This dataset contains two functional covariates and three scalar covariate. The goal is
to predict the PASAT score. pasat represents the PASAT score at each vist.
subject_id represents the subject ID. cca represents the fractional anisotropy tract profiles from the corpus
callosum. sex indicates subject's sex. rcst represents the fractional anisotropy tract profiles from the right
corticospinal tract. Rows containing NAs are removed.
This is a subset of the full dataset, which is contained in the package refund.
Format
R6::R6Class inheriting from mlr3::TaskRegr.
Dictionary
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():
Meta Information
Task type: “regr”
Dimensions: 340x4
Properties: “groups”
Has Missings:
FALSETarget: “pasat”
Features: “cca”, “rcst”, “sex”
References
Goldsmith, Jeff, Bobb, Jennifer, Crainiceanu, M C, Caffo, Brian, Reich, Daniel (2011). “Penalized functional regression.” Journal of Computational and Graphical Statistics, 20(4), 830–851.
Brain dataset courtesy of Gordon Kindlmann at the Scientific Computing and Imaging Institute, University of Utah, and Andrew Alexander, W. M. Keck Laboratory for Functional Brain Imaging and Behavior, University of Wisconsin-Madison.
See also
Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html
Package mlr3data for more toy tasks.
Package mlr3oml for downloading tasks from https://www.openml.org.
Package mlr3viz for some generic visualizations.
Dictionary of Tasks: mlr_tasks
as.data.table(mlr_tasks)for a table of available Tasks in the running session (depending on the loaded packages).mlr3fselect and mlr3filters for feature selection and feature filtering.
Extension packages for additional task types:
Unsupervised clustering: mlr3cluster
Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.
Other Task:
mlr_tasks_fuel,
mlr_tasks_phoneme