我一直在寻找许多资源,很难找到具有互动情节所有功能的可重复示例。我真的很想在闪亮的应用程序中使用这些功能,这些功能类似于plotly()
中提供的选项:
我无法在同一代码中找到所有这些功能。我个人希望每个散点图都应该具有这些功能,如果它们用于闪亮的应用程序中。由于ggplot()
中的此功能,许多人更喜欢plotly()
。在看到这个问题的答案后,我希望每个人都希望ggplot()
alonf与shiny
我已经创建了缩放功能,帮助我使用第二个和第三个功能,即在图例中单击组1时删除与组1对应的点的选项,并显示点> sx和y轴值鼠标悬停在它上面。感谢!!!
以下是要开始使用的示例数据和代码。
library(ggplot2)
library(ggrepel)
library(shiny)
ui=fluidPage(uiOutput("plot"))
server = function(input, output) {
#creating a range variable for zooming
ranges <<- reactiveValues(x = NULL, y = NULL)
#Creating sample Data
Data=data.frame(Group=c("Group 2","Group 1","Group 3","Group 2","Group 5","Group 4","Group 6",
"Group 7","Group 4","Group 3","Group 1","Group 5","Group 6","Group 7",
"Group 2","Group 4","Group 6","Group 7","Group 3","Group 1"),
Fruit=c("apple","apple","apple","mango","apple","apple","apple","apple","mango","mango",
"mango","mango","mango","mango","orange","orange","orange","orange","orange",
"orange"),
Percentage=c(68.46846847,77.35849057,72.72727273,26.12612613,76.31578947,62.79069767,
71.05263158,69.23076923,30.23255814,25,20.75471698,23.68421053,23.68421053,
23.07692308,5.405405405,6.976744186,5.263157895,7.692307692,2.272727273,
1.886792453))
#Creating the plor function
output$graph<-renderPlot({
ggplot(Data,aes(y=reorder(Fruit,Percentage),x=Percentage,
color=Group,
label=paste0(round(Percentage),"%")))+
geom_point(size=4)+
scale_x_continuous(limits=c(0,100))+
theme(panel.grid.major.y=element_line(color="gray90",size = 0.7),
panel.background=element_blank(),
strip.background=element_blank(),
panel.border=element_rect(color="black",fill=NA,size=1))+
labs(y="",x="% of people",color="")+
# geom_text_repel(direction="y",nudge_y = 0.2, point.padding = 0.1, box.padding = 0.1)+
coord_cartesian(xlim = ranges$x, ylim = ranges$y, expand = T)
})
#Rendering the plot with the brush parameter
output$plot=renderUI(
plotOutput("graph",dblclick = "plot1_dblclick",brush = brushOpts(id = "plot1_brush",resetOnNew = TRUE),height=450,width=900)
)
#To observe and change the limits of the graph (zooming)
observeEvent(input$plot1_dblclick, {
brush <- input$plot1_brush
if (!is.null(brush)) {
ranges$x <- c(brush$xmin, brush$xmax)
ranges$y <- c(brush$ymin, brush$ymax)
} else {
ranges$x <- NULL
ranges$y <- NULL
}
})
}
shinyApp(ui=ui,server=server)