Bonferroni_alpha {onemap} | R Documentation |
Calculates individual significance level to be used to achieve a global alpha (with Bonferroni)
Description
It shows the alpha value to be used in each chi-square segregation test, in order to achieve a given global type I error. To do so, it uses Bonferroni's criteria.
Usage
Bonferroni_alpha(x, global.alpha = 0.05)
Arguments
x |
an object of class onemap_segreg_test |
global.alpha |
the global alpha that |
Value
the alpha value for each test (numeric)
Examples
data(onemap_example_bc) # Loads a fake backcross dataset installed with onemap
Chi <- test_segregation(onemap_example_bc) # Performs the chi-square test for all markers
print(Chi) # Shows the results of the Chi-square tests
Bonferroni_alpha (Chi) # Shows the individual alpha level to be used
[Package onemap version 3.0.0 Index]