This R package accompanies the publication by Leisterer-Peoples, et al. (2021).
This package contains the game data (Games
) and the filtering options (game_filter(...)
), as mentioned in our publication.
The raw data, the codeable passages on games from the original sources, are available upon request.
To use the game filter and access the game data, you need to install the devtools
package first from cran by using:
install.packages("devtools")
Then you can install the AustroGames package:
devtools::install_github("ccp-eva/AustroGames")
To load the package and data:
library(AustroGames)
data(Games)
data(Descriptions)
data(Cultures)
data(Sources)
The data can be examined further:
str(Games)
head(Games)
dim(Games)
colnames(Games)
To apply filters to the data, use game_filter
.
In the following example of game_filter
, we select the rows that were coded as being a rule-based game (i.e., no simple play), games that were coded as having a non-local origin (i.e., introduced into the cultural group), and games from ethnolinguistic groups that correspond to the Austronesian language phylogeny from Gray et al. (2009).
d <- game_filter( Games,
clean_games = TRUE,
clean_ABVD = FALSE,
clean_GS = FALSE,
clean_origin = "only_nonlocal",
clean_pulotu = FALSE,
clean_pulotu_time_0 = FALSE,
clean_pulotu_time_50 = FALSE,
clean_phylo = TRUE
)
For further help on the filtering options and data contents, see ?game_filter
?Games
?Descriptions
?Cultures
?Sources
and ?AustroGames
. Also see our article: https://doi.org/10.1057/s41599-021-00785-y for more information on data collection and data coding.