mctq (version 0.3.2)

napd: Compute MCTQ nap duration (only for MCTQ\(^{Shift}\))

Description

napd() computes the nap duration for the shift version of the Munich ChronoType Questionnaire (MCTQ).

Usage

napd(napo, nape)

Value

A Duration object corresponding to the vectorized difference between nape and napo in a circular time frame of 24 hours.

Arguments

napo

An hms object corresponding to the local time of nap onset from the shift version of the MCTQ questionnaire.

nape

An hms object corresponding to the local time of nap end from the shift version of the MCTQ questionnaire.

Guidelines

Juda, Vetter & Roenneberg (2013) and The Worldwide Experimental Platform (n.d.) guidelines for napd() (\(NapD\)) computation are as follows.

Notes

• This computation must be applied to each section of the questionnaire.

• If you are visualizing this documentation in plain text, you may have some trouble understanding the equations. You can see this documentation on the package website.

Computation

$$NapD_{W/F}^{M/E/N} = NapE_{W/F}^{M/E/N} - NapO_{W/F}^{M/E/N}$$

Where:

• \(NapD_{W/F}^{M/E/N}\) = Nap duration between two days in a particular shift or between two free days after a particular shift ("I take a nap from ___ o'clock [...]").

• \(NapO_{W/F}^{M/E/N}\) = Local time of nap onset between two days in a particular shift or between two free days after a particular shift ("I take a nap from ___ o'clock [...]").

• \(NapE_{W/F}^{M/E/N}\) = Local time of nap end between two days in a particular shift or between two free days after a particular shift ("[...] to ___ o'clock").

* \(W\) = Workdays; \(F\) = Work-free days, \(M\) = Morning shift; \(E\) = Evening shift; \(N\) = Night shift.

Details

Standard MCTQ functions were created following the guidelines in Roenneberg, Wirz-Justice, & Merrow (2003), Roenneberg, Allebrandt, Merrow, & Vetter (2012), and from The Worldwide Experimental Platform (theWeP, n.d.).

\(\mu\)MCTQ functions were created following the guidelines in Ghotbi et al. (2020), in addition to the guidelines used for the standard MCTQ.

MCTQ\(^{Shift}\) functions were created following the guidelines in Juda, Vetter, & Roenneberg (2013), in addition to the guidelines used for the standard MCTQ.

See the References section to learn more.

Class requirements

The mctq package works with a set of object classes specially created to hold time values. These classes can be found in the lubridate and hms packages. Please refer to those package documentations to learn more about them.

Rounding and fractional time

Some operations may produce an output with fractional time (e.g., "19538.3828571429s (~5.43 hours)", 01:15:44.505). If you want, you can round it with round_time().

Our recommendation is to avoid rounding, but, if you do, make sure that you only round your values after all computations are done. That way you avoid round-off errors.

References

Ghotbi, N., Pilz, L. K., Winnebeck, E. C., Vetter, C., Zerbini, G., Lenssen, D., Frighetto, G., Salamanca, M., Costa, R., Montagnese, S., & Roenneberg, T. (2020). The \(\mu\)MCTQ: an ultra-short version of the Munich ChronoType Questionnaire. Journal of Biological Rhythms, 35(1), 98-110. tools:::Rd_expr_doi("10.1177/0748730419886986")

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

Roenneberg T., Allebrandt K. V., Merrow M., & Vetter C. (2012). Social jetlag and obesity. Current Biology, 22(10), 939-43. tools:::Rd_expr_doi("10.1016/j.cub.2012.03.038")

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. tools:::Rd_expr_doi("10.1177/0748730402239679")

The Worldwide Experimental Platform (n.d.). MCTQ. https://www.thewep.org/documentations/mctq/

See Also

Other MCTQ functions: fd(), gu(), le_week(), msf_sc(), msl(), sd24(), sd_overall(), sd_week(), sdu(), sjl_sc(), sjl_weighted(), sjl(), so(), tbt()

Examples

## Scalar example

napo <- hms::parse_hm("12:30")
nape <- hms::parse_hm("14:20")
napd(napo, nape)
#> [1] "6600s (~1.83 hours)"" # Expected

napo <- hms::parse_hm("23:45")
nape <- hms::parse_hm("00:30")
napd(napo, nape)
#> [1] "2700s (~45 minutes)" # Expected

napo <- hms::parse_hm("10:20")
nape <- hms::as_hms(NA)
napd(napo, nape)
#> [1] NA # Expected

## Vector example

napo <- c(hms::parse_hm("01:25"), hms::parse_hm("23:50"))
nape <- c(hms::parse_hm("03:10"), hms::parse_hm("01:10"))
napd(napo, nape)
#> [1] "6300s (~1.75 hours)" "4800s (~1.33 hours)"  # Expected