clean_my_p: Use the distribution of control genes' p-values to adjust all...
In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression
Description
Usage
Arguments
Author(s)
Description
This function will transform all p-values by the empirical cdf of
the p-values for the control genes. This will result in the
p-values of the control genes being uniformly distributed about 0
and 1.
Usage
1
clean_my_p(pvalues, ctl)
Arguments
pvalues
A vector of numbers between 0 and 1. The pvalues.
ctl
A vector of logicals of the same length of
pvalues. A TRUE indicates that a p-value is from
a control gene and so should be uniformly distributed.
Author(s)
David Gerard
dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.
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Description Usage Arguments Author(s)
Description
This function will transform all p-values by the empirical cdf of the p-values for the control genes. This will result in the p-values of the control genes being uniformly distributed about 0 and 1.
Usage
1 | clean_my_p(pvalues, ctl)
|
Arguments
pvalues |
A vector of numbers between 0 and 1. The pvalues. |
ctl |
A vector of logicals of the same length of
|
Author(s)
David Gerard
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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