fdrAdjust: FDR (False Discovery Rate) Adjustment
In frankchien/bmi585flc: BMI 585 Final- Biostatistical Functions.
Description
Usage
Arguments
Details
Value
Examples
Description
Tests for significance using fdr adjustment for multiple hypothesis testing
Usage
1
fdrAdjust(p)
Arguments
p
a numeric vector of p values
Details
Tests to see if p-values remain significant at p < 0.05 using fdr adjustment for multiple-hypothesis testing
Value
logical vector, true if p values remain significant after bonferroni correction
Examples
1
2
frankchien/bmi585flc documentation built on Dec. 20, 2021, 8:51 a.m.
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Description Usage Arguments Details Value Examples
Description
Tests for significance using fdr adjustment for multiple hypothesis testing
Usage
1 | fdrAdjust(p)
|
Arguments
p |
a numeric vector of p values |
Details
Tests to see if p-values remain significant at p < 0.05 using fdr adjustment for multiple-hypothesis testing
Value
logical vector, true if p values remain significant after bonferroni correction
Examples
1 2 |
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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