Description Usage Arguments Value Author(s) References See Also Examples
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.
1 | LD2sided.pvals(ctable)
|
ctable |
Vector of the 4 entries in the 2x2 contingency table |
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 |
Alex Lewin
Kulinskaya and Lewin 2008
1 2 | ctable <- c(0,9,5,16)
LD2sided.pvals(ctable)
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