rounding.risk.s.thresholds: Compute thresholds for the significant s of the reported...
In skranz/RoundingMatters: Tools for adjusting for rounding problems in metastudies about p-hacking and publication bias
Description
Usage
Arguments
Value
Description
Compute thresholds for the significant s of the
reported standard deviation such that we can rule-out
the errors: misclassification, wrong inclusion, wrong exclusion
Usage
1
rounding.risk.s.thresholds(z, z0 = z0, h = 0.2)
Arguments
z
a vector of z statistics
z0
significance threshold. Can be a single number or a vector of length z
h
half-width of considered window around z0
Value
A data frame with the columns "z", "s.misclass", "s.include", "s.exclude" specifying for each z value the corresponding thresholds.
skranz/RoundingMatters documentation built on Dec. 23, 2021, 3:23 a.m.
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Description Usage Arguments Value
Description
Compute thresholds for the significant s of the reported standard deviation such that we can rule-out the errors: misclassification, wrong inclusion, wrong exclusion
Usage
1 | rounding.risk.s.thresholds(z, z0 = z0, h = 0.2)
|
Arguments
z |
a vector of z statistics |
z0 |
significance threshold. Can be a single number or a vector of length z |
h |
half-width of considered window around z0 |
Value
A data frame with the columns "z", "s.misclass", "s.include", "s.exclude" specifying for each z value the corresponding thresholds.
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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