tdecision.multiComp: Get the test decision based on FDR procedure or Bonferroni...
In warnes/exp.ssize: Estimate Effectivenes of Microarry Sample Size Estimation via Simulation
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Get the test decision based on FDR procedure or Bonferroni adjustment for a matrix of p-values
Usage
1
2
tdecision.FDR(tp, sig.level)
tdecision.Bonf(tp, sig.level)
Arguments
tp
a matrix matrix of p-values from t test
sig.level
type I error to control for multiple tests
Value
returns a logical matrix for t-test decision based on corresponding p values
Author(s)
Peng Liu peng_liu@groton.pfizer.com
Examples
1
2
3
tp <- matrix(runif(10,0,1), nr = 5, nc = 2)
decision <- tdecision.FDR(tp, sig.level = 0.05)
decision <- tdecision.Bonf(tp, sig.level = 0.05)
warnes/exp.ssize documentation built on May 4, 2019, 12:59 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Get the test decision based on FDR procedure or Bonferroni adjustment for a matrix of p-values
Usage
1 2 | tdecision.FDR(tp, sig.level)
tdecision.Bonf(tp, sig.level)
|
Arguments
tp |
a matrix matrix of p-values from t test |
sig.level |
type I error to control for multiple tests |
Value
returns a logical matrix for t-test decision based on corresponding p values
Author(s)
Peng Liu peng_liu@groton.pfizer.com
Examples
1 2 3 | tp <- matrix(runif(10,0,1), nr = 5, nc = 2)
decision <- tdecision.FDR(tp, sig.level = 0.05)
decision <- tdecision.Bonf(tp, sig.level = 0.05)
|
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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