volcano(matestobj, threshold=c(0.001,0.05), method=c("unadj","unadj"), title="Volcano Plot", highlight.flag=TRUE, onScreen=TRUE)
matest
.Default value is c("unadj", "unadj") which means to use tabulated P values for all tests.
Note that you need to put three values here even if you don't have all three F tests in matestobj.
On the plot, blue dots are the genes selected by the F1 test. The y-axis value is -log10(P-value) for the F1 test and x-axis value is proportional to the fold changes. A horizontal line represents the significance threshold of the F1 test. The red dots are the genes selected by the Fs test (if there's Fs test result). If there is flag information in the data and the user wants to highlight the flagged genes, the genes with any bad spots will be circled by a black circle.
## Not run:
# data(abf1)
# fit.full.mix <- fitmaanova(abf1, formula = ~Strain+Sample,
# random = ~Sample)
# ftest.all = matest(abf1, fit.full.mix, test.method=c(1,1),
# shuffle.method="sample", term="Strain", n.perm= 100)
# volcano(ftest.all)
# ## End(Not run)
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