【发布时间】:2021-05-07 02:53:54
【问题描述】:
我正在使用 R 编程语言。我正在尝试采用不同类型的图表(条形图、饼图)并将它们放在同一页面上。我生成了一些假数据并制作了几张图表 - 然后我将它们放在一起(请参阅:Combining Different Types of Graphs Together (R))
library(dplyr)
library(ggplot2)
library(cowplot)
library(gridExtra)
library(plotly)
date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day")
var <- rnorm(731,10,10)
group <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.22, 0.25, 0.25) )
data = data.frame(date, var, group)
data$year = as.numeric(format(data$date,'%Y'))
data$year = as.factor(data$year)
###Pie
Pie_2014 <- data %>%
filter((data$year == "2014")) %>%
group_by(group) %>%
summarise(n = n())
Pie_2014_graph = ggplot(Pie_2014, aes(x="", y=n, fill=group)) +
geom_bar(stat="identity", width=1) +
coord_polar("y", start=0) +ggtitle( "Pie Chart 2014")
Pie_2015 <- data %>%
filter((data$year == "2015")) %>%
group_by(group) %>%
summarise(n = n())
Pie_2015_graph = ggplot(Pie_2015, aes(x="", y=n, fill=group)) +
geom_bar(stat="identity", width=1) +
coord_polar("y", start=0) +ggtitle( "Pie Chart 2015")
Pie_total = data %>%
group_by(group) %>%
summarise(n = n())
Pie_total_graph = ggplot(Pie_total, aes(x="", y=n, fill=group)) +
geom_bar(stat="identity", width=1) +
coord_polar("y", start=0) +ggtitle( "Pie Chart Average")
###bars
Bar_years = data %>%
group_by(year, group) %>%
summarise(mean = mean(var))
Bar_years_plot = ggplot(Bar_years, aes(fill=group, y=mean, x=year)) +
geom_bar(position="dodge", stat="identity") + ggtitle("Bar Plot All Years")
Bar_total = data %>%
group_by(group) %>%
summarise(mean = n())
Bar_total_plot = ggplot(Bar_total, aes(x=group, y=mean, fill=group)) +
geom_bar(stat="identity")+theme_minimal() + ggtitle("Bar Plot Average")
#assembling the graphs can be done two different ways
#first way
g1 <- grid.arrange(Pie_2014_graph, Pie_2015_graph , Pie_total_graph, nrow = 1)
g2 <- grid.arrange(Bar_total_plot, Bar_years_plot, nrow = 1)
g = grid.arrange(g1, g2, ncol = 1)
#second way
# arrange subplots in rows
top_row <- plot_grid(Pie_2014_graph, Pie_2015_graph, Pie_total_graph)
middle_row <- plot_grid(Bar_years_plot, Bar_total_plot)
# arrange our new rows into combined plot
p <- plot_grid(top_row, middle_row, nrow = 2)
p
从这里开始,我尝试使用plotly::ggplotly() 命令使上述输出“交互”(将鼠标移到图表上并查看标签)。我知道这适用于个别地块:
ggplotly(Bar_years_plot)
但是,此命令似乎不适用于“cowplot”和“gridExtra”输出:
#gridExtra version:
ggplotly(g)
Error in UseMethod("ggplotly", p) :
no applicable method for 'ggplotly' applied to an object of class "c('gtable', 'gTree', 'grob', 'gDesc')"
#cowplot version: (produces empty plot)
ggplotly(p)
Warning messages:
1: In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomDrawGrob() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
2: In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomDrawGrob() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
有谁知道是否有一种快速的方法可以将ggplotly() 函数用于使用“gridExtra”或“cowplot”创建的对象?
我知道通过一些工作,使用“htmltools”可能是可能的:
library(htmltools)
doc <- htmltools::tagList(
div(Pie_2014_graph, style = "float:left;width:50%;"),
div(Pie_2015_graph,style = "float:left;width:50%;"),
div(Pie_total_graph, style = "float:left;width:50%;"),
div(Bar_years_plot, style = "float:left;width:50%;"),
div(Bar_total_plot, style = "float:left;width:50%;"))
save_html(html = doc, file = "out.html")
但我不知道该怎么做。
有人可以告诉我如何使用 ggplotly() 或 htmltools() 使图形集合交互吗?
谢谢。
【问题讨论】:
标签: html r ggplot2 plotly data-visualization