SegmentationData-class: Class 'SegmentationData'
In LearningToTalk/SegmentationData: Learning To Talk | Parsing Segmented TextGrids

Description Objects from the Class Slots Extends Methods Author(s) References Examples

The SegmentationData class is used to parse and analyze segmented TextGrids that are created as a part of the Learning To Talk project.

Objects can be created by calls to the generic constructor function link{SegmentationData}.

segmenter:: A character string; the segmenter's initials.
subjectID:: A character string; the subject's alphanumeric identification code.
task:: A character string; the name of the experimental task.
textGridXMin:: A numeric value; the start time of the recording session.
textGridXMax:: A numeric value; the end time of the recording session.
timeUnit:: A character string; the unit in which the time measurements are expressed.

Class data.frame, directly. Class list, by class "data.frame", distance 2. Class oldClass, by class "data.frame", distance 2. Class vector, by class "data.frame", distance 3.

coerce: signature(from = "SegmentationData", to = "data.frame"): ...
endTime: signature(.Object = "SegmentationData"): Returns the value of the textGridXMax slot.
segmenter: signature(.Object = "SegmentationData"): Returns the value of the segmenter slot.
startTime: signature(.Object = "SegmentationData"): Returns the value of the textGridXMin slot.
subjectID: signature(.Object = "SegmentationData"): Returns the value of the subjectID slot.
task: signature(.Object = "SegmentationData"): Returns the value of the task slot.
textGridXMax: signature(.Object = "SegmentationData"): Returns the value of the textGridXMax slot.
textGridXMin: signature(.Object = "SegmentationData"): Returns the value of the textGridXMin slot.
timeUnit: signature(.Object = "SegmentationData"): Returns the value of the timeUnit slot.
SaveData: signature(x = "SegmentationData", format = "character"):