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Calculates the half-weight index gregariousness (HWIG) as described in Godde et al. (2013) [1].
devtools::install_gitlab('robit.a/hwig')
# CRAN
install.packages('hwig')# 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 0.000These 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.
Health stats visible at Monitor.