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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():

mlr_tasks$get("dti")
tsk("dti")

Meta Information

  • Task type: “regr”

  • Dimensions: 340x4

  • Properties: “groups”

  • Has Missings: FALSE

  • Target: “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

Other Task: mlr_tasks_fuel, mlr_tasks_phoneme