Matlab上のbootstrap, psignifitの出力について
>> helpwin psignifit
:
All other psignifit engine options are supported (see PSYCH_OPTIONS for
details. Of particular interest are the following):
CUTS: the levels at which thresholds and slopes are calculated
default is [0.2 0.5 0.8], which would, in the 2AFC paradigm
which is the default, correspond roughly to 60%, 75% and 90%
correct.
CONF: the cumulative probability values at which confidence interval
boundaries are calculated. The default setting is
[0.023 0.159 0.841 0.977]. If all distributions were Gaussian,
then this would correspond to [-2, -1, +1, +2] standard
deviations from the mean. If the CONF vector has 2 or 4 elements,
then error bars can be plotted from the results using the
function PSYCHERRBAR.
::
>> helpwin psignifit
:
All other psignifit engine options are supported (see PSYCH_OPTIONS for
details. Of particular interest are the following):
CUTS: the levels at which thresholds and slopes are calculated
default is [0.2 0.5 0.8], which would, in the 2AFC paradigm
which is the default, correspond roughly to 60%, 75% and 90%
correct.
CONF: the cumulative probability values at which confidence interval
boundaries are calculated. The default setting is
[0.023 0.159 0.841 0.977]. If all distributions were Gaussian,
then this would correspond to [-2, -1, +1, +2] standard
deviations from the mean. If the CONF vector has 2 or 4 elements,
then error bars can be plotted from the results using the
function PSYCHERRBAR.
::