PD-class: Class '"PD"'

In oscarperpinan/pdcluster: Partial Discharge Clustering

Description

Partial discharge features class.

Objects from the Class

Objects can be created by calls of the form df2PD(x, ...)

Slots

angle:

numeric, reference angle (0:360)

data:

data.frame, result of the analysis function.

refl:

logical, is the signal of this row a reflection?

filter:

call, condition used to filter the object with filterPD-methods.

filtered:

logical, has been filtered with filterPD-methods?

transformed:

logical, has been filtered with filterPD-methods?

refl.rm:

logical, TRUE if the reflections were erased be filterPD

key:

Numeric, an index to identify each signal.

description:

character

Methods

as.data.frame

signature(x = "PD"): ...

claraPD

signature(object = "PD"): ...

densityplot

signature(x = "PD", data = "missing"): ...

filterPD

signature(object = "PD"): ...

histogram

signature(x = "PD", data = "missing"): ...

identifyPD

signature(object = "PD"): ...

isFiltered

signature(object = "PD"): ...

isTransformed

signature(object = "PD"): ...

PD2Long

signature(object = "PD"): ...

show

signature(object = "PD"): ...

splom

signature(x = "PD", data = "missing"): ...

transformPD

signature(object = "PD"): ...

xyplot

signature(x = "PD", data = "missing"): ...

Author(s)

Oscar Perpiñán Lamigueiro

oscarperpinan/pdcluster documentation built on May 24, 2019, 4:52 p.m.