inst/doc/interim_objects.R

In gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance Classification

## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  echo = FALSE, # hide code
  message = FALSE, # hide messages
  warning = FALSE, # hide warnings
  fig.width = 12,
  fig.height = 7,
  out.width = "100%"
)

## ----setup--------------------------------------------------------------------
library(gsClusterDetect)

## ----echo=TRUE----------------------------------------------------------------
result <- find_clusters(
  cases = example_count_data,
  distance_matrix = county_distance_matrix("OH")[["distance_matrix"]],
  detect_date = example_count_data[, max(date)],
  distance_limit = 50,
  return_interim = TRUE
)

# objects included in the output
for (n in names(result)) {
  cat(
    "Name: ",
    n,
    "\nClass: ",
    paste(class(result[[n]]), collapse = " "),
    "\n\n",
    sep = ""
  )
}