wilcoxon: Compute the standardized Wilcoxon test statistic for two...
In bnaras/ASSISTant: Adaptive Subgroup Selection in Group Sequential Trials
Description
Usage
Arguments
Details
Value
Description
We compute the standardized Wilcoxon test statistic with mean 0 and
and standard deviation 1 for samples x and y. The R function
stats::wilcox.test() returns the statistic
Usage
1
wilcoxon(x, y, theta = 0)
Arguments
x
a sample numeric vector
y
a sample numeric vector
theta
a value > 0 but < 1/2.
Details
U = (sum over i) R_i - m(m + 1) / 2
where R_i are the ranks of the first sample x of size
m. We compute
(U - mn(1/2 + theta)) / (mn(m + n + 1) / 12)^(1/2)
where θ is the alternative hypothesis shift on the
probability scale, i.e. P(X > Y) = 1/2 + θ.
Value
the standardized Wilcoxon statistic
bnaras/ASSISTant documentation built on Nov. 23, 2019, 6:20 p.m.
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Description Usage Arguments Details Value
Description
We compute the standardized Wilcoxon test statistic with mean 0 and
and standard deviation 1 for samples x and y. The R function
stats::wilcox.test() returns the statistic
Usage
1 | wilcoxon(x, y, theta = 0)
|
Arguments
x |
a sample numeric vector |
y |
a sample numeric vector |
theta |
a value > 0 but < 1/2. |
Details
U = (sum over i) R_i - m(m + 1) / 2
where R_i are the ranks of the first sample x of size m. We compute
(U - mn(1/2 + theta)) / (mn(m + n + 1) / 12)^(1/2)
where θ is the alternative hypothesis shift on the probability scale, i.e. P(X > Y) = 1/2 + θ.
Value
the standardized Wilcoxon statistic
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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