Gallery

Please add links to animints (and their source code) on this page.

plots with explanations

Animint tutorial pages, originally by Susan VanderPlas, with additions from other animint devs

Carson Sievert's interactive animation of baseball data

Carson Sievert's strike zone expansion viz

Kevin Ferris's visualization of pirate attacks

Axes updates

Full path of changepoint models and cost functions, source

single selection

Minimizing area under min(FP,FN), source

Generalized ROC curve maximization / ChIP-seq peak detection error curve alignment problem, source

Two generalized ROC curves for neuroblastoma data changepoint detection models, source

ML algos predicting species presence, with Lasso coefficients, 10-fold CV, source

• Sugar Maple
• Table Mountain Pine

Maximum likelihood Gaussian segmentation model selection with BIC from animint/inst/examples/intreg.R.

Max margin interval regression for supervised segmentation model selection from animint/inst/examples/intreg.R.

Learned penalty function vs BIC from change-tutorial/figure-regression-interactive-some.R.

Data viz with 206 selectors of PeakSegJoint model on chunk1 of the PeakSegDP exampleData set [source].

Cost/slack minimization over all feature thresholds, for building max margin interval tree models source

PeakSegJoint heuristic segmentation algorithm demonstration [source].

Consistency of PeakSegJoint and PeakSeg in simulated Poisson data [source]

Demonstrations of Pruned Dynamic Programming Algorithm: 4 data, 234 data, source

Demo of constrained Pruned DPA source

multiple selection

Compare interval regression tree model predictions, source

WorldBank facets + select multiple countries, source.

WorldBank data viz for Animint paper, source.

breakpoints select multiple segmentation models

Tornado select multiple states

Montreal bike data:

software	designer	published	notes
Animint	Toby Dylan Hocking	Jan 2016	map + accidents + counters
Animint	Toby Dylan Hocking	Oct 2014	select multiple counter locations
Tableau	Roberto Rocha	Nov 2011	select single location

complex big data examples

GP sample selection model prediction accuracy, source

Peaks in target interval if infeasible models are allowed source.

Max-margin supervised penalty learning for peak detection in ChIP-seq data source

Peak detection test ROC curves source.

Labeled genomic windows with links to PNG images source.

Climate change sensor stations [source].

BROKEN: L1-regularized logistic regression model of differences in ChIP-seq profiles from https://github.com/tdhock/animint-examples/ -- 4 selectors

BROKEN: Comparison of test error of 3 ChIP-seq peak detection algorithms -- 3 selectors, 5 plots. Other version with colored ROC curves and 6 plots.

BROKEN: Differentially methylated regions, 4 selectors