Package: treeheatr 0.2.3.9000

treeheatr: Heatmap-Integrated Decision Tree Visualizations

Creates interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. 'treeheatr' utilizes the customizable 'ggparty' package for drawing decision trees.

Authors:Trang Le [aut, cre], Jason Moore [aut], University of Pennsylvania [cph]

treeheatr_0.2.3.9000.tar.gz
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treeheatr_0.2.3.9000.tgz(r-4.6-any)treeheatr_0.2.3.9000.tgz(r-4.5-any)
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treeheatr_0.2.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
treeheatr/json (API)

# Install 'treeheatr' in R:

install.packages('treeheatr', repos = c('https://trangdata.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/trangdata/treeheatr/issues

Datasets:

diabetes - Diabetes patient records.
galaxy - Galaxy dataset for regression.
penguins - Data of three different species of penguins.
test_covid - External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.
train_covid - Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.
wine - Results of a chemical analysis of wines grown in a specific area of Italy.
wine_quality_red - Red variant of the Portuguese "Vinho Verde" wine.

On CRAN:

dataviz decision-trees ggplot heatmap visualization

6.81 score 60 stars 27 scripts 289 downloads 1 mentions 7 exports 61 dependencies

Last updated from:98127b2f57. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	185
source / vignettes	OK	271
linux-release-x86_64	OK	160
macos-release-arm64	OK	198
macos-oldrel-arm64	OK	200
windows-devel	OK	108
windows-release	OK	113
windows-oldrel	OK	108
wasm-release	OK	128

Exports:compute_tree draw_heat draw_tree eval_tree heat_tree scale_norm treeheatr

Dependencies:backports ca checkmate cli cluster codetools colorspace cpp11 dplyr farver foreach Formula gclus generics ggnewscale ggparty ggplot2 glue gtable hardhat inum isoband iterators labeling lattice libcoin lifecycle magrittr MASS Matrix mgcv mvtnorm nlme partykit permute pillar pkgconfig purrr qap R6 RColorBrewer registry rlang rpart S7 scales seriation sparsevctrs stringi stringr survival tibble tidyr tidyselect TSP utf8 vctrs vegan viridisLite withr yardstick

Explore treeheatr

Rendered fromexplore.Rmdusingknitr::rmarkdown

Last update: 2021-03-18
Started: 2020-04-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Align decision tree and heatmap:	align_plots
Performs clustering or features.	clust_feat_func
Performs clustering of samples.	clust_samp_func
Compute decision tree from data set	compute_tree
Diabetes patient records.	diabetes
Draws the heatmap.	draw_heat
Draws the conditional decision tree.	draw_tree
Print decision tree performance according to different metrics.	eval_tree
Galaxy dataset for regression.	galaxy
Get color functions from character vectors	get_cols
Select the important features to be displayed.	get_disp_feats
---------------------------- Get the fitted tree depending on the input `x`.	get_fit get_fit.data.frame get_fit.default get_fit.party get_fit.partynode
Draws and aligns decision tree and heatmap.	heat_tree treeheatr
Data of three different species of penguins.	penguins
Creates smart node layout.	position_nodes
Apply the predicted tree on either new test data or training data.	prediction_df
---------------------------- Prepare dataset	prep_data
Prepares the feature dataframes for tiles.	prepare_feats
Performs transformation on continuous variables.	scale_norm
Determines terminal node position.	term_node_pos
External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.	test_covid
Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.	train_covid
Results of a chemical analysis of wines grown in a specific area of Italy.	wine
Red variant of the Portuguese "Vinho Verde" wine.	wine_quality_red