The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

hwig

Calculates the half-weight index gregariousness (HWIG) as described in Godde et al. (2013) [1].

Installation

devtools::install_gitlab('robit.a/hwig')

# CRAN
install.packages('hwig')

Usage

# Load packages
library(hwig)
library(data.table)

# Load example data
DT <- fread(system.file("extdata", "DT.csv", package = "hwig"))

# Calculate HWI
hwi <- calc_hwi(DT, 'id', 'group', 'yr')
#> Generating  10  x  10  matrix
#> Generating  10  x  10  matrix

# Calculate HWIG
hwig <- calc_hwig(hwi)

# Set names
nms <- get_names(DT, 'yr')
names(hwig) <- nms

# Print first year's result
hwig[1]
#> $`2016`
#>       A     B      C D      E      F     G      H      I     J
#>  0.0000 0.000 1.0006 0 0.6857 1.3337 0.000 0.2727 1.5114 1.000
#>  0.0000 0.000 0.0000 0 0.0000 0.0000 3.058 0.0000 0.0000 0.000
#>  1.0006 0.000 0.0000 0 0.0000 1.1153 0.000 0.8868 1.3630 0.000
#>  0.0000 0.000 0.0000 0 0.0000 0.0000 0.000 0.0000 0.0000 0.000
#>  0.6857 0.000 0.0000 0 0.0000 0.5944 0.000 2.2281 0.4953 0.000
#>  1.3337 0.000 1.1153 0 0.5944 0.0000 0.000 0.4728 0.6936 0.000
#>  0.0000 3.058 0.0000 0 0.0000 0.0000 0.000 0.0000 0.0000 0.000
#>  0.2727 0.000 0.8868 0 2.2281 0.4728 0.000 0.0000 0.6303 1.773
#>  1.5114 0.000 1.3630 0 0.4953 0.6936 0.000 0.6303 0.0000 0.867
#>  1.0001 0.000 0.0000 0 0.0000 0.0000 0.000 1.7727 0.8670 0.000

References

[1] Sophie Godde, Lionel Humbert, Steeve D. Côté, Denis Réale, Hal Whitehead. Correcting for the impact of gregariousness in social network analyses. Animal Behaviour. Volume 85, Issue 3. 2013.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.