plot_JoinCount: plot_JoinCount

In Nicolas-Schmidt/BayesSPsurv: Bayesian Spatial Split Population Survival Model

Description

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

Usage

plot_JoinCount(
  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)


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

Nicolas-Schmidt/BayesSPsurv documentation built on Sept. 17, 2021, 8:51 a.m.