R上的Leaflet:如何为数据框中的每个因子级别创建图层和颜色

Question

(顺便问一下,还有另一个包可以做我想要的吗？)

这是我的数据集:

> head(df)
    id groupID       lat       lon
511  1  277706 -10.89834 -37.05893
377  2  277706 -10.88870 -37.07695
98   3  277705 -10.89050 -37.09406
392  4  277697 -10.92131 -37.10525
6    5  277705 -10.89050 -37.09406
364  6  277697 -10.93730 -37.11600

我想使用传单根据纬度和经度绘制地图上的每一行.另外,每个标记(或弹出窗口或CircleMarker)应该具有基于groupID变量的不同颜色和图层.

问题是数据每天都在变化,我不知道我将为groupID变量提供多少不同的唯一级别.在此示例数据集中有12个级别,但它可以在5到大约30之间.文档中的示例使用预定义的级别.

这是我尝试过的:

colorsmap = colors()[1:length(unique(df3$groupID))]
groupColors = colorFactor(palette = "RdYlBu", domain = df3$groupID)

leaflet(data = df3) %>%
  addTiles() %>%
  addCircleMarkers(lng = ~lon, lat = ~lat, color = ~groupColors(groupID),
                   group = ~groupID) %>%
  #addLegend(position = "topright", pal = groupColors, values = ~groupID) %>%
  addLayersControl(~groupID)

它确实提供了一个情节,但是当我只选择一个级别时,其他级别不会消失它们应该:

图片:

数据集本身:

> dput(df3)
structure(list(id = 1:20, groupID = c(277698L, 277715L, 277704L, 
277706L, 277705L, 277705L, 277719L, 277705L, 277705L, 277709L, 
277706L, 277705L, 277704L, 277706L, 277715L, 277702L, 277719L, 
277706L, 277715L, 277706L), lat = c(-10.8172615660655, -10.8904055150991, 
-10.8887597563482, -10.90203509, -10.9001514, -10.8997748900025, 
-10.8960177351343, -10.8896179908615, -10.8991450456802, -10.9224848475651, 
-10.9000373151094, -10.8905013650562, -10.8889438100208, -10.9001234797436, 
-10.8861897462579, -10.9326053452642, -10.8916601751623, -10.902075281944, 
-10.8822231928033, -10.9079483812524), lon = c(-36.9248145687343, 
-37.0665064455395, -37.0921721937304, -37.05829295, -37.0969278, 
-37.0976847916125, -37.0840372102666, -37.0963566353117, -37.0945971936751, 
-37.0549293249471, -37.066113628594, -37.0940632483155, -37.095505683692, 
-37.0590422449149, -37.0782556623101, -37.0698746017798, -37.0841003949028, 
-37.0593363285999, -37.0724709841895, -37.0817244836096)), .Names = c("id", 
"groupID", "lat", "lon"), row.names = c(20L, 23L, 8L, 36L, 14L, 
13L, 16L, 2L, 11L, 1L, 26L, 6L, 5L, 31L, 22L, 50L, 17L, 34L, 
25L, 42L), class = "data.frame")

Answer 1

library(leaflet)

groups = as.character(unique(df3$groupID))

map = leaflet(df3) %>% addTiles(group = "OpenStreetMap")
for(g in groups){
  d = df3[df3$groupID == g, ]
  map = map %>% addCircleMarkers(data = d, lng = ~lon, lat = ~lat, 
                                 color = ~groupColors(groupID),
                                 group = g)

}
map %>% addLayersControl(overlayGroups = groups)