StoufferZTransform: Calculates a combined p-value using the weighted Z-method
In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates
Description
Usage
Arguments
Value
References
Examples
Description
Combines a vector of one-sided p-values from independent tests into
a single combined two-sided p-value
Usage
1
Arguments
ps
A vector of independent one-sided p-values to be
combined. Note that these p-values must be one-sided to account
for the fact that different tests could suggest a difference from
the null in both directions, which should result in less overall
evidence against the null when combined.
Value
A two-sided combined p-value.
References
Whitlock, M.C. 2005. Combining probability from independent
tests: the weighted Z-method is superior to Fisher's approach.
J. evol. biol 18(5): 1368-1373.
Examples
1
2
ps <- c(.05, .007, .4, .2)
StoufferZTransform(ps)
esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.
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Description Usage Arguments Value References Examples
Description
Combines a vector of one-sided p-values from independent tests into a single combined two-sided p-value
Usage
1 |
Arguments
ps |
A vector of independent one-sided p-values to be combined. Note that these p-values must be one-sided to account for the fact that different tests could suggest a difference from the null in both directions, which should result in less overall evidence against the null when combined. |
Value
A two-sided combined p-value.
References
Whitlock, M.C. 2005. Combining probability from independent tests: the weighted Z-method is superior to Fisher's approach. J. evol. biol 18(5): 1368-1373.
Examples
1 2 | ps <- c(.05, .007, .4, .2)
StoufferZTransform(ps)
|
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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