Bonferroni_alpha: Calculates individual significance level to be used to...
In onemap: Construction of Genetic Maps in Experimental Crosses
View source: R/test_segregation.R
Bonferroni_alpha 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
onemap documentation built on Nov. 26, 2022, 9:05 a.m.
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View source: R/test_segregation.R
| Bonferroni_alpha | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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