statistitian_time {coda.base}R Documentation

A statistician’s time budget


Time budgets –how a day or a period of work is divided up into different activities have become a popular source of data in psychology and sociology. To illustrate such problems we consider six daily activities undertaken by an academic statistician: teaching (T); consultation (C); administration (A); research (R); other wakeful activities (O); and sleep (S).

The 'statistician_time' data set records the daily time (in hours) devoted to each activity, recorded on each of 20 days, selected randomly from working days in alternate weeks so as to avoid possible carry-over effects such as a short-sleep day being compensated by make-up sleep on the succeeding day. The six activities may be divided into two categories: 'work' comprising activities T, C, A, and R, and 'leisure', comprising activities O and S. Our analysis may then be directed towards the work pattern consisting of the relative times spent in the four work activities, the leisure pattern, and the division of the day into work time and leisure time. Two obvious questions are as follows. To what extent, if any, do the patterns of work and of leisure depend on the times allocated to these major divisions of the day? Is the ratio of sleep to other wakeful activities dependent on the times spent in the various work activities?




An object of class data.frame with 20 rows and 7 columns.

[Package coda.base version 0.5.5 Index]