Package: mousetRajectory 0.2.1.9000
Roland Pfister
mousetRajectory: Mouse Trajectory Analyses for Behavioural Scientists
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 informationsee Pfister et al. (2024) <doi:10.20982/tqmp.20.3.p217>.
Authors:
mousetRajectory_0.2.1.9000.tar.gz
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mousetRajectory.pdf |mousetRajectory.html✨
mousetRajectory/json (API)
NEWS
# Install 'mousetRajectory' in R: |
install.packages('mousetRajectory', repos = c('https://mc-schaaf.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mc-schaaf/mousetrajectory/issues
Last updated 2 months agofrom:aa78987c43. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:auccurvaturedirection_changesindex_max_accelerationindex_max_velocityinterp1interp2is_monotonicis_monotonic_along_idealmax_adpoint_crossessampenstarting_angletime_circle_enteredtime_circle_left
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Area Under the Curve | auc |
Curvature | curvature |
xFlips | direction_changes |
Time point of maximum acceleration | index_max_acceleration |
Time point of maximum velocity | index_max_velocity |
Interpolation aka Time-Normalization | interp2 |
Test if vector is monotonically in-/decreasing | is_monotonic |
Test if vector is monotonically increasing along the ideal trajectory | is_monotonic_along_ideal |
(signed) Maximum Absolute Deviation | max_ad |
Number of times a point is crossed | point_crosses |
Sample entropy | sampen |
Starting angle | starting_angle |
Completion Time | time_circle_entered |
Initiation Time | time_circle_left |