Methods for plotting categorical longitudinal and time-series data by mapping individuals to the vertical space (each horizontal line represents a participant), time (or repeated measures) to the horizontal space, categorical (or discrete) states as facets using color or shade, and events to points using plotting characters. Sorting individuals in the vertical space and (or) stratifying them by groups can reveal patterns in the changes over time.
|Author||Stephen Tueller. Funded by the National Institute on Drug Abuse (NIDA) Award number 1R03DA030850, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775, and the National Institute of Justic Award Number 2011-RY-BX-0003.|
|Date of publication||2017-01-09 21:46:26|
|Maintainer||Stephen Tueller <firstname.lastname@example.org>|
|License||GPL (>= 3)|
alignTime: Align time data at a given state or event
colChoose: Internal Function for Selecting Color Schemes Used by...
example2cat: Example data for 'longCatPlot'.
example2cont: Simulated Data for Illustrating longContPlot
example3: Simulated Data for Illustrating longCat and longCatPlot
levelCheck: Function to Check Factor Levels
longCat: Creation of Objects of Class longCat
longCat-class: Class '"longCat"'
longCatEDA-package: Plot Categorical Longitudinal and Time-Series Data
longCatPlot: Plotting of lc objects
longContPlot: Plot Continuous Longitudinal Data
lunique: Find the Unique Number of Factors
makePatterns: Concatenate Multivariate Data into Numeric or Character...
norpt: A function to take out repeated observations in a vector of...
sorter: General Sorting Function
summary-methods: ~~ Methods for Function 'summary' ~~