The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Runs the documented examples for
find_max_after_hours().
example(find_max_after_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 maximum glucose in next 2 hours
#> fnd___> max_after <- find_max_after_hours(example_data_5_subject, start_points, hours = 2)
#>
#> fnd___> print(paste("Found", length(max_after$max_indices), "maximum points"))
#> [1] "Found 1 maximum points"
#>
#> fnd___> # Find maximum glucose in next 1 hour
#> fnd___> max_after_1h <- find_max_after_hours(example_data_5_subject, start_points, hours = 1)
#>
#> fnd___> # Analysis on larger dataset
#> fnd___> large_start_indices <- seq(1, nrow(example_data_hall), by = 200)
#>
#> fnd___> large_start_points <- data.frame(start_indices = large_start_indices)
#>
#> fnd___> large_max_after <- find_max_after_hours(example_data_hall, large_start_points, hours = 2)
#>
#> fnd___> print(paste("Found", length(large_max_after$max_indices), "maximum points in larger dataset"))
#> [1] "Found 1 maximum 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.