Description Usage Arguments Value
View source: R/summarize.tt.cutoffs.R
Get counts from a limma analysis of how many features pass statistical significance and effect-size relevance
1 2 | summarize.tt.cutoffs(tt, pval.thresh, beta.thresh = c(0.05, 0.1, 0.2, 0.3,
0.4, 0.5))
|
tt |
A top-table output from |
pval.thresh |
Numerical vector of p-values in (0,1) |
beta.thresh |
Numerical vector of contrast (effect) sizes |
Matrix of integers for each contrast and p-value pair, how many features have a lower p-value and contrast of greater magnitude
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