从前只知道shiny和shinydashboard，开发简单的网页是够的，但一旦对颜值有了要求，就不能对html和css丝毫不知。
关于shiny与CSS：https://shiny.rstudio.com/articles/css.html
这几天搜索发现了几个UI包，学会了基本操作，来分享一下。
1.shinythemes
shiny主题，最兼容原始shiny的美化包，内置http://bootswatch.com/上几乎所有的bootstrap主题，手到擒来。是这样的：
链接：https://rstudio.github.io/shinythemes/
shinytheme有一个很好的功能：themeselector，可以在线切换主题，方便选择和比较。
if(!require(shinythemes)) install.packages("shinythemes")
shinyApp(
ui = fluidPage(
shinythemes::themeSelector(), # <--- Add this somewhere in the UI
sidebarPanel(
textInput("txt", "Text input:", "text here"),
sliderInput("slider", "Slider input:", 1, 100, 30),
actionButton("action", "Button"),
actionButton("action2", "Button2", class = "btn-success"),
selectInput("txt1","species", c("a","b","c"))
),
mainPanel(
tabsetPanel(
tabPanel("Tab 1"),
tabPanel("Tab 2")
)
)
),
server = function(input, output) {}
)
2.dashboardthemes
如果网页是用shinydashboard写的，shiny主题很多用不了。这事就有了dashboardthemes：
可供选择的只有七个主题。但扩展性非常强，可以自己写主题，每一个控件都是可改动的，非常实用。
链接：https://github.com/nik01010/dashboardthemes
3.semantic.dashboard
https://github.com/Appsilon/semantic.dashboard
https://appsilon.com/create-outstanding-dashboards-with-the-new-semantic-dashboard-package/
这是一个公司开发的dashboard包美化版本，示例造型是这样的：
可选的theme有不少：http://semantic-ui-forest.com/themes/
参考链接：https://github.com/Appsilon/semantic.dashboard
https://appsilon.com/create-outstanding-dashboards-with-the-new-semantic-dashboard-package/
library(shiny)
library(semantic.dashboard)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody()
)
server <- shinyServer(function(input, output, session) {
})
shinyApp(ui, server)
示例的完整代码：
library(shiny)
library(semantic.dashboard)
library(ggplot2)
library(plotly)
library(DT)
ui <- dashboardPage(
dashboardHeader(color = "blue",title = "Dashboard Demo", inverted = TRUE),
dashboardSidebar(
size = "thin", color = "teal",
sidebarMenu(
menuItem(tabName = "main", "Main", icon = icon("car")),
menuItem(tabName = "extra", "Extra", icon = icon("table"))
)
),
dashboardBody(
tabItems(
selected = 1,
tabItem(
tabName = "main",
fluidRow(
box(width = 8,
title = "Graph 1",
color = "green", ribbon = TRUE, title_side = "top right",
column(width = 8,
plotOutput("boxplot1")
)
),
box(width = 8,
title = "Graph 2",
color = "red", ribbon = TRUE, title_side = "top right",
column(width = 8,
plotlyOutput("dotplot1")
)
)
)
),
tabItem(
tabName = "extra",
fluidRow(
dataTableOutput("carstable")
)
)
)
), theme = "cerulean"
)
server <- shinyServer(function(input, output, session) {
data("mtcars")
colscale <- c(semantic_palette[["red"]], semantic_palette[["green"]], semantic_palette[["blue"]])
mtcars$am <- factor(mtcars$am,levels=c(0,1),
labels=c("Automatic","Manual"))
output$boxplot1 <- renderPlot({
ggplot(mtcars, aes(x = am, y = mpg)) +
geom_boxplot(fill = semantic_palette[["green"]]) +
xlab("gearbox") + ylab("Miles per gallon")
})
output$dotplot1 <- renderPlotly({
ggplotly(ggplot(mtcars, aes(wt, mpg))
+ geom_point(aes(colour=factor(cyl), size = qsec))
+ scale_colour_manual(values = colscale)
)
})
output$carstable <- renderDataTable(mtcars)
})
shinyApp(ui, server)
4.bs4Dash
这个包可以作为shiny的辅助，是18年刚开发的，目前基本没有中文教程，看下他的结构：
cran页面：https://cran.r-project.org/web/packages/bs4Dash/index.html
github：https://github.com/RinteRface/bs4Dash
（1）空框架
if(!require(bs4Dash))install.packages("bs4Dash")
library(shiny)
library(bs4Dash)
shiny::shinyApp(
ui = bs4DashPage(
navbar = bs4DashNavbar(),
sidebar = bs4DashSidebar(),
controlbar = bs4DashControlbar(),
footer = bs4DashFooter(),
title = "Basic Dashboard",
body = bs4DashBody()
),
server = function(input, output) {}
)
（2）示例网页，除了前面的加载，其实只有一行代码看示例
if(!require(fontawesome))devtools::install_github("rstudio/fontawesome")
if(!require(shinyWidgets))install.packages("shinyWidgets")
if(!require(bs4Dash))install.packages("bs4Dash")
if(!require(plotly))install.packages("plotly")
library(shiny)
library(fontawesome)
library(shinyWidgets)
library(bs4Dash)
library(plotly)
bs4DashGallery()