test_valid_ndr_object

This function takes an object and tests whether it is a valid NDR object;
i.e., whether it is an object that is either an DS, FP, CL, RM or CV object.
If it is a valid NDR object, then it returns a string specifying the prefix
of the type of object it is; i.e., 'ds', 'fp', 'cl', 'rm' or 'cv'. If it
is not an NDR object then an error is thrown.

internal

Neural decoding is method of analyzing neural data that
uses a pattern classifiers to predict experimental conditions based
on neural activity. 'NeuroDecodeR' is a system of objects that
makes it easy to run neural decoding analyses. For more information
on neural decoding see Meyers & Kreiman (2011)
<doi:10.7551/mitpress/8404.003.0024>.

Ethan Meyers

NeuroDecodeR

Decode Information from Neural Activity

test_valid_ndr_object function

<dl><dt>ndr_object</dt>
<dd>An object that should be an NDR object.</dd></dl>

Arguments

Tests if an object is a valid NDR object — test_valid_ndr_object

<dl>

<dt>ndr_object</dt>
<dd>An object that should be an NDR object.</dd>

</dl>

test_valid_ndr_object: Tests if an object is a valid NDR object

Description

Usage

Value

Arguments