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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.