of upo and create data files out of it || || |

## Revision as of 17:29, 2 April 2015

In reference to the TISEAN library alphabetical order of programs which is located here.

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 |

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 | ||

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 | ||

events | Interval/event conversion | ||

extrema | Determine the extrema of a time series | ||

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 | ||

ikeda | Create an Ikeda time series | ||

intervals | Event/intervcal conversion | ||

lazy | Simple nonlinear noise reduction | There is not | FORTRAN |

lfo-ar | Locally first order model vs. global AR model (old ll-ar) | ||

lfo-run | Iterate a locally first order model (old nstep) | ||

lfo-test | Test a locally first order model (old onestep) | ||

lorenz | Create a Lorenz time series | ||

low121 | Time domain low pass filter | ||

lyap_k | Maximal Lyapunov exponent with the Kantz algorithm | ||

lyap_r | Maximal Lyapunov exponent with the Rosenstein algorithm | ||

lyap_spec | Full spectrum of Lyapunov exponents | ||

lzo-gm | Locally zeroth order model vs. global mean | ||

lzo-run | Iterate a locally zeroth order model | ||

lzo-test | Test a locally zeroth order model (old zeroth) | ||

makenoise | Produce noise | ||

mem_spec | Power spectrum using the maximum entropy principle | ||

mutual | Estimate the mutual information | Does not exist | C |

notch | Notch filter | ||

nstat_z | Nonstationarity testing via cross-prediction | ||

pca, pc | Principle component analysis | 'pcacov' if likely the equivalent | pca - C, pc - FORTRAN |

poincare | Create Poincaré sections | ||

polyback | Fit a polynomial model (backward elimination) | ||

polynom | Fit a polynomial model | ||

polynomp | Fit a polynomial model (reads terms to fit from file) | ||

polypar | Creates parameter file for polynomp | ||

predict | Forecast discriminating statistics for surrogates | Does not exist | FORTRAN |

randomize | General constraint randomization (surrogates) | ||

randomize_spikeauto_exp_random | Surrogate data preserving event time autocorrelations | ||

randomize_spikespec_exp_event | Surrogate data preserving event time power spectrum | ||

rbf | Radial basis functions fit | ||

recurr | Creates a recurrence plot | ||

resample | Resamples data | There is 'resample' in Octave, but I believe it does something else | C |

rescale | Rescale data set | This should be in Octave, cannot find... | C |

rms | Rescale data set and get mean, variance and data interval | This should be in Octave, cannot find... | FORTRNAN |

sav_gol | Savitzky-Golay filter | ||

spectrum | Power spectrum using FFT | ||

spikeauto | Autocorrelation function of event times | ||

spikespec | Power spectrum of event times | ||

stp | Creates a space-time separation plot | ||

surrogates | Creates surrogate data | ||

timerev | Time reversal discrimating statistics for surrogates | ||

upo | Finds unstable periodic orbits and estimates their stability | No corresponding function in Octave | FORTRAN |

upoembed | Takes the output of upo and create data files out of it | ||

wiener | Wiener filter | ||

xc2 | Cross-correlation integral | ||

xcor | Cross-correlations | ||

xrecur | Cross-recurrence Plot | ||

xzero | Locally zeroth order cross-prediction |