View source: R/benchmark_event.R
benchmark_event | R Documentation |
Compare Probability of an Event with Benchmark
benchmark_event( data, column, benchmark, event, count, total, event_type = "", remove_missing = TRUE, notes = "minimal", input = "long", output = "console" )
data |
dataset |
column |
name of column |
benchmark |
benchmark |
event |
specify event as given in column (example: 0, "pass", "success") |
count |
number of times event has occurred. Use only when using input = "values" |
total |
total number of all events. Use only when using input = "values" |
event_type |
Optional: a string describing the type of event. For example, success, failure, etc. |
remove_missing |
TRUE/FALSE (Default is TRUE) |
notes |
whether output should contain minimal or technical type of notes. Defaults to "minimal". Use "none" to turn off. |
input |
Default: "long" - long form of data, "values" to pass values directly. If using this option, must specify count and total. |
output |
Default: "console" - prints output in console and returns tibble invisibly. |
Dataframe of results when saved to an object. Show console output by default
data <- data.frame(task_1 = c("y", "y", "y", "y", "n", "n", "n", NA, NA, NA, NA, NA, NA, NA), task_2 = c(0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1)) # With dataframe columns benchmark_event(data, column = task_1, benchmark = 0.8, event = "y") benchmark_event(data, column = task_2, benchmark = 0.3, event = 1, event_type = "success") # Also pipeable data |> benchmark_event(column = task_2, benchmark = 0.3, event = 1, event_type = "success") # With direct values benchmark_event(benchmark = 0.8, count = 4, total = 7, input = "values")
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