in the toolbar, or by selecting
or selecting Polar Graph or Linear Graph from the View Menu.Data may be plotted in two formats: Polar Graph or Linear Graph
These can be accessed by clicking the analysis button in the toolbar, or by selecting
or selecting Polar Graph or Linear Graph from the View Menu.
The cap numbers (1-85) are represented by the radial lines. (Note - the angular spacing of the radial lines is not uniform - this is intentional).
The Error Scores are plotted for each cap, with the inner circle representing a score of 2 (caps in correct order). The circles corresponding to error scores of 5, 10 etc. are darker to assist with the interpretation of the graph.
A subject with 'perfect' hue discrimination would be able to put all caps in the correct order and in this case all caps would have a score of 2 and the polar graph would show a perfect circle around its inner circumference.
In practice, few people are able to achieve a perfect result and the polar graph will show a series of spokes around the hue circle corresponding to the caps which have been placed in the wrong order. The greater the deviation of the data points from the inner circumference, the worse the subject's hue discrimination. The range of colors which the subject has difficulty differentiating between can be ascertained directly from the graph.
Individuals with normal color vision (but poor hue discrimination) will make errors which are more or less randomly distributed around the hue circle. Individuals who are color defective will tend to make more errors in two areas on opposite sides of the hue circle (see Identifying color vision deficiencies)
A graphical representation of the data can be displayed on a linear graph by clicking on the icon in the toolbar and then selecting the Linear Graph check box, or by selecting Linear Graph from the View Menu. The cap numbers (1-85) are represented along the x-axis and the error scores are plotted against the y-axis. This format is rarely used.
The format of the display and the presentation of data can be customized in a number of ways: