limmaPvalueBC: Bias Corrected Bootstrap p-value intervals for limma
In bramburger/colvano: Provide Intervals for Volcano Plots
Description
Calcualte BC bootstrap p-value intervals from the output of a limma eBayes output.
Usage
1
limmaPvalueBC(data, design, width, B, sampleSizeRatio = 1)
Arguments
data
The data which is the input to the limma lmFit function.
design
The design for the limma function, see the limma documentation.
width
Width of the required prediction interval.
B
Number of bootstraps to calculate the bootstrap intervals.
sampleSizeRatio
Ratio of sample sizes of replication and
original experiment. Calculated as sample size of replication
experiment divided by the sample size of the original
experiment. Default value is 1.
bramburger/colvano documentation built on Nov. 4, 2019, 8:12 a.m.
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Description
Calcualte BC bootstrap p-value intervals from the output of a limma eBayes output.
Usage
1 | limmaPvalueBC(data, design, width, B, sampleSizeRatio = 1)
|
Arguments
data |
The data which is the input to the limma lmFit function. |
design |
The design for the limma function, see the |
width |
Width of the required prediction interval. |
B |
Number of bootstraps to calculate the bootstrap intervals. |
sampleSizeRatio |
Ratio of sample sizes of replication and original experiment. Calculated as sample size of replication experiment divided by the sample size of the original experiment. Default value is 1. |
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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