GEVAGroupedSummary-class {geva} | R Documentation

## GEVA Grouped Summary-Variation Table

### Description

The `GEVAGroupedSummary` class inherits the `GEVASummary` class and includes group analysis data (e.g., clustering and quantile detection).

### Value

A `GEVAGroupedSummary` object

### Slots

`sv`

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

`inputdata`

  GEVAInput-class with the data input
  (Inherited from `GEVASummary`)

`sv.method`

  Names of the statistical methods used to summarize data
  (Inherited from `GEVASummary`)

`info`

  list with additional information
  (Inherited from `GEVASummary`)

`groupsetlist`

  `TypedList` of `GEVAGroupSet` objects

### Methods

(See also the inherited methods from `GEVASummary`)

Conversion and coercion

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

  Converts this object to `expression`

`as.matrix(x, ...)`

  Converts this object to `matrix`

Plotting

`lines(x, ...)`

  Draws delimiters within quantiles and convex hulls around the clustered points

`plot(x, y, ...)`

  Draws a SV-plot. The horizontal axis is for summary (S) and the vertical axis is for variation (V).
  In addition, highlights the included group sets

`points(x, ...)`

  Generic `points` implementation for `GEVAGroupedSummary`

Properties

`analysis.params(gobject)`

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

Sub-slot accessors

`cluster.method(object)`

  Gets a `character` vector listing the `cluster.method` from each group set

`quantiles(object)`

  Gets the `GEVAQuantiles`, or `NULL` if not present

[Package geva version 1.0.0 Index]