plot_JointCount — plot_JointCount • BayesSPsurv

Uses Joint Count tests to assess spatial clustering or dispersion of categorical variables in the data. Negative values indicate positive spatial clustering.

plot_JointCount(
  data,
  var_cured = character(),
  var_id = character(),
  var_time = character(),
  n = 1,
  t = 1.645,
  threshold = 800L
)

Arguments

data	data.
var_cured	binary indicator of immunity.
var_id	ID's unique identifier.
var_time	variable that measures time.
n	number of observation per id.
t	value of the confidence interval.
threshold	distance in kilometers. By default is 800.

Value

A ggplot object

Examples


library(BayesSPsurv)
dataw  <- spduration::add_duration(data = BayesSPsurv::Walter_2015_JCR,
                                   y = "renewed_war",
                                   unitID = "ccode",
                                   tID = "year",
                                   freq = "year",
                                   ongoing = FALSE)
#> Warning: Converting to 'Date' class with yyyy-06-30


plot_JointCount(data = dataw,
               var_cured = "cured",
               var_id = "ccode",
               var_time = "year",
               n = 12)