#' ---
#' title: false
#' author: false
#' date: false
#' output:
#' html_document:
#' code_folding: hide
#' ---
#+ include=FALSE
rm(list = ls())
knitr::opts_chunk$set(message = FALSE, warning = FALSE)
library("highcharter")
library("purrr")
library("htmltools")
#' <style>.main-container { max-width: none}</style>
#'
#' # {.tabset .tabset-fade .tabset-pills}
#'
#' ## Leaflet
library("leaflet")
library("rvest")
library("stringr")
maps <- read_html("http://www.geonames.org/AU/largest-cities-in-australia.html") %>%
html_table(fill = TRUE) %>%
.[[2]] %>%
head(9) %>%
by_row(function(x){
coords <- str_split(x[[4]], "/") %>%
unlist() %>%
str_trim() %>%
as.numeric()
leaflet() %>%
addTiles() %>%
addMarkers(lng=coords[2], lat=coords[1], popup=x[[2]])
}) %>%
.[[".out"]]
hw_grid(maps, rowheight = 200, ncol = 3)
#' ## dygraphs
library("dygraphs")
tss <- list(AirPassengers, co2, USAccDeaths, LakeHuron,
mdeaths, ldeaths, cbind(mdeaths, ldeaths))
dycharts <- map(tss, dygraph)
hw_grid(dycharts, rowheight = 150, ncol = 3)
#' ## metricsgraphics
library("metricsgraphics")
mgcharts <- lapply(1:10, function(x) {
mjs_plot(rbeta(10000, x, x)) %>%
mjs_histogram(bar_margin = 2) %>%
mjs_labs(x_label = sprintf("Plot %d", x))
})
hw_grid(mgcharts, rowheight = 200)
#' ## highcharter
data(diamonds, package = "ggplot2")
diamonds <- diamonds[-6]
map(names(diamonds), function(x){
diamonds[[x]] %>%
hchart(showInLegend = FALSE) %>%
hc_add_theme(hc_theme_smpl()) %>%
hc_title(text = x) %>%
hc_yAxis(title = list(text = ""))
}) %>%
hw_grid(rowheight = 225, ncol = 3) %>% browsable()
#' ## highcharter map
#'
data(worldgeojson, package = "highcharter")
set.seed(1203)
ids <- sample(seq(123), size = 16)
map(ids, function(x){
wrld <- worldgeojson
wrld$features <- wrld$features[x]
highchart(type = "map") %>%
hc_add_serie(data = wrld, type = "map", color = "red", showInLegend = FALSE) %>%
hc_title(text = wrld$features[[1]]$properties$name) %>%
hc_add_theme(hc_theme_smpl())
}) %>%
hw_grid(rowheight = 155, ncol = 4) %>% browsable()
#' ## Multiples htmlwidgets
#'
pal <- colorQuantile("YlOrRd", NULL, n = 8)
data(orstationc)
c1 <- dygraph(nhtemp, main = "New Haven Temperatures") %>%
dyRangeSelector(dateWindow = c("1920-01-01", "1960-01-01"))
c2 <- highcharts_demo()
c5 <- mjs_plot(mtcars, x=wt, y=mpg) %>%
mjs_point(color_accessor=carb, size_accessor=carb) %>%
mjs_labs(x="Weight of Car", y="Miles per Gallon")
library(d3heatmap)
c6 <- d3heatmap(mtcars, scale="column", colors="Blues")
lst <- list(
c1,
c2,
c5,
c6
)
hw_grid(lst, rowheight = 300) %>% browsable()
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