mt_space_normalize: Space normalize trajectories.

Description

Adjust trajectories so that all trajectories have an identical start and end point. If no end points are provided, trajectories are only adjusted so that they have the same start position.

Usage

mt_space_normalize(data, use = "trajectories", save_as = "sn_trajectories",
  xpos_start = 0, xpos_end = NULL, ypos_start = 0, ypos_end = NULL,
  show_progress = TRUE)

Arguments

data

a mousetrap data object created using one of the mt_import functions (see mt_example for details).

use

a character string specifying which trajectory data should be used.

save_as

a character string specifying where the resulting trajectory data should be stored.

xpos_start

an integer specifying the value the first x-position should have in each trial.

xpos_end

an (optional) integer specifying the value the last x-position should have in each trial. If unspecified (the default), trajectories are only adjusted so that they have the same start position.

ypos_start

an integer specifying the value the first y-position should have in each trial.

ypos_end

an (optional) integer specifying the value the last y-position should have in each trial. If unspecified (the default), trajectories are only adjusted so that they have the same start position.

show_progress

logical indicating whether function should report its progress.

Value

A mousetrap data object (see mt_example) with an additional array (by default called sn_trajectories) containing the space-normalized trajectories.

References

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.

Examples

Run this code

mt_example <- mt_space_normalize(mt_example,
  save_as ="sn_trajectories",
  xpos_start=0, xpos_end=-1,
  ypos_start=0, ypos_end=1)