Trajectory Analysis in R
An R package for analysing 2-dimensional animal trajectories, which represent the movements of animals through space and time. It provides functions to easily calculate various quantitative measures of trajectories such as speed and straightness or tortuosity. It also provides a range of other trajectory operations such as resampling to fixed step lengths (rediscretization), determining turning angles and step lengths, and so on. If you use trajr in your research, please cite McLean, D. J., & Skowron Volponi, M. A. (2018). trajr: An R package for characterisation of animal trajectories. Ethology, 124(6), 440-448. https://doi.org/10.1111/eth.12739.
trajr does not provide functionality to create trajectories; it operates on existing trajectories which are sequences of (x, y, time) coordinates. It does, however, provide some functionality to generate random trajectories for simulation or testing of analyses.
Refer to NEWS.md for a list of changes in each version. The article trajr: An R package for characterisation of animal trajectories described trajr version 1.0.0. Please refer to NEWS.md for a brief summary of what has changed since the article was written.
$ install.packages("trajr")Or to install the latest development version directly from Github:
$ install.packages("devtools")
$ devtools::install_github("JimMcL/trajr")Or else, to install from Github and get the user documentation (vignette):
$ install.packages("devtools")
$ devtools::install_github("JimMcL/trajr", build_vignettes = TRUE)Unfortunately, installing vignettes can be time-consuming.
The best way to start is to read our paper and the package vignette. After installation from CRAN (or from github including vignettes), the vignette can be accessed by running browseVignettes(package = "trajr"). The vignette for the CRAN version is available on CRAN at https://cran.r-project.org/web/packages/trajr/vignettes/trajr-vignette.html.
- Session info --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
setting value
version R version 4.0.2 (2020-06-22)
os Windows 10 x64
system x86_64, mingw32
ui RStudio
language (EN)
collate English_Australia.1252
ctype English_Australia.1252
tz Australia/Sydney
date 2020-12-16
- Packages ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
package * version date lib source
assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.2)
backports 1.1.7 2020-05-13 [1] CRAN (R 4.0.0)
callr 3.4.3 2020-03-28 [1] CRAN (R 4.0.2)
cli 2.0.2 2020-02-28 [1] CRAN (R 4.0.2)
crayon 1.3.4 2017-09-16 [1] CRAN (R 4.0.2)
desc 1.2.0 2018-05-01 [1] CRAN (R 4.0.2)
devtools 2.3.0 2020-04-10 [1] CRAN (R 4.0.2)
digest 0.6.25 2020-02-23 [1] CRAN (R 4.0.2)
ellipsis 0.3.1 2020-05-15 [1] CRAN (R 4.0.2)
fansi 0.4.1 2020-01-08 [1] CRAN (R 4.0.2)
fs 1.4.2 2020-06-30 [1] CRAN (R 4.0.2)
glue 1.4.1 2020-05-13 [1] CRAN (R 4.0.2)
magrittr 1.5 2014-11-22 [1] CRAN (R 4.0.2)
memoise 1.1.0 2017-04-21 [1] CRAN (R 4.0.2)
packrat 0.5.0 2018-11-14 [1] CRAN (R 4.0.2)
pkgbuild 1.0.8 2020-05-07 [1] CRAN (R 4.0.2)
pkgload 1.1.0 2020-05-29 [1] CRAN (R 4.0.2)
prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.0.2)
processx 3.4.3 2020-07-05 [1] CRAN (R 4.0.2)
ps 1.3.3 2020-05-08 [1] CRAN (R 4.0.2)
R6 2.4.1 2019-11-12 [1] CRAN (R 4.0.2)
remotes 2.1.1 2020-02-15 [1] CRAN (R 4.0.2)
rlang 0.4.7 2020-07-09 [1] CRAN (R 4.0.2)
rprojroot 1.3-2 2018-01-03 [1] CRAN (R 4.0.2)
rstudioapi 0.11 2020-02-07 [1] CRAN (R 4.0.2)
sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.2)
testthat 2.3.2 2020-03-02 [1] CRAN (R 4.0.2)
tinytex 0.24 2020-06-20 [1] CRAN (R 4.0.2)
usethis 1.6.1 2020-04-29 [1] CRAN (R 4.0.2)
withr 2.2.0 2020-04-20 [1] CRAN (R 4.0.2)
xfun 0.15 2020-06-21 [1] CRAN (R 4.0.2)