tabset, table layout, support for GIS shapefiles through library 'sf'
Arguments
- ...
Optional parameters for the command
for sf.series - see points, polylines, polygons(itemStyle).
for tabset parameters should be in format name1=chart1, name2=chart2, see example- cmd
utility command, see Details
- js
optional JavaScript function, default is NULL.
- event
optional event name for cmd='morph'.
Details
cmd = 'sf.series'
Build leaflet or geo map series from shapefiles.
Supported types: POINT, MULTIPOINT, LINESTRING, MULTILINESTRING, POLYGON, MULTIPOLYGON
Coordinate system is leaflet(default), geo or cartesian3D (for POINT(xyz))
Limitations:
polygons can have only their name in tooltip,
assumes Geodetic CRS is WGS 84, for conversion use st_transform with crs=4326.
Parameters:
df - value from st_read
nid - optional column name for name-id used in tooltips
cs - optional coordinateSystem value, default 'leaflet'
verbose - optional, print shapefile item names in console
Returns a list of chart series
cmd = 'sf.bbox'
Returns JavaScript code to position a map inside a bounding box from st_bbox, for leaflet only.
cmd = 'sf.unzip'
Unzips a remote file and returns local file name of the unzipped .shp file
url - URL of remote zipped shapefile
shp - optional name of .shp file inside ZIP file if multiple exist. Do not add file extension.
cmd = 'geojson'
Custom series list from geoJson objects
geojson - object from fromJSON
cs - optional coordinateSystem value, default 'leaflet'
ppfill - optional fill color like '#F00', OR NULL for no-fill, for all Points and Polygons
nid - optional feature property for item name used in tooltips
... - optional custom series attributes like itemStyle
Can display also geoJson feature properties: color; lwidth, ldash (lines); ppfill, radius (points)
cmd = 'layout'
Multiple charts in table-like rows/columns format
... - List of charts
title - optional title for the entire set
rows - optional number of rows
cols - optional number of columns
Returns a container div in rmarkdown, otherwise browsable.
For 3-4 charts one would use multiple series within a grid.
For greater number of charts ec.util(cmd='layout') comes in handy
cmd = 'tabset'
... - a list name/chart pairs like n1=chart1, n2=chart2, each tab may contain a chart.
tabStyle - tab style string, see default tabStyle variable in the code
Returns A) tagList of tabs when in a pipe without '...' params, see example
Returns B) browsable when '...' params are provided by user
cmd = 'button'
UI button to execute a JS function,
text - the button label
js - the JS function string
... - optional parameters for the rect element
Returns a graphic.elements-rect element.
cmd = 'morph'
... - a list of charts or chart option lists
event - name of event for switching charts. Default is click.
Returns a chart with ability to morph into other charts
cmd = 'fullscreen'
A toolbox feature to toggle fullscreen on/off. Works in a browser, not in RStudio.
cmd = 'rescale'
v - input vector of numeric values to rescale
t - target range c(min,max), numeric vector of two
cmd = 'level'
Calculate vertical levels for timeline line charts, returns a numeric vector
df - data.frame with from and to columns
from - name of 'from' column
to - name of 'to' column
Examples
library(dplyr)
if (interactive()) { # comm.out: Fedora errors about some 'browser'
library(sf)
fname <- system.file("shape/nc.shp", package="sf")
nc <- as.data.frame(st_read(fname))
ec.init(load= c('leaflet', 'custom'), # load custom for polygons
js= ec.util(cmd= 'sf.bbox', bbox= st_bbox(nc$geometry)),
series= ec.util(cmd= 'sf.series', df= nc, nid= 'NAME', itemStyle= list(opacity=0.3)),
tooltip= list(formatter= '{a}')
)
htmltools::browsable(
lapply(iris |> group_by(Species) |> group_split(),
function(x) {
x |> ec.init(ctype= 'scatter', title= list(text= unique(x$Species)))
}) |>
ec.util(cmd= 'tabset')
)
p1 <- cars |> ec.init(grid= list(top=26), height=333) # move chart up
p2 <- mtcars |> arrange(mpg) |> ec.init(height=333, ctype='line')
ec.util(cmd= 'tabset', cars= p1, mtcars= p2)
}
#> Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE
#> Reading layer `nc' from data source
#> `C:\Users\gugu\Documents\R\win-library\4.2\sf\shape\nc.shp'
#> using driver `ESRI Shapefile'
#> Simple feature collection with 100 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
#> Geodetic CRS: NAD27
#>
#> series: 108 records: 2529
cars |> ec.init(
graphic = list(
ec.util(cmd='button', text='see type', right='center', top=20,
js="function(a) {op=ec_option(echwid); alert(op.series[0].type);}")
)
)
lapply(list('dark','macarons','gray','jazz','dark-mushroom'),
function(x) cars |> ec.init(grid= list(bottom=0)) |> ec.theme(x) ) |>
ec.util(cmd='layout', cols= 2, title= 'my layout')
my layout
colors <- c("blue","red","green")
cyls <- as.character(sort(unique(mtcars$cyl)))
sers <- lapply(mtcars |> group_by(cyl) |> group_split(), \(x) {
cyl <- as.character(unique(x$cyl))
list(type='scatter', id=cyl, dataGroupId=cyl,
data= ec.data(x |> select(mpg,hp)),
universalTransition= TRUE)
})
oscatter <- list(
title= list(subtext='click points to morph'),
color= colors, tooltip= list(show=TRUE),
xAxis= list(scale=TRUE, name='mpg'), yAxis= list(scale=TRUE, name='hp'),
series= sers
)
opie <- list(
title= list(text= 'Average hp'),
color= colors, tooltip= list(show=TRUE),
series= list(list(
type= 'pie', label= list(show=TRUE), colorBy= 'data',
data= ec.data(mtcars |> group_by(cyl) |> summarize(value= mean(hp)) |>
mutate(groupId= as.character(cyl), name= as.character(cyl)),'names'),
universalTransition= list(enabled=TRUE, seriesKey= cyls)
))
)
ec.util(cmd='morph', oscatter, opie)