gosummaries
object and then use its plot function on it. One can start
constructing the gosummaries
object from gene lists, with filling in all
the necessary information step by step. However, there are some convenience functions
for different classes of common analysis results. See gosummaries.kmeans
,
gosummaries.MArrayLM
and gosummaries.prcomp
corresponding
to k-means, limma and PCA results.The plot.gosummaries
describes how to customize the plots.
The word cloud drawing function plotWordcloud
in this package is
implemented largely based on the code from package wordcloud
, but with slight
tweaks: it uses grid
graphics, has some additional layout options, has more
intelligent options to scale the text sizes to fit the picture and, finally, should be
a bit faster since larger part of the algorithm was implemeted in C++.