index_max_acceleration

Computes the index of the peak acceleration of a trajectory,
defined by vectors of x and y coordinates, and assumed to be equidistant
in time.

Helping psychologists and other behavioural scientists
to analyze mouse movement (and other 2-D trajectory) data. Bundles
together several functions that compute spatial measures (e.g., maximum
absolute deviation, area under the curve, sample entropy) or provide a
shorthand for procedures that are frequently used (e.g., time
normalization, linear interpolation, extracting initiation and movement
times). For more information on these dependent measures, see Wirth et al.
(2020) <doi:10.3758/s13428-020-01409-0>.

Roland Pfister

mousetRajectory

Mouse Trajectory Analyses for Behavioural Scientists

Solveig Tonn

Moritz Schaaf

Robert Wirth

index_max_acceleration function

<dl><dt>x_vector</dt>
<dd>x-coordinates of the executed path.</dd>
<dt>y_vector</dt>
<dd>y-coordinates of the executed path.</dd>
<dt>absolute</dt>
<dd>Should negative accelerations (i.e., deceleration)
be included? Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Time point of maximum acceleration — index_max_acceleration

<dl>

<dt>x_vector</dt>
<dd>x-coordinates of the executed path.</dd>


<dt>y_vector</dt>
<dd>y-coordinates of the executed path.</dd>


<dt>absolute</dt>
<dd>Should negative accelerations (i.e., deceleration)
be included? Defaults to <code>FALSE</code>.</dd>

</dl>

index_max_acceleration: Time point of maximum acceleration

Description

Usage

Value

Arguments

Details

References

Examples