Description Usage Arguments Value Examples
Creates an MA plot from the differential heterogeneity data calculated from the diffHet() function. For each loci, graphs the average of both group means on the x-axis and the heterogeneity difference on the y-axis. Graphs coordinates with significant adjusted p-values in red.
1 |
pval.matrix |
The data frame returned from the diffHet() function that contains means, p-values, adjusted p-values, and heterogeneity difference |
padjust.cutoff |
The adjusted p-value cutoff to confirm a significant value. (default: 0.05) |
pch |
The plotting character to be used in the MA plot (default: '.') |
sve |
A boolean to save the plot (default: FALSE) |
pointsize |
A numeric value to adjust point size (default: 1.5) |
A figure
1 2 3 4 5 6 7 8 9 10 11 12 | diff.het.matrix<-data.frame(chromosome=c(rep("1",10)),
loci=paste("loci",seq_len(10),sep="-"),subtype.mean=c(0.21,0.23,0.37,0.26,
0.29,0.31,0.29,0.13,0.12,0.093),Normal.mean=c(0.01,0.01,0.01,0.02,
0.02,0.01,0.01,0.79,0.73,0.79),het.dif=c(0.20,0.220,0.360,0.240,0.270,
0.300,0.280,-0.660,-0.610,-0.697),p.value=c(3.08e-03,1.43e-02,9.27e-03,
3.45e-02,2.99e-02,3.68e-02, 4.60e-02, 5.65e-10, 9.18e-10,
9.98e-11),p.adjust=c(8.84e-03,2.76e-02, 2.04e-02, 5.01e-02,
4.56e-02, 5.24e-02, 6.08e-02, 3.74e-08, 5.22e-08,
1.06e-08),type=rep("pdr",10))
epiMA(pval.matrix = diff.het.matrix, padjust.cutoff = 0.05,
pch = ".", sve = TRUE, pointsize = 1.5)
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