В RStudio я создал карту листовки, используя функцию tmap_leaflet, где некоторые полигоны окрашиваются в зависимости от значения переменной, а поверх полигонов печатаются некоторые гробы, которые показывают разбивку значения переменной на три категории.,Я хочу, чтобы это было частью файла Rmd, который хорошо связан, и вывод во всплывающем окне RStudio правильный, но в автоматически сохраненном html-файле отсутствуют гробы.
Вот воспроизводимый пример моегоRmd-файл, написанный в R studio:
knitr::opts_chunk$set(echo = FALSE)
library(tigris) #to download a USA map
library(sf)
library(dplyr)
library(tmap) #to build the map
library(tmaptools) #for function append_data
library(ggplot2) #to produce the grobs
library(leaflet) # for setView function
#download the usa map shapefile as an sf file
us_geo <- states(class = "sf")
#keep only the 48 contiguous States of the US which will be the background of the map
us48_geo <- subset(us_geo, !(NAME %in% c("Alaska",
"Hawaii",
"Puerto Rico",
"Commonwealth of the Northern Mariana Islands",
"United States Virgin Islands" ,
"Guam",
"American Samoa"
)) )
#data I want to plot on the map for four states
#the colour of the polygons of these States will depend on the value of Total_Number
#the grob for each state will be a pie chart showing the breakdown of the total number in the three categories, the percentages of which are also provided
dat_df <- data.frame( STATE = c("WA", "CA", "FL", "NJ"),
Total_Number = c(800, 1200, 1700, 2100),
Perc_Cat1 = c(30, 40, 50, 60),
Perc_Cat2 = c(10, 20, 30, 10),
Perc_Cat3 = c(60, 40, 20, 30))
#create an sf object for the four states I have data for
usStates_sf <- us48_geo %>%
filter(STUSPS %in% c("WA", "CA", "FL", "NJ") ) %>%
append_data(dat_df, key.shp = "STUSPS", key.data = "STATE")
#to make grobs, data need to be in long format
dat_df_long <-reshape(dat_df,
varying = list(3:5),
timevar = "Category",
v.names = "Perc",
idvar = "STATE",
direction="long")
#Category needs to be defined as factor so that scale_fill_manual() in ggplot() works as intended
dat_df_long$Category <- factor(dat_df_long$Category, levels = 1:3)
#define the colours of the piechart
cat_cols <- get_brewer_pal("Set3", 3)
#make the grobs
grobs <- lapply( split(dat_df_long,
dat_df_long$STATE), function(x) {
ggplotGrob( ggplot(x, aes(x="", y=-Perc, fill= Category)) +
geom_bar(width=1, stat="identity") +
scale_y_continuous(expand=c(0,0)) +
scale_fill_manual( values = cat_cols) +
theme_ps(plot.axes = FALSE) +
coord_polar("y", start=0) #to transform bar to pie
)
})
#to produce a static map
static_map <-
#background of the map:
tm_shape(us48_geo) + tm_polygons( col="white") +
#polygons of the four states I have data for coloured depending on the value of Total_Number
tm_shape(usStates_sf) +
tm_polygons(col="Total_Number",
palette = "YlOrBr",
title ="Total Number",
contrast = 0.7,
id = "STUSPS",
popup.vars = c("Total Number" = "Total_Number")) +
#add the grobs (piecharts) for each State
tm_symbols(shape="STUSPS",
shapes=grobs,
scale=1.5,
legend.shape.show = FALSE,
legend.size.is.portrait = TRUE,
shapes.legend = 22,
id = "STUSPS",
popup.vars = c("Category 1 (%)" ="Perc_Cat1",
"Category 2 (%)" = "Perc_Cat2",
"Category 3 (%)" = "Perc_Cat3") ) +
tm_add_legend(type="fill",
col=cat_cols,
labels= levels(dat_df_long$Category),
title="Category") +
tm_layout(legend.stack = "horizontal" )
#render the static map into a leaflet map
leafletmap <- tmap_leaflet(static_map) %>% setView(-96, 37.8, zoom=4)
Карта, которая должна быть построена, показана ниже
leafletmap
Все отлично работает в RStudio, но в HTML отсутствуют помехифайл автоматически сохраняется в моей рабочей папке.