bh_correction: Benjamini-Hochberg correction for p-value significance
In dwassarman/cellpanelr: Analyze Data from Cell Line Panels
View source: R/fct_cor_expression.R
bh_correction R Documentation
Benjamini-Hochberg correction for p-value significance
Description
Determine significance of p-values after repeated hypothesis testing using the
Benjamini-Hochberg correction.
Usage
bh_correction(x, fdr)
Arguments
x
vector of p-values. MUST be ordered from smallest to largest!
fdr
False discovery rate. Must be between 0 and 1.
Value
Logical vector of same length as x indicating whether the
given p-values were sufficient to reject the null hypothesis with the
given false discovery rate.
dwassarman/cellpanelr documentation built on Jan. 3, 2023, 8:27 a.m.
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View source: R/fct_cor_expression.R
| bh_correction | R Documentation |
Benjamini-Hochberg correction for p-value significance
Description
Determine significance of p-values after repeated hypothesis testing using the Benjamini-Hochberg correction.
Usage
bh_correction(x, fdr)
Arguments
x |
vector of p-values. MUST be ordered from smallest to largest! |
fdr |
False discovery rate. Must be between 0 and 1. |
Value
Logical vector of same length as x indicating whether the
given p-values were sufficient to reject the null hypothesis with the
given false discovery rate.
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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