Skip to contents


random_mctq builds a fictional Munich ChronoType Questionnaire (MCTQ) case composed of MCTQ basic/measurable variables.

This function is for testing and learning purposes only. Please don't misuse it.


random_mctq(model = "standard")



A string indicating the data model to return. Valid values are: "standard", "shift", and "micro" (default: "standard").


A named list with elements representing each MCTQ basic/measurable variable of the model indicated in the model argument.


The case structure (variable names and classes) are the same as the datasets provided by the mctq package. See ?std_mctq, ?micro_mctq and ?shift_mctq to learn more.


This function requires the stats package. This won't be an issue for most people since the package comes with a standard R installation.

If you don't have the stats package, you can install it with install.packages("stats").


Random standard and micro MCTQ cases were created with the general population in mind. The data was set to resemble the distribution parameters shown in Roenneberg, Wirz-Justice, & Merrow (2003).

MCTQ\(^{Shift}\) random cases were created based on the shift configuration from "Study Site 1" shown in Vetter, Juda, & Roenneberg (2012). The data was set to resemble the distribution parameters shown in Juda, Vetter, & Roenneberg (2013).

You can see more about the distribution parameters used here.


Juda, M., Vetter, C., & Roenneberg, T. (2013). The Munich ChronoType Questionnaire for shift-workers (MCTQ\(^{Shift}\)). Journal of Biological Rhythms, 28(2), 130-140. doi:10.1177/0748730412475041 .

Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003). Life between clocks: daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18(1), 80-90. doi:10.1177/0748730402239679 .

Vetter, C., Juda, M., & Roenneberg, T. (2012). The influence of internal time, time awake, and sleep duration on cognitive performance in shiftworkers. Chronobiology International, 29(8), 1127-1138. doi:10.3109/07420528.2012.707999 .

See also


if (FALSE) {