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)