HDSpatialScan (version 1.0.4)

plotCurves.ResScanOutputUniFunct: Plots the curves in the clusters detected by the univariate functional scan functions (PFSS, NPFSS, DFFSS or URBFSS)

Description

This function plot the curves in the clusters detected by the univariate functional scan functions (PFSS, NPFSS, DFFSS or URBFSS).

Usage

# S3 method for ResScanOutputUniFunct
plotCurves(
  x,
  add_mean = FALSE,
  add_median = FALSE,
  colors = "red",
  only.MLC = FALSE,
  ...
)

Value

No value returned, plots the curves.

Arguments

x

ResScanOutputUniFunct. Output of a univariate functional scan function (PFSS, NPFSS, DFFSS or URBFSS).

add_mean

boolean. If TRUE it adds the global mean curve in black.

add_median

boolean. If TRUE it adds the global median curve in blue.

colors

character. The colors to plot the clusters' curves. If length(colors)==1 then all the clusters will be plotted in this color. Else there must be the same number of elements in colors than the number of clusters

only.MLC

logical. Should we plot only the MLC or all the significant clusters?

...

Further arguments to be passed to or from methods.

Examples

# \donttest{
library(sp)
data("map_sites")
data("funi_data")
coords <- coordinates(map_sites)

res_npfss <- SpatialScan(method = "NPFSS", data = funi_data, sites_coord = coords,
system = "WGS84", mini = 1, maxi = nrow(coords)/2)$NPFSS

plotCurves(x = res_npfss, add_mean = TRUE, add_median = TRUE)# }
# \dontshow{
library(sp)
data("map_sites")
data("funi_data")
indices <- c(51:75)
coords <- coordinates(map_sites[indices,])
res_npfss <- SpatialScan(method = "NPFSS", data = funi_data[indices,],
sites_coord = coords,
system = "WGS84", mini = 1, maxi = nrow(coords)/2, MC = 99)$NPFSS
if(length(res_npfss$sites_clusters)>0){
plotCurves(x = res_npfss, add_mean = TRUE, add_median = TRUE)
}

# }