Determine whether there is a significant difference between the attribute means of two sub regions.
Usage
risk_detector(y, x, alpha = 0.95)
Arguments
- y
Variable Y, continuous numeric vector.
- x
Covariate X, factor, character or discrete numeric.
- alpha
(optional) Confidence level of the interval,default is 0.95.
Value
A tibble. contains different combinations of covariate X level and student t-test statistics,
degrees of freedom, p-values, and whether has risk (Yes or No).
Examples
risk_detector(y = 1:7,
x = c('x',rep('y',3),rep('z',3)))
#> # A tibble: 3 × 6
#> zone1st zone2nd `T-statistic` `Degree-freedom` `P-value` Risk
#> <chr> <chr> <dbl> <dbl> <dbl> <fct>
#> 1 zonex zoney 0 0 1 No
#> 2 zonex zonez 0 0 1 No
#> 3 zoney zonez -3.67 4 0.0213 Yes
