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

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! Program Name !! Program Description !! Corresponding Octave Function !! Comments | ! Program Name !! Program Description !! Corresponding Octave Function !! Comments | ||

|- | |- | ||

− | |arima-model || Fit and possibly iterate an ARIMA model || | + | |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 || | + | |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 || | + | |ar-run || Iterate an Autoregessive model || Same as above || FORTRAN |

|- | |- | ||

− | |av-d2 || Simply smooth output of d2 || | + | |av-d2 || Simply smooth output of d2 || Same as above || C |

|- | |- | ||

− | |boxcount || Renyi Entopies of Qth order || | + | |boxcount || Renyi Entopies of Qth order || There most likely is none || C |

|- | |- | ||

|c1 || Fixed mass estimation of D1 || || | |c1 || Fixed mass estimation of D1 || || | ||

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|corr || Autocorrelation function || || | |corr || Autocorrelation function || || | ||

|- | |- | ||

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

|- | |- | ||

|delay || Creates delay embedding || || | |delay || Creates delay embedding || || | ||

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|recurr || Creates a recurrence plot || || | |recurr || Creates a recurrence plot || || | ||

|- | |- | ||

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

|- | |- | ||

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

|- | |- | ||

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

|- | |- | ||

|sav_gol || Savitzky-Golay filter || || | |sav_gol || Savitzky-Golay filter || || |

## Revision as of 16:54, 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 | ||

c2d | Get local slopes from correlation integral | ||

c2g | Gaussian kernel of C2 | ||

c2t | Takens estimator of D2 | ||

choose | Choose rows and/or columns from a data file | ||

compare | Compares two data sets | ||

corr | Autocorrelation function | ||

d2 | Correlation dimension d2 | I believe not, don't know | c |

delay | Creates delay embedding | ||

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 | ||

ghkss | Nonlinear noise reduction | ||

henon | Create a Hénon time series | ||

histogram | Creates histograms | ||

ikeda | Create an Ikeda time series | ||

intervals | Event/intervcal conversion | ||

lazy | Simple nonlinear noise reduction | ||

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 | ||

notch | Notch filter | ||

nstat_z | Nonstationarity testing via cross-prediction | ||

pca | Principle component analysis | ||

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 | ||

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 | ||

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 |