summary.qvalue | R Documentation |
Display summary information for a q-value object.
## S3 method for class 'qvalue'
summary(object, cuts = c(1e-04, 0.001, 0.01, 0.025, 0.05,
0.1, 1), digits = getOption("digits"), ...)
object |
A q-value object. |
cuts |
Vector of significance values to use for table (optional). |
digits |
Significant digits to display (optional). |
... |
Additional arguments; currently unused. |
summary
shows the original call, estimated proportion of
true null hypotheses, and a table comparing the number of significant calls
for the p-values, estimated q-values, and estimated local FDR values using a set of
cutoffs given by cuts
.
Invisibly returns the original object.
John D. Storey, Andrew J. Bass, Alan Dabney
Storey JD. (2002) A direct approach to false discovery rates. Journal
of the Royal Statistical Society, Series B, 64: 479-498.
http://onlinelibrary.wiley.com/doi/10.1111/1467-9868.00346/abstract
Storey JD and Tibshirani R. (2003) Statistical significance for
genome-wide experiments. Proceedings of the National Academy of Sciences,
100: 9440-9445.
http://www.pnas.org/content/100/16/9440.full
Storey JD. (2003) The positive false discovery rate: A Bayesian
interpretation and the q-value. Annals of Statistics, 31: 2013-2035.
http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aos/1074290335
Storey JD, Taylor JE, and Siegmund D. (2004) Strong control,
conservative point estimation, and simultaneous conservative
consistency of false discovery rates: A unified approach. Journal of
the Royal Statistical Society, Series B, 66: 187-205.
http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2004.00439.x/abstract
Storey JD. (2011) False discovery rates. In International Encyclopedia of Statistical Science.
http://genomine.org/papers/Storey_FDR_2011.pdf
http://www.springer.com/statistics/book/978-3-642-04897-5
qvalue
, plot.qvalue
, write.qvalue
# import data
data(hedenfalk)
p <- hedenfalk$p
# get summary results from q-value object
qobj <- qvalue(p)
summary(qobj, cuts=c(0.01, 0.05))
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