p_value: Compute Two-sided p-Values under the Normal Distribution
In ryan-heslin/RegLesson: Linear Regression from Scratch
p_value R Documentation
Compute Two-sided p-Values under the Normal Distribution
Description
Compute Two-sided p-Values under the Normal Distribution
Usage
p_value(x, deg_free)
Arguments
x
A numeric vector
deg_free
Degrees of freedom under the null hypothesis distribution
Details
This convenience function computes the probabilities of a vector of values under the distribution assumed by the null hypothesis. I am legally obliged to note this is not remotely the same thing as the probability of a genuine effect.
Value
Vector of computed p-values
ryan-heslin/RegLesson documentation built on Aug. 5, 2022, 9:03 p.m.
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| p_value | R Documentation |
Compute Two-sided p-Values under the Normal Distribution
Description
Compute Two-sided p-Values under the Normal Distribution
Usage
p_value(x, deg_free)
Arguments
x |
A numeric vector |
deg_free |
Degrees of freedom under the null hypothesis distribution |
Details
This convenience function computes the probabilities of a vector of values under the distribution assumed by the null hypothesis. I am legally obliged to note this is not remotely the same thing as the probability of a genuine effect.
Value
Vector of computed p-values
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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