p_adjust: P-value Adjustments by Methods
In UBC-MDS/ptoolkit: A toolkit for adjusting and visualizing p-values coming from multiple tests
Description
Usage
Arguments
Details
Description
This function outputs a dataframe with the original p-values and their adjustments by the specified method.
Usage
1
Arguments
data
(dataframe) dataframe containing at least a column of p-values to be adjusted
pv_index
(numeric) if the input is a dataframe, col refers to the column name of the dataframe that has the p-values
method
(string) method used for the adjustment ("bh" or "bonf")
alpha
(numeric) significance level for both methods
Details
Requirements: Dplyr
UBC-MDS/ptoolkit documentation built on May 25, 2019, 1:36 p.m.
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Description Usage Arguments Details
Description
This function outputs a dataframe with the original p-values and their adjustments by the specified method.
Usage
1 |
Arguments
data |
(dataframe) dataframe containing at least a column of p-values to be adjusted |
pv_index |
(numeric) if the input is a dataframe, col refers to the column name of the dataframe that has the p-values |
method |
(string) method used for the adjustment ("bh" or "bonf") |
alpha |
(numeric) significance level for both methods |
Details
Requirements: Dplyr
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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