Description Usage Arguments Value Note Author(s) References See Also Examples
Displays the proportion of wearing over time among the daily profiles.
1 | wear.time.plot(PA, label, flag, mark.missing = 0)
|
PA |
an N by T matrix including activity counts, where N is the total number of daily profiles, and T is the total minutes of a day (T=1440). |
label |
an N by 2 matrix including the labels corresponding to |
flag |
an N by T matrix with the values of either 1 or 0 which indicating wearing or missing. This matrix can be created from |
mark.missing |
If |
Plot with the proportion of wearing in y-axis and the time index in x-axis, also displaying the standard measurement day.
By looking at the plot, we may decide the standard measurement day, which is the time range that exhibits the sufficiently large portion of wearing (60 or 70 percent).
Jung Ae Lee <jungaeleeb@gmail.com>
[1] Lee JA, Gill J (2016). Missing value imputation for physical activity data measured by accelerometer. Statistical Methods in Medical Research.
[2] Catellier, D. J., Hannan, P. J., Murray, D. M., Addy, C. L., Conway, T. L., Yang, S., and Rice, J. C. (2005). Imputation of missing data when measuring physical activity by accelerometry. Medicine and Science in Sports and Exercise, 37(11 Suppl).
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