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Runs the documented examples for
detect_hypoglycemic_events().
example(detect_hypoglycemic_events, package = "cgmguru", run.dontrun = FALSE)
#>
#> dtct__> # Load sample data
#> dtct__> library(iglu)
#>
#> dtct__> data(example_data_5_subject)
#>
#> dtct__> data(example_data_hall)
#>
#> dtct__> # Level 1: \eqn{<} 70 \eqn{\geq} 15 min,
#> dtct__> # ends \eqn{\geq} 70 \eqn{\geq} 15 min
#> dtct__> hypo_lv1 <- detect_hypoglycemic_events(
#> dtct__+ example_data_5_subject,
#> dtct__+ start_gl = 70,
#> dtct__+ dur_length = 15,
#> dtct__+ end_length = 15
#> dtct__+ )
#>
#> dtct__> print(hypo_lv1$events_total)
#> # A tibble: 5 × 3
#> id total_events avg_ep_per_day
#> <chr> <int> <dbl>
#> 1 Subject 1 1 0.08
#> 2 Subject 2 0 0
#> 3 Subject 3 1 0.17
#> 4 Subject 4 2 0.16
#> 5 Subject 5 1 0.09
#>
#> dtct__> # Level 2: \eqn{<} 54 \eqn{\geq} 15 min,
#> dtct__> # ends \eqn{\geq} 54 \eqn{\geq} 15 min
#> dtct__> hypo_lv2 <- detect_hypoglycemic_events(
#> dtct__+ example_data_5_subject,
#> dtct__+ start_gl = 54,
#> dtct__+ dur_length = 15,
#> dtct__+ end_length = 15
#> dtct__+ )
#>
#> dtct__> # Extended: \eqn{<} 70 \eqn{\geq} 120 min,
#> dtct__> # ends \eqn{\geq} 70 \eqn{\geq} 15 min
#> dtct__> hypo_extended <- detect_hypoglycemic_events(example_data_5_subject)
#>
#> dtct__> print(hypo_extended$events_total)
#> # A tibble: 5 × 3
#> id total_events avg_ep_per_day
#> <chr> <int> <dbl>
#> 1 Subject 1 0 0
#> 2 Subject 2 0 0
#> 3 Subject 3 0 0
#> 4 Subject 4 0 0
#> 5 Subject 5 0 0
#>
#> dtct__> # Compare event rates across levels
#> dtct__> cat("Level 1 events:", sum(hypo_lv1$events_total$total_events), "\n")
#> Level 1 events: 5
#>
#> dtct__> cat("Level 2 events:", sum(hypo_lv2$events_total$total_events), "\n")
#> Level 2 events: 0
#>
#> dtct__> cat("Extended events:", sum(hypo_extended$events_total$total_events), "\n")
#> Extended events: 0
#>
#> dtct__> # Analysis on larger dataset with Level 1 criteria
#> dtct__> large_hypo <- detect_hypoglycemic_events(example_data_hall,
#> dtct__+ start_gl = 70,
#> dtct__+ dur_length = 15,
#> dtct__+ end_length = 15)
#>
#> dtct__> print(large_hypo$events_total)
#> # A tibble: 19 × 3
#> id total_events avg_ep_per_day
#> <chr> <int> <dbl>
#> 1 1636-69-001 2 0
#> 2 1636-69-026 0 0
#> 3 1636-69-032 0 0
#> 4 1636-69-090 3 0.43
#> 5 1636-69-091 0 0
#> 6 1636-69-114 0 0
#> 7 1636-70-1005 2 0.25
#> 8 1636-70-1010 5 0.06
#> 9 2133-004 1 0.16
#> 10 2133-015 2 0.3
#> 11 2133-017 0 0
#> 12 2133-018 0 0
#> 13 2133-019 4 0.44
#> 14 2133-021 1 0.16
#> 15 2133-024 8 1.22
#> 16 2133-027 2 0.25
#> 17 2133-035 1 0.14
#> 18 2133-036 8 0.93
#> 19 2133-039 6 0.66
#>
#> dtct__> # Analysis on larger dataset with Level 2 criteria
#> dtct__> large_hypo_lv2 <- detect_hypoglycemic_events(example_data_hall,
#> dtct__+ start_gl = 54,
#> dtct__+ dur_length = 15,
#> dtct__+ end_length = 15)
#>
#> dtct__> print(large_hypo_lv2$events_total)
#> # A tibble: 19 × 3
#> id total_events avg_ep_per_day
#> <chr> <int> <dbl>
#> 1 1636-69-001 0 0
#> 2 1636-69-026 0 0
#> 3 1636-69-032 0 0
#> 4 1636-69-090 0 0
#> 5 1636-69-091 0 0
#> 6 1636-69-114 0 0
#> 7 1636-70-1005 1 0.12
#> 8 1636-70-1010 0 0
#> 9 2133-004 0 0
#> 10 2133-015 0 0
#> 11 2133-017 0 0
#> 12 2133-018 0 0
#> 13 2133-019 0 0
#> 14 2133-021 0 0
#> 15 2133-024 1 0.15
#> 16 2133-027 0 0
#> 17 2133-035 0 0
#> 18 2133-036 0 0
#> 19 2133-039 1 0.11
#>
#> dtct__> # Analysis on larger dataset with Extended criteria
#> dtct__> large_hypo_extended <- detect_hypoglycemic_events(example_data_hall)
#>
#> dtct__> print(large_hypo_extended$events_total)
#> # A tibble: 19 × 3
#> id total_events avg_ep_per_day
#> <chr> <int> <dbl>
#> 1 1636-69-001 0 0
#> 2 1636-69-026 0 0
#> 3 1636-69-032 0 0
#> 4 1636-69-090 0 0
#> 5 1636-69-091 0 0
#> 6 1636-69-114 0 0
#> 7 1636-70-1005 0 0
#> 8 1636-70-1010 1 0.01
#> 9 2133-004 0 0
#> 10 2133-015 0 0
#> 11 2133-017 0 0
#> 12 2133-018 0 0
#> 13 2133-019 0 0
#> 14 2133-021 0 0
#> 15 2133-024 0 0
#> 16 2133-027 1 0.12
#> 17 2133-035 0 0
#> 18 2133-036 1 0.12
#> 19 2133-039 0 0These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.