A data object of class "mousetrap" with the imported and preprocessed mouse-tracking data from Kieslich & Henninger (2017). More information about the study and raw data can be found in KH2017_raw.
KH2017A mousetrap data object is a list containing at least the following objects:
data: a data.frame containing the trial data (from 
    which the mouse-tracking data columns have been removed). More 
    information about the content of the trial data in KH2017 can 
    be found in KH2017_raw. The rownames of data 
    correspond to the trial identifier. For convenience, the trial identifier
    is also stored in an additional column called "mt_id".
trajectories: an array containing the raw 
    mouse-tracking trajectories. The first dimension represents the different
    trials and the dimension names (which can be accessed using 
    rownames) correspond to the trial identifier (the same identifier 
    that is used as the rownames in data). The second dimension
    corresponds to the samples taken over time which are included in
    chronological order. The third dimension corresponds to the different
    mouse-tracking variables (timestamps, x-positions, y-positions) which are
    usually called timestamps, xpos, and ypos.
Some functions in this package (e.g., mt_time_normalize and
  mt_average) add additional trajectory arrays (e.g.,
  tn_trajectories and av_trajectories) to the mousetrap data
  object. Other functions modify the existing arrays (e.g.,
  mt_derivatives adds distance, velocity, and acceleration
  to an existing dataset). Finally mt_measures adds an
  additional data.frame with mouse-tracking measures to it.
The raw dataset (KH2017_raw) was filtered keeping only correctly answered trials. The filtered dataset was imported using mt_import_mousetrap. Trajectories were then remapped using mt_remap_symmetric so that all trajectories end in the top-left corner and their starting point was aligned to a common value (0,0) using mt_align_start.
Kieslich, P. J., & Henninger, F. (2017). Mousetrap: An integrated, open-source mouse-tracking package. Behavior Research Methods, 49(5), 1652-1667. https://doi.org/10.3758/s13428-017-0900-z
Dale, R., Kehoe, C., & Spivey, M. J. (2007). Graded motor responses in the time course of categorizing atypical exemplars. Memory & Cognition, 35(1), 15-28. https://doi.org/10.3758/BF03195938