`raw_sleep` provides a fully simulated set of sleep data for two synthetic participants (`P01` and `P02`). Each record represents a single night of sleep, with realistic bedtimes and wake times, unique nightly identifiers, and occasional missing nights to mirror imperfect real‑world device collection.
Format
A tibble with the following columns:
- id
Character participant ID:
"P01"or"P02".- logId
Unique 10‑digit numeric identifier for the sleep log.
- dateOfSleep
Character date (YYYY‑MM‑DD) representing the date of sleep.
- startTime
POSIXct datetime marking the start of the sleep period.
- endTime
POSIXct datetime marking the end of the sleep period.
Details
The dataset is intended solely for demonstration, examples, and testing within the `hypometrics` package.
Participants and date coverage
"P01"— first night:"2026‑01‑01""P02"— first night:"2026‑01‑02"
Each participant is simulated for **13 consecutive nights**, after which **2–3 randomly selected nights are removed completely** to mimic missing Fitbit‑style nights of sleep.
Generation script
The dataset is generated reproducibly from:
data-raw/simulate_raw_sleep.RExamples
data(raw_sleep, package = "hypometrics")
# View structure
dplyr::glimpse(raw_sleep)
#> Rows: 20
#> Columns: 9
#> $ id <chr> "P01", "P01", "P01", "P01", "P01", "P01", "P01", "P01", …
#> $ dateOfSleep <chr> "2026-01-01", "2026-01-02", "2026-01-03", "2026-01-04", …
#> $ logId <dbl> 1233452892, 5249981493, 5332094017, 5467075058, 20143725…
#> $ startTime <dttm> 2025-12-31 22:48:09, 2026-01-01 22:56:55, 2026-01-03 00…
#> $ endTime <dttm> 2026-01-01 07:39:11, 2026-01-02 09:12:50, 2026-01-03 06…
#> $ duration <dbl> 31860000, 36900000, 18180000, 15900000, 19320000, 246000…
#> $ timeInBed <dbl> 531, 615, 303, 265, 322, 410, 440, 357, 486, 474, 536, 3…
#> $ minutesAsleep <dbl> 377, 523, 244, 188, 274, 318, 388, 277, 389, 376, 415, 2…
#> $ minutesAwake <dbl> 154, 92, 59, 77, 48, 92, 52, 80, 97, 98, 121, 64, 55, 11…
# Sleep duration for the first few nights
raw_sleep %>%
dplyr::mutate(duration_hours =
as.numeric(difftime(endTime, startTime, units = "hours"))) %>%
head()
#> # A tibble: 6 × 10
#> id dateOfSleep logId startTime endTime duration
#> <chr> <chr> <dbl> <dttm> <dttm> <dbl>
#> 1 P01 2026-01-01 1233452892 2025-12-31 22:48:09 2026-01-01 07:39:11 31860000
#> 2 P01 2026-01-02 5249981493 2026-01-01 22:56:55 2026-01-02 09:12:50 36900000
#> 3 P01 2026-01-03 5332094017 2026-01-03 00:58:40 2026-01-03 06:02:19 18180000
#> 4 P01 2026-01-04 5467075058 2026-01-04 02:27:50 2026-01-04 06:53:22 15900000
#> 5 P01 2026-01-05 2014372548 2026-01-05 02:47:08 2026-01-05 08:09:16 19320000
#> 6 P01 2026-01-09 1290069097 2026-01-08 23:21:35 2026-01-09 06:12:06 24600000
#> # ℹ 4 more variables: timeInBed <dbl>, minutesAsleep <dbl>, minutesAwake <dbl>,
#> # duration_hours <dbl>