POP_EVENTSTAT Computes and plots statistical characteristics of an EEG event, including the data histogram, a fitted normal distribution, a normal ditribution fitted on trimmed data, a boxplot, and the QQ-plot. The estimates value are printed in a panel and can be read as output. NaNs are omitted. See signalstat().

Usage: >> OUTEEG = pop_eventstat( EEG ); % pops up
>> [M,SD,sk,k,med,zlow,zhi,tM,tSD,tndx,ksh] = pop_eventstat( EEG, eventfield, type );
>> [M,SD,sk,k,med,zlow,zhi,tM,tSD,tndx,ksh] = pop_eventstat( EEG, eventfield, type, percent );

Inputs:
EEG   
input EEG dataset
eventfield   
event field to process (i.e. latency)
type   
name of the event type(s) to process. Can be a single element or a cell array. Default is all types.
latrange   
[min max] event latency range within data epochs in milliseconds. Default is whole epoch.
percent   
percentage for trimmed data statistics. Default is 5%. (see signalstat())

Outputs:
OUTEEG   
output dataset

Author: Arnaud Delorme & Luca Finelli, CNL / Salk Institute - SCCN, 15 August 2002

See also: signalstat(), eeg_getepochevent, eeglab()

See the matlab file pop_eventstat.m (may require other functions)

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