In wadpac/GGIR: Raw Accelerometer Data Analysis

knitr::opts_chunk$set(echo = TRUE)

Install R and RStudio

• Download and install R

• Download and install RStudio

Install GGIR

Install the latest released version of GGIR with its dependencies from CRAN. You can do this with one command from the R command line:

```{R,eval=FALSE} install.packages("GGIR", dependencies = TRUE) library(GGIR)

Alternatively, you can install the latest development version, which
might include additional bug fixes and functionalities. To get the
development version, please use:

```{R,eval=FALSE}
install.packages("remotes", dependencies = TRUE)
remotes::install_github("wadpac/GGIR", dependencies = TRUE)
library(GGIR)

Other packages you may need

Additionally, in some use-cases you will need to install one or multiple additional packages. Note that these packages are not installed by default, so please follow the instructions if:

• You want to derive Neishabouricounts (with do.neishabouricounts = TRUE), install the actilifecounts package with install.packages("actilifecounts")
• You want to process Sensewear xlsx files (with dataFormat = "sensewear"), install the readxl package with install.packages("readxl")

Installing older versions of a package

When aiming to reproduce historical analysis it is critical to install the correct package version. Below we will explain how to do this for GGIR release 2.4-0 but this should work for any release. Note that GGIR is archived on both CRAN (major releases only) and GitHub (all releases).

From CRAN archive:

require(remotes)
install_version("GGIR", version = "2.4-0", repos = "http://cran.us.r-project.org")

To see which releases are available on CRAN check out: https://cran.r-project.org/src/contrib/Archive/GGIR/.

From GitHub:

require(remotes)
install_github("wadpac/GGIR", ref = "2.4-0")

To see which releases are available on CRAN check out: https://github.com/wadpac/GGIR/releases.

wadpac/GGIR documentation built on March 5, 2025, 11 p.m.