bootstrap_freq.RdBootstrapping analysis of random occurence
bootstrap_freq(df, bin_toggle = 1)
| df | a `data.frame` that should include two columns with two groupings `class` (classification group that is held steady) and `testGrouping` (binned attribute that may explain class distribution) |
|---|---|
| bin_toggle | `numeric`, optional, determines which direction to run the bootstrapping: `1` tests the likelihood from random that the class occurs preferentially or not within a testGrouping, default, likely the value to use; `2` tests the opposite direction from `1` |
a list of 2: (1) The p-value of each class-testGrouping pair. If the value is less than 0.05, then the pair frequency is significantly different from random with a 95