View source: R/HDSpatialScan_plotCurves.R
plotCurves.ResScanOutputUniFunct | R Documentation |
This function plot the curves in the clusters detected by the univariate functional scan functions (PFSS, NPFSS, DFFSS or URBFSS).
## S3 method for class 'ResScanOutputUniFunct'
plotCurves(
x,
add_mean = FALSE,
add_median = FALSE,
colors = "red",
only.MLC = FALSE,
...
)
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. |
No value returned, plots the curves.
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)
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