folding.test.bound: Computes the confidence bound for the significance level p
In asiffer/Rfolding: The Folding Test of Unimodality
Description
Usage
Arguments
Value
Examples
Description
Computes the confidence bound for the significance level p
Usage
1
folding.test.bound(n, d, p)
Arguments
n
sample size
d
dimension
p
significance level (between 0 and 1, the lower, the more significant)
Value
the confidence bound q (the bounds are 1-q and 1+q)
Examples
1
2
3
4
n = 2000 # number of observations
d = 2 # 2 dimensional data
p = 0.05 # we want the bound at the level 0.05 (classical p-value)
q = folding.test.bound(n,d,p)
asiffer/Rfolding documentation built on May 6, 2019, 6:57 p.m.
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Description Usage Arguments Value Examples
Description
Computes the confidence bound for the significance level p
Usage
1 | folding.test.bound(n, d, p)
|
Arguments
n |
sample size |
d |
dimension |
p |
significance level (between 0 and 1, the lower, the more significant) |
Value
the confidence bound q (the bounds are 1-q and 1+q)
Examples
1 2 3 4 | n = 2000 # number of observations
d = 2 # 2 dimensional data
p = 0.05 # we want the bound at the level 0.05 (classical p-value)
q = folding.test.bound(n,d,p)
|
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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