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Simulated uMotif Segment Dataset

Source: R/data.R
raw_motif_segment.Rd

`raw_motif_segment` contains a synthetic version of a uMotif-style “Segment” dataset for two simulated participants (`P01`, `P02`). Each participant contributes multiple uMotif timestamps, and for each timestamp, a set of Segment IDs and associated values is recorded.

Usage

raw_motif_segment

Format

A tibble with the following variables:

UserId

Character ID for the participant ("P01", "P02").

uMotifTime

Character timestamp in "YYYY-MM-DD HH:MM:SS" format.

SegmentId

Integer segment code: 1–10 for P01, 11–20 for P02.

Value

Integer value (1–5).

Details

Participants

* "P01" — uMotif timeline beginning at "2026-01-01 07:17:00" UTC with exactly **3 uMotif timestamps** over a 14‑day period.

* "P02" — uMotif timeline beginning at "2026-01-02 15:52:00" UTC with exactly **5 uMotif timestamps** over a 14‑day period.

Generation script

The dataset is produced using the reproducible script:


data-raw/simulate_raw_motif_segment.R

Examples

data(raw_motif_segment, package = "hypometrics")

# Inspect structure
dplyr::glimpse(raw_motif_segment)
#> Rows: 80
#> Columns: 4
#> $ UserId     <chr> "P01", "P01", "P01", "P01", "P01", "P01", "P01", "P01", "P0…
#> $ uMotifTime <chr> "2026-01-01 12:22:00", "2026-01-01 12:22:00", "2026-01-01 1…
#> $ SegmentId  <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1…
#> $ Value      <dbl> 1, 3, 5, 1, 2, 2, 2, 3, 3, 3, 5, 4, 4, 2, 1, 5, 4, 1, 5, 3,…

# Values for P01 at the hypoglycaemia-aligned timestamp
raw_motif_segment %>%
  dplyr::filter(UserId == "P01") %>%
  dplyr::filter(SegmentId == 1)
#> # A tibble: 3 × 4
#>   UserId uMotifTime          SegmentId Value
#>   <chr>  <chr>                   <int> <dbl>
#> 1 P01    2026-01-01 12:22:00         1     1
#> 2 P01    2026-01-08 07:17:00         1     5
#> 3 P01    2026-01-15 07:17:00         1     2

# Values for P02 at hypoglycaemia-aligned timestamps
raw_motif_segment %>%
  dplyr::filter(UserId == "P02", SegmentId == 11)
#> # A tibble: 5 × 4
#>   UserId uMotifTime          SegmentId Value
#>   <chr>  <chr>                   <int> <dbl>
#> 1 P02    2026-01-02 19:25:00        11     1
#> 2 P02    2026-01-02 19:30:00        11     1
#> 3 P02    2026-01-02 19:35:00        11     1
#> 4 P02    2026-01-13 03:52:00        11     2
#> 5 P02    2026-01-16 15:52:00        11     5