Shreyas wrote:Dear Norbert,

I am interested in JRP as my data is multivariate in nature.

However, I dint actually how to compute the JRP`s in CRP toolbox in Matlab and the Commandline RP tool.

Can you please provide suitable examples for the calculation of the JRP-RQA paramaters.

I could not get an idea so as how to compute the JRP-RQA parameters from the given literature of the CRP Toolbox and the CRP Standalone Tool.

My Inputformat consists of a file in which each column represents a time series.

Please advice me how to proceed with using the CRP toolbox and the CRP Standalone Tool.

Thanks in Advance.

Shreyas

Hi Shreyas,

using the CRP toolbox you can create a JRP by

- Code: Select all
`X = jrp(x,y);`

In order to perform a RQA, you have to calculate the histograms of lengths of the diagonal and vertical line lengths:

- Code: Select all
`[m hl] = dl(X); % histogram hl for diagonal line length`

[m hv] = tt(X); % histogram hv for vertical line length

You can now calculate the measures as follows

- Code: Select all
`RR = mean(X(:));`

DET = sum(hl(hl > 1)) / sum(hl)

LAM = sum(hv(hv > 1)) / sum(hv)

L = mean(hl(hl > 1))

TT = mean(hv(hv > 1))

I suggest to read the help text of the functions dl and tt.

The command line tool calculates directly the RQA measures. In order to calculate these measures from a JRP, just use the option -J.

Best regards

Norbert