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Page Revision: 2014/07/24 04:45

The chart element plots any arbitrary data using different chart types and estimates the common descriptive statistics, e.g. mean, median, SD and SE.

Table of Contents [Hide/Show] Description Snapshots Data representation Chart designer Data representation Practical Use     Technique 1     Technique 2 Element actions aligned with different epochs of the parent event Notes Properties     Generic Properties

Description ¶

The chart element is capable of plotting arbitrary data using different chart types and data groups. The element auto-updates its chart, when data is modified or added. The generated chart can be shown either on the presentation or status screen. The element can be broadly used, when you want to monitor experimental effects or their development over a course of an experiment. In addition, the chart element returns the descriptive statistics of the collected data, e.g. mean, median, SD and SE values.

Snapshots ¶

Bar chart showing distribution of RTs

Box-and-Whisker Plot showing difference between 2 conditions

Data representation ¶

Before you start using the Chart element, it's important to understand how it handles data. The Chart operates with one or more datasets and you have to define in advance how many datasets will be used and plotted together on a chart. Each dataset contains a number of data points, which can be defined in different formats:

• A numerical pair of X-Y values (a dataset may contain any number of the X-Y pairs that may overlap)
• Indexed Y values (For each Y value its X counterpart is automatically defined by its index in a dataset. Correspondingly, there is only one Y value for every integer index from 0 to N)
• Text values, or pairs of X-Text values (the text data points are normally used to defines labels for chart's axis).
  

Check the following screenshot of the chart designer, in which 3 datasets with different data points are previewed:

Datasest with different data points (left) and the generated chart (right). The datasets include: 1) indexed Y values (bars), b) X-Y pairs (scatter), c) X-Text values (labels for the X axis) Click on the screen shot to enlarge

To avoid confusion, use the same data point type within each dataset.

Chart designer ¶

The chart element has a visual designer that allows to manage datasets and visualization settings. Once you decide what data you want to visualize in an experiment, you can open the designer via the Chart designer property of the element.

Data representation ¶

Practical Use ¶

Technique 1 ¶

1. Step 1
2. Step 2
   

Technique 2 ¶

1. Step 1
2. Step 2
   

 // Check the trial outcome. Result and RT just other user variables
// insert code snippet here..

Element actions aligned with different epochs of the parent event ¶

Epoche	Actions
Initialized	The camera starts capturing video
Rendered
Activating
Activated
Running	The camera output is captured and rendered via the Video Output property, if the latter is bound to the status screen
Deactivated
Deinitialized	The camera stops capturing video

Notes ¶

Insert Notes here..

Properties ¶

Generic Properties ¶

Name	Description	Constraints	Value Type	Upon Runtime Change
Settings
name	description	attributes Design Time.. Designtime Command.. Status.. Normal.. Runtime Command.. WriteOnly..	type String	Visual Update..

+=== Properties inherited from clElement === Inherited properties of clElement

Name	Description	Constraints	Value Type	Upon Change
Control
Is Enabled	If set to false the element is completely omitted when the experiment is run.	Design Time..	Boolean
Title	Title of the element.	Design Time..	String