Statistical dependency in visual scanning
Human Factors
The visual display of quantitative information
The visual display of quantitative information
Envisioning information
Randomized algorithms
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This article considers systems described in terms of a qualitative variable with S states, investigated in numerous empirical situations. Thus, the experimental design or observational design yields N time data sets, one for each empirical situation. Each data set is characterized by an S*S transition matrix and all the transition values are placed on a data table with N rows and S*S columns. The table is subjected to correspondence analysis, which highlights the inter-and intra-individual differences. To illustrate the approach, a didactic example using simulated data is presented, followed by an actual example using eye movement in car driving.