t.decision.Bonf: Accept or reject hypotheses at specified alpha level for a...
In warnes/exp.ssize: Estimate Effectivenes of Microarry Sample Size Estimation via Simulation
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Accept or reject hypotheses at specified
alpha level for a vector of p-values
Usage
1
2
t.decision.Bonf(tp, sig.level)
t.decision.FDR(tp, sig.level)
Arguments
tp
1 column matrix of p-values
sig.level
Significance level (alpha)
Value
Vector of logicals indicating whether the hypothsis was rejected
(TRUE) or accepted (FALSE).
Author(s)
Peng Liu peng\_liu@groton.pfizer.com
Examples
1
2
3
4
p <- matrix(seq(0,0.01,by=0.001),ncol=1)
bonf <- t.decision.Bonf(p, 0.05)
fdr <- t.decision.FDR(p, 0.05)
data.frame("P-value"=p,"Bonferonni Reject"=bonf, "FDR Reject"=fdr)
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
Accept or reject hypotheses at specified alpha level for a vector of p-values
Usage
1 2 | t.decision.Bonf(tp, sig.level)
t.decision.FDR(tp, sig.level)
|
Arguments
tp |
1 column matrix of p-values |
sig.level |
Significance level (alpha) |
Value
Vector of logicals indicating whether the hypothsis was rejected (TRUE) or accepted (FALSE).
Author(s)
Peng Liu peng\_liu@groton.pfizer.com
Examples
1 2 3 4 | p <- matrix(seq(0,0.01,by=0.001),ncol=1)
bonf <- t.decision.Bonf(p, 0.05)
fdr <- t.decision.FDR(p, 0.05)
data.frame("P-value"=p,"Bonferonni Reject"=bonf, "FDR Reject"=fdr)
|
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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