## crqad_big

Computes and plots the diagonalwise CRQA measures of long data series.

### Syntax

```
crqad_big(x)
crqad_big(x,y)
y=crqad_big(x,y,m,t,e,w)
y=crqad_big(x,y,m,t,e,[],'param1','param2',...)
```

### Description

Recurrence quantification analysis of diagonals in the
cross recurrence plot of the vectors `x` and `y` as well as
`x` and `-y` for the diagonals within
the range `[-w,w]` around the main diagonal.
The output is a structure (see below).

The input vectors can be multi-column vectors, where each column will be used as a component of the phase-space vector. However, if the first column is monotonically increasing, it will be used as an time scale for plotting.

### Parameters

Dimension `m`, delay `t`, the size of
neighbourhood `e` and the range size `w`
are the first five numbers after
the data series; if `w=[]` then the whole plot will
be calculated. Further parameters can be used
to switch between various methods of finding the
neighbours of the phasespace trajectory, to suppress
the normalization of the data and to suppress the
GUI (useful in order to use this programme by other
programmes).

Methods of finding the neighbours. | ||

'maxnorm' | - | Maximum norm. |

'euclidean' | - | Euclidean norm. |

'minnorm' | - | Minimum norm. |

'rr' | - | Maximum norm, fixed recurrence rate. |

Normalization of the data series. | ||

'normalize' | - | Normalization of the data. |

'nonormalize' | - | No normalization of the data. |

Suppressing the GUI. | ||

'gui' | - | Creates the GUI and the output plot. |

'nogui' | - | Suppresses the GUI and the output plot. |

'silent' | - | Suppresses all output. |

Output | ||

y.RRp | - | Recurrence rate for (x,y). |

y.RRm | - | Recurrence ratefor (x,y). |

y.DETp | - | Determinism (x,y). |

y.DETm | - | Determinism (x,-y). |

y.Lp | - | Averaged diagonal length (x,y). |

y.Lm | - | Averaged diagonal length (x,-y). |

Parameters are optional and not required.

### Limitations

In contrast to `crqad`, only maximum, Euclidean and minimum norm
are available.

### Examples

```
a=sin(0:.1:800)+randn(1,8001);
b=sin(0:.1:800)+randn(1,8001);
crqad_big(a,b,3,15,.1,50,'euc')
```

### Remarks

A GUI for this task is under development.

### See Also

### References

Marwan, N., Kurths, J.: Nonlinear analysis of bivariate data with cross recurrence plots, Phys. Lett. A, 302, 2002.