competences: Calculate Competence Positions
In mpia: Meaningful Purposive Interaction Analysis

Description Usage Arguments Value Methods Author(s) References See Also Examples

competences calculates a single or a set of meaning vectors representing the competence positions occupied by the given performances in the social semantic space. Multiple performances can be positioned in the space in such close vicinity that they occupy a single competence position (with their mutual associative closeness being above the identity threshold).

The given collection of performances is analysed using agglomerative clustering (provided by agnes), thereby cutting the resulting cluster dendrogram at the identityThreshold.

Returns a reference to a single object or a vector of references pointing to multiple objects of type Performance.

1	competences(x)

`x`	a vector of references to `Performance` objects.

One or more competence positions (of type object Performance).

signature(x = "HumanResourceManager"): Collects all performances of all persons managed by the HumanResourceManager (field people) and subsequently calculates their underlying competence positions (using the competences generic of the performance list object). Returns a list of Performance positions.
signature(x = "Person"): Calculates the competence positions underyling the performances of a given person using the competences generic of the performance list object. Returns a list of Performance positions.
signature(x = "Performance"): Calculates the competence positions underlying a given list of performances. If the argument is a single performance, the performance itself is returned.

Fridolin Wild <wild@brookes.ac.uk>

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

agnes, cutree, identityThreshold

dmgr = DomainManager()
data(generic.domain)
dmgr$add(d, title="generic")

ppl = HumanResourceManager(dmgr)

fridolin = ppl$add("fridolin")
fridolin$write("this demonstrates skills in business.", label="example")
terms(fridolin)

max = ppl$add("maximilian")
max$write("shows skills in business")

jo = ppl$add("jo")
jo$write("risk assessment is another topic")

competences(ppl)