near: Who or What is Near?

Description Methods Author(s) References

Description

Determine whether positions of persons or their textual activity (aka 'performances') are in close proximity.

This set of methods test whether vector locations in the conceptual space (of given domain) are close to each other: to be close, the cosine between the vectors has to be above the proximity threshold (see Domain$proximityThreshold).

The meaning vectors of individual 'performances' such as readings and writings have a location in the space and so do the positions of persons (calculated via the centroid of the locations of all their performances).

Methods

signature(object = "HumanResourceManager", to = "Performance")

Test whether any person has a position close to the location of a textual activity (aka 'performance'). Returns a vector of persons that are in close proximity (or NULL otherwise).

signature(object = "HumanResourceManager", to = "Person")

Test whether any person has a position close to the location of the person handed over in 'to'. Returns a vector of persons that are in close proximity (or NULL otherwise).

signature(object = "Performance", to = "Performance")

Test wether the locations of two textual activities are location-wise close to each other. Returns TRUE if this is the case and FALSE otherwise.

signature(object = "Performance", to = "Person")

Test whether the location of a textual activity in the multidimensional conceptual space is close to the position of a given person 'to'. Returns TRUE if this is the case and FALSE otherwise.

signature(object = "Person", to = "Performance")

Test whether the position of a person is close to the location of a textual activity 'to'. Returns TRUE if this is the case and FALSE otherwise.

signature(object = "Person", to = "Person")

Test whether the positions of two persons are close. Returns TRUE if this is the case and FALSE otherwise.

Author(s)

Fridolin Wild <wild@brookes.ac.uk>

References

Fridolin Wild (2016): Learning Analytics in R with SNA, LSA, and MPIA, Springer:Berlin.


mpia documentation built on May 2, 2019, 4:18 p.m.