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Your decision tree may be cool, but what if I tell you you can make it hot?
The first argument of heat_tree(), data is
now replaced with x, which can be a dataframe (or tibble),
a party (or constparty) object specifying the precomputed tree, or
partynode object specifying the customized tree.
custom_tree argument is no longer needed.
Please make sure your version of R >= 3.5.0 before installation.
You can install the released version of treeheatr from CRAN with:
install.packages('treeheatr')Or the development version from GitHub with remotes:
# install.packages('remotes') # uncomment to install devtools
remotes::install_github('trangdata/treeheatr')These data were collected and made available by Dr. Kristen Gorman and the Palmer Station, Antarctica LTER.
Classification of different types of penguin species.
library(treeheatr)
heat_tree(penguins, target_lab = 'species')
Classification of different cultivars of wine.
heat_tree(wine, target_lab = 'Type', target_lab_disp = 'Cultivar')## Warning in (function (mapping = NULL, nudge_x = 0, nudge_y = 0, ids = NULL, :
## Ignoring unknown parameters: `label.size`
If you use treeheatr in a scientific publication, please consider citing the following paper:
Le TT, Moore JH. treeheatr: an R package for interpretable decision tree visualizations. Bioinformatics. 2020 Jan 1.
BibTeX entry:
@article{le2020treeheatr,
title={treeheatr: an R package for interpretable decision tree visualizations},
author={Le, Trang T and Moore, Jason H},
journal={Bioinformatics},
year={2020},
doi="10.1093/bioinformatics/btaa662"
}treeheatr incorporates a heatmap at the terminal node of your decision tree. The basic building blocks to a treeheatr plot are (yes, you guessed it!) a decision tree and a heatmap.
The decision tree is computed with partykit::ctree()
and plotted with the well-documented and flexible ggparty
package. The tree parameters can be passed to ggparty
functions via the heat_tree() and draw_tree()
functions of treeheatr. More details on different
ggparty geoms can be found here.
The heatmap is shown with ggplot2::geom_tile(). The
user may choose to cluster the samples within each leaf node or the
features across all samples.
Make sure to check out the vignette for detailed information on the usage of treeheatr.
Please open an issue for questions related to treeheatr usage, bug reports or general inquiries.
Thank you very much for your support!
Package hex was made with Midjourney and thus inherits a CC BY-NC 4.0 license.
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.