slanter contains a set of functions for reordering data,
and generating hierarchical clustering for ordered data, for improved
visualization.
See the published R package, the rdocumentation, or the latest github version documentation for details. Specifically, the meristems vignette explains why and how to use this package.
To install it, use:
install.packages('slanter')In general, if your data is a similarity matrix (each entry is a
non-negative value that indicates how similar a pair of elements is to
each other, higher is better), then use slanter::sheatmap
as a drop-in replacement for pheatmap::pheatmap, and
enjoy.
The lower level function slanter::slanted_orders will
compute the visualization order and slanter::oclust will
compute hierarchical clustering that is consistent with this order. See
the published R
package, the rdocumentation,
or the latest github version documentation’s reference
section for the list and description of the available functions.