lawn (version 0.1.7)

lawn_quantile: Calculate quantiles

Description

Takes a data-FeatureCollection, a property name, set of percentiles and returns a quantile array

Usage

lawn_quantile(input, field, percentiles, lint = FALSE)

Arguments

input

Set of Features

field

The property in input from which to retrieve quantile values

percentiles

An Array of percentiles on which to calculate quantile values

lint

(logical) Lint or not. Uses geojsonhint. Takes up increasing time as the object to get linted increases in size, so probably use by default for small objects, but not for large if you know they are good geojson objects. Default: FALSE

Value

An array of the break values

See Also

Other classification: lawn_jenks, lawn_nearest, lawn_reclass

Examples

pts <- '{
 "type": "FeatureCollection",
 "features": [
   {
     "type": "Feature",
     "properties": {
       "population": 5
     },
     "geometry": {
       "type": "Point",
       "coordinates": [5, 5]
     }
   }, {
     "type": "Feature",
     "properties": {
       "population": 40
     },
     "geometry": {
       "type": "Point",
       "coordinates": [1, 3]
     }
   }, {
     "type": "Feature",
     "properties": {
       "population": 80
     },
     "geometry": {
       "type": "Point",
       "coordinates": [14, 2]
     }
   }, {
     "type": "Feature",
     "properties": {
       "population": 90
     },
     "geometry": {
       "type": "Point",
       "coordinates": [13, 1]
     }
   }, {
     "type": "Feature",
     "properties": {
       "population": 100
     },
     "geometry": {
       "type": "Point",
       "coordinates": [19, 7]
     }
   }
 ]
}'
lawn_quantile(pts, 'population', c(25, 50, 75, 99))
lawn_quantile(pts, 'population', c(25, 50, 75, 95))
lawn_quantile(pts, 'population', c(25, 50, 75))
lawn_quantile(pts, 'population', c(1, 50, 99.9))