GEVASummary-class {geva} | R Documentation

## GEVA Summary-Variation Table

### 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`

[Package geva version 1.0.0 Index]