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Table 3 The parameters for the group analysis function TEgroup_prepare.m.

From: TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy

field name ofcfg.

default value

input

description

shifttest

'yes'

string

perform shift test to identify instantaneous mixing between the signal pairs. Values: 'yes' or 'no'

shifttesttype

'TE > TEshift'

string

The shift test can be calculated for the direction TE value of original data greater than the TE values of shifted data (value = 'TE > TEshift') or vice versa (value = 'TEshift > TE'). In this case the alpha level for the shift test is set to 0.1

shifttype

'predicttime'

string

time shift used in shift test: 'onesample' - shift by one sample into the past; 'predicttime' -shift by the time specified in predicttime_u in TEprepare.m

dim

optimal embedding dimension found in TEprepare (recom-mended option)

integer number

Number of embedding dimensions. If not specified, the optimal dimension found in TEprepare will be used, which is the recommended option!

tau

(see description)

number

embedding delay in units of ACT

If not specified (recommended option), the tau is used as followed:

In case of optimizemethod in TEprepare:

'ragwitz' = optimal tau found via ragwitz criterion

'cao' = cfg.tau given by user in TEprepare

  1. This table contains all possible parameters needed for the function TEgroup_prepare.m (TRENTOOL Version 1.0) specified in the input structure cfg
  2. For integer numbers no type casting has to be performed!