使用ggplot2根据R中的大小按比例缩放多个饼图
我想创建一个包含9个饼图(3x3)的网格,每个图表根据其大小进行缩放。 使用ggplot2
和cowplot
我能够创建我正在寻找的东西,但我无法进行缩放。 我只是忽略了一个函数,还是应该使用另一个包? 我也尝试了gridExtra包和ggplot的facet_grid
函数的grid.arrange,但都没有产生我在找的东西。使用ggplot2根据R中的大小按比例缩放多个饼图
我还发现了一个类似的问题(Pie charts in ggplot2 with variable pie sizes),它使用了facet_grid
。 不幸的是,这不适用于我的情况,因为我没有比较所有可能结果的两个变量。
所以这是我的示例代码:
#sample data
x <- data.frame(c("group01", "group01", "group02", "group02", "group03", "group03",
"group04", "group04", "group05", "group05", "group06", "group06",
"group07", "group07", "group08", "group08", "group09", "group09"),
c("w","m"),
c(8,8,6,10,26,19,27,85,113,70,161,159,127,197,179,170,1042,1230),
c(1,1,1,1,3,3,7,7,11,11,20,20,20,20,22,22,142,142))
colnames(x) <- c("group", "sex", "data", "scale")
#I have divided the group size by the smallest group (group01, 16 people) in order to receive the scaling-variable.
#Please note that I doubled the values here for simplicity-reasons for both men and women per group (for plot-scaling only one value is needed that I calculate
#seperately in the original data in the plot-scaling part underneath).
#In this example I am also going to use the scaling-variable as indicator of the sequence of the plots.
library(ggplot2)
library(cowplot)
#Then I create 9 pie-charts, each one containing one group and showing the quantity of men vs. women in a very simplistic style
#(only the name of the group showing; color of each sex is explained seperately in the according text)
p1 <- ggplot(x[c(1,2),], aes("", y = data, fill = factor(sex), x$scale[1]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[1])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p2 <- ggplot(x[c(3,4),], aes("", y = data, fill = factor(sex), x$scale[3]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[3])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p3 <- ggplot(x[c(5,6),], aes("", y = data, fill = factor(sex), x$scale[5]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[5])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p4 <- ggplot(x[c(7,8),], aes("", y = data, fill = factor(sex), x$scale[7]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[7])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p5 <- ggplot(x[c(9,10),], aes("", y = data, fill = factor(sex), x$scale[9]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[9])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p6 <- ggplot(x[c(11,12),], aes("", y = data, fill = factor(sex), x$scale[11]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[11])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p7 <- ggplot(x[c(13,14),], aes("", y = data, fill = factor(sex), x$scale[13]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[13])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p8 <- ggplot(x[c(15,16),], aes("", y = data, fill = factor(sex), x$scale[15]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[15])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
p9 <- ggplot(x[c(17,18),], aes("", y = data, fill = factor(sex), x$scale[17]))+
geom_bar(width = 4, stat="identity") + coord_polar("y", start = 0, direction = 1)+
ggtitle(label=x$group[17])+
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(),axis.line=element_blank(),axis.ticks=element_blank(),axis.text=element_blank(),plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5))
#Using cowplot, I create a grid that contains my plots
plot_grid(p1,p2,p3,p4,p5,p6,p7,p8,p9, align = "h", ncol = 3, nrow = 3)
#But now I want to scale the size of the plots according to their real group size (e.g.
#group01 with 16 people vs. group09 with more than 2000 people)
#In this context, ggplot's facet_grid function produces similar results of what I want to get,
#but since it looks at the data as a whole instead of separating groups from each other, it does not show
#complete pie charts per group
#So is there a possibility to scale each of the 9 charts according to their group size?
这是plot_grid
生产: pie-charts without scaling
使用rel_widths
说法我只能调节比例,但未能维持3×3格。
plot_grid(p1,p2,p3,p4,p5,p6,p7,p8,p9,
align="h",ncol=(nrow(x)/2),
rel_widths = c(x$scale[1],
x$scale[3],
x$scale[5],
x$scale[7],
x$scale[9],
x$scale[11],
x$scale[13],
x$scale[15],
x$scale[17]))
这是调整rel_widths做:
总之,我需要的是两者的混合物:缩放饼图中的网格。
这是怎么回事?
x$scale <- as.numeric(x$scale)
x$data <- as.numeric(x$data)
x$group <- factor(x$group, levels=levels(x$group)[order(x$scale[seq(1,nrow(x),2)])])
ggplot(x, aes(x=scale/2, y = data, fill = factor(sex), width=scale))+
geom_bar(position="fill", stat="identity") + coord_polar("y")+
facet_wrap(~ group, nrow=3) +
theme_classic()+theme(legend.position = "none")+
theme(axis.title=element_blank(), axis.line=element_blank(),
axis.ticks=element_blank(), axis.text=element_blank(),
plot.background = element_blank(),
plot.title=element_text(color="black",size=10,face="plain",hjust=0.5),
strip.background = element_blank(),
strip.text.x = element_text(color = "transparent"))
你走在正确的道路上。问题是您正在为3x3输出分配c(...)
值。这里有两个方法可以做到:
# Option 1
# individually for each row
plot_upper <- plot_grid(p1, p2, p3, labels = "", ncol = 3, rel_widths = c(1, 1.1, 1.2))
plot_middle <- plot_grid(p4, p5, p6, labels = "", ncol = 3, rel_widths = c(1.3, .3, 1.3))
plot_lower <- plot_grid(p7, p8, p9, labels = "", ncol = 3, rel_widths = c(1.2, 1.1, 1))
plot_grid(plot_upper, plot_middle, plot_lower, ncol = 1, rel_heights = c(1, 2.5, 1.7))
# Option 2
# Set size matrix
sizes <- matrix(c(x$scale[1],
x$scale[3],
x$scale[5],
x$scale[7],
x$scale[9],
x$scale[11],
x$scale[13],
x$scale[15],
x$scale[17]), ncol = 3)
plot_grid(p1,p2,p3,p4,p5,p6,p7,p8,p9, align = "h", ncol = 3, nrow = 3, rel_widths = sizes, rel_heights = sizes)
所以,如果你调整你的比例矩阵,并将其插入选项2,你应该获得你想要的。此外,定义您的data.frame
时不需要使用...cbind(...
。
谢谢!这产生了一个几乎与我正在寻找的网格。不幸的是,当两者之间没有足够的空间时,它还会在图表的标题之间产生重叠。我从代码中删除了cbind(...)。谢谢! –
以前错误地定义了矩阵'大小'。根据您的情况对其进行更正,现在应按预期工作。 –
太棒了!这几乎是我正在寻找的!不幸的是,它抛出了订单。是否有可能按组大小排序? –
@ alex_555查看我答案中的更新。 –
这适用于我的示例数据,但它不想做一些简单的操作,只需创建我的原始组名称中的一个因子即可。奇怪的。我很确定,我只是忽略了一点输入错误或类似的东西。所以,我很快就会解决这个问题......希望。谢谢! –