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Runs the documented examples for
find_min_before_hours().
example(find_min_before_hours, package = "cgmguru", run.dontrun = FALSE)
#>
#> fnd___> # Load sample data
#> fnd___> library(iglu)
#>
#> fnd___> data(example_data_5_subject)
#>
#> fnd___> data(example_data_hall)
#>
#> fnd___> # Create start points for demonstration (using row indices)
#> fnd___> start_indices <- seq(1, nrow(example_data_5_subject), by = 100)
#>
#> fnd___> start_points <- data.frame(start_indices = start_indices)
#>
#> fnd___> # Find minimum glucose in previous 2 hours
#> fnd___> min_before <- find_min_before_hours(example_data_5_subject, start_points, hours = 2)
#>
#> fnd___> print(paste("Found", length(min_before$min_indices), "minimum points"))
#> [1] "Found 1 minimum points"
#>
#> fnd___> # Find minimum glucose in previous 1 hour
#> fnd___> min_before_1h <- find_min_before_hours(example_data_5_subject, start_points, hours = 1)
#>
#> fnd___> # Analysis on larger dataset
#> fnd___> large_start_indices <- seq(1, nrow(example_data_hall), by = 200)
#>
#> fnd___> large_start_points <- data.frame(start_indices = large_start_indices)
#>
#> fnd___> large_min_before <- find_min_before_hours(example_data_hall, large_start_points, hours = 2)
#>
#> fnd___> print(paste("Found", length(large_min_before$min_indices), "minimum points in larger dataset"))
#> [1] "Found 1 minimum points in larger dataset"These 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.