GEVASummary-class: GEVA Summary-Variation Table

Description Value Slots Methods

Description

The GEVASummary class represents the calculation results for summary and variation from a GEVAInput.

This class inherits from SVTable.

Value

A GEVASummary object

Slots

sv

numeric matrix composed by two columns: S (summary) and V (variation)
(Inherited from SVTable)

inputdata

GEVAInput-class with the data input

sv.method

Names of the statistical methods used to summarize data

info

list with additional information

Methods

(See also the inherited methods from SVTable)


Conversion and coercion

as.expression(x, ginput, ...)

Gets the expression that reproduces this GEVASummary object, including function parameters used by geva.summary. The ginput argument is optional but can be specified to replace the internal GEVAInput

as.matrix(x, ...)

Equivalent to sv(x)


Grouping

groupsets(object) <- value

Converts this instance to GEVAGroupedSummary and sets the list of GEVAGroupSet objects. Can be used with $<name> to specify the object name in the list. If value is a GEVAGroupSet, inserts the element and sets the name based on the value call

groupsets(object)

Gets the list of GEVAGroupSet objects attached to this instance. Only applicable for GEVAGroupedSummary objects


Plotting

plot(x, y, ...)

Draws a SV-plot. The horizontal axis is for summary (S) and the vertical axis is for variation (V)


Properties

analysis.params(gobject)

Returns a list of analysis parameters passed to geva.summarize to obtain this object

get.summary.method(x)

Gets a character for the summarization method name

get.variation.method(x)

Gets a character for the variation calculation method name


Sub-slot accessors

factors(object) <- value

Sets the value to the factor slot in the internal GEVAInput

factors(object)

Gets the factor defined in the factors slot in the internal GEVAInput

featureTable(object)

Gets the data.frame from the ftable slot in the internal GEVAInput

infolist(object, field = NULL, ...)

Gets the list from the info slot.
If recursive is TRUE, appends the contents from the info slot in the internal GEVAInput

inputvalues(object)

Gets the matrix from the values slot in the internal GEVAInput

inputweights(object, normalized)

Gets the matrix from the weights slot in the internal GEVAInput


nunesijg/geva documentation built on March 12, 2021, 3:58 p.m.