makeImages(df, eset, grp.factor, design, contrast, colind, boxplot = FALSE,
repdir = "./reports", extraname = NULL, weights = NULL,
insert.after = 3, ...)
topTable
. Note that the row.names for this data.frame must
be consistent with the "eset" object. In other words, if "eset" is an ExpressionSet
, then the row.names
of the data.frame must consistent with the featureNames of the ExpressionSet
.ExpressionSet
. If using RNA-Seq data, use voom
from edgeR to create
an EList
object, and then pass in the "E" list item.TRUE
, the output HTML table will have a boxplot showing differences between groups. If
FALSE
(default), the table will have dotplots.arrayWeights
in the limma package. These will affect the size
of the plotting symbols, to reflect the relative importance of each sample.This function is very similar to the stock functions in the ReportingTools package, but the standard glyphs for that package consist of a dotplot on top of a boxplot, which seems too busy to me. In addition, for most microarray analyses there are not enough replicates to make a boxplot useful.