test_segregation: test_segregation
In onemap: Construction of Genetic Maps in Experimental Crosses
View source: R/test_segregation.R
test_segregation R Documentation
test_segregation
Description
Using OneMap internal function test_segregation_of_a_marker(),
performs the Chi-square test to check if all markers in a dataset are following
the expected segregation pattern, i. e., 1:1:1:1 (A), 1:2:1 (B), 3:1 (C) and 1:1 (D)
according to OneMap's notation.
Usage
test_segregation(x, simulate.p.value = FALSE)
Arguments
x
an object of class onemap, with data and additional information.
simulate.p.value
a logical indicating whether to compute p-values by Monte Carlo simulation.
Details
First, it identifies the correct segregation pattern and corresponding H0 hypothesis,
and then tests it.
Value
an object of class onemap_segreg_test, which is a list with marker name,
H0 hypothesis being tested, the chi-square statistics, the associated p-values
and the % of individuals genotyped. To see the object, it is necessary to print
it.
Examples
data(onemap_example_out) # Loads a fake outcross dataset installed with onemap
Chi <- test_segregation(onemap_example_out) # Performs the chi-square test for all markers
print(Chi) # Shows the results
onemap documentation built on Nov. 26, 2022, 9:05 a.m.
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View source: R/test_segregation.R
| test_segregation | R Documentation |
test_segregation
Description
Using OneMap internal function test_segregation_of_a_marker(), performs the Chi-square test to check if all markers in a dataset are following the expected segregation pattern, i. e., 1:1:1:1 (A), 1:2:1 (B), 3:1 (C) and 1:1 (D) according to OneMap's notation.
Usage
test_segregation(x, simulate.p.value = FALSE)
Arguments
x |
an object of class |
simulate.p.value |
a logical indicating whether to compute p-values by Monte Carlo simulation. |
Details
First, it identifies the correct segregation pattern and corresponding H0 hypothesis, and then tests it.
Value
an object of class onemap_segreg_test, which is a list with marker name, H0 hypothesis being tested, the chi-square statistics, the associated p-values and the % of individuals genotyped. To see the object, it is necessary to print it.
Examples
data(onemap_example_out) # Loads a fake outcross dataset installed with onemap Chi <- test_segregation(onemap_example_out) # Performs the chi-square test for all markers print(Chi) # Shows the results
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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