Learn R Programming

LDtests (version 1.0)

LD2sided.pvals: P-values and Linkage Disequilibrium measures for several tests of Linkage Disequilibrium

Description

Calculates 2-sided LD tests based on different measures of LD (Kulinskaya and Lewin 2008), 1-sided Fisher's exact test for LD and the conditional p-values proposed in Kulinskaya (2008) to overcome the problems of asymetric distributions.

Usage

LD2sided.pvals(ctable)

Arguments

ctable
Vector of the 4 entries in the 2x2 contingency table

Value

pval.cond
Conditional p-value
pval.Fish
Fisher's p-value (sum of tables less probable than observed)
pval.LR
P-value based on the likelihood ratio statistic
pval.r
P-value based on the correlation coefficient
pval.Dprime
P-value based on D prime
pval.delta
P-value based on delta (Devlin and Risch)
pval.Q
P-value based on Yule's Q
Prob
Probability under the null hypothesis of the observed table
LR
Likelihood ratio statistic
r
Correlation coefficient
Dprime
D prime
delta
delta (Devlin and Risch)
Q
Yule's Q
yobs
The observed n11 (first cell in the table)
n1
Row margin
n2
Column margin
nn
Sample size

Details

References

Kulinskaya and Lewin 2008

See Also

LD2sided.tables

Examples

Run this code
ctable <- c(0,9,5,16)
LD2sided.pvals(ctable)

Run the code above in your browser using DataLab