isDeserialisable {tractor.base} | R Documentation |
Reference object serialisation and deserialisation
Description
Rather than using R's save
and load
functions
directly for reference objects, TractoR uses the
SerialisableObject
class and these functions to save
and load objects. The main difference is that this approach stores only the
data in the object, and not the functions which operate on them. This helps
backward compatibility when new member functions are added.
Usage
isDeserialisable(object, expectedClass = NULL)
serialiseReferenceObject(object, file = NULL)
deserialiseReferenceObject(file = NULL, object = NULL, raw = FALSE)
registerDeserialiser(className, deserialiser)
Arguments
object |
For |
expectedClass |
A class name which the object is expected to inherit.
Any class is acceptable if this parameter is |
file |
A file name to deserialise from. |
raw |
If |
className |
A string naming a class to be handled by the specified deserialiser. |
deserialiser |
A function taking as its argument a list of serialised fields, and returning a suitable deserialised object. |
Details
The serialiseReferenceObject
function, or the serialise
member
function of the SerialisableObject
class can be used to create
and/or save
a version of an object which contains a
hierarchical representation of the data embedded in it. These serialised
objects are standard R lists, with an "originalClass"
attribute
describing the class of the original object. The
deserialiseReferenceObject
function can be used to deserialise them.
Custom deserialisers can be specified using registerDeserialiser
,
typically for legacy classes.
Note that this should generally NOT be used as the primary mechanism for
saving and loading MriImage
objects. Saving to standard
NIfTI/Analyze format is usually preferable, and can be done using
writeImageFile
.
Value
isDeserialisable
returns TRUE
if the object
is
deserialisable and inherits from the specified class.
deserialiseReferenceObject
returns a raw or reconstituted object
after deserialisation.
Author(s)
Jon Clayden
References
Please cite the following reference when using TractoR in your work:
J.D. Clayden, S. Muñoz Maniega, A.J. Storkey, M.D. King, M.E. Bastin & C.A. Clark (2011). TractoR: Magnetic resonance imaging and tractography with R. Journal of Statistical Software 44(8):1-18. doi:10.18637/jss.v044.i08.
See Also
SerialisableObject
, save
,
load
, writeImageFile
.