[英]Plotting marginal histograms (as factors) and scatterplot (as numeric) from the same variable in R
[英]scatterplot with alpha transparent histograms in R
如何在R中繪制具有alpha透明,無標度直方圖的散點圖,如圖所示?
看起來它不是在ggplot2中制作的。
有誰知道使用了什么命令?
library(ggplot2)
library(gridExtra)
set.seed(42)
DF <- data.frame(x=rnorm(100,mean=c(1,5)),y=rlnorm(100,meanlog=c(8,6)),group=1:2)
p1 <- ggplot(DF,aes(x=x,y=y,colour=factor(group))) + geom_point() +
scale_x_continuous(expand=c(0.02,0)) +
scale_y_continuous(expand=c(0.02,0)) +
theme_bw() +
theme(legend.position="none",plot.margin=unit(c(0,0,0,0),"points"))
theme0 <- function(...) theme( legend.position = "none",
panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.margin = unit(0,"null"),
axis.ticks = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.ticks.length = unit(0,"null"),
axis.ticks.margin = unit(0,"null"),
panel.border=element_rect(color=NA),...)
p2 <- ggplot(DF,aes(x=x,colour=factor(group),fill=factor(group))) +
geom_density(alpha=0.5) +
scale_x_continuous(breaks=NULL,expand=c(0.02,0)) +
scale_y_continuous(breaks=NULL,expand=c(0.02,0)) +
theme_bw() +
theme0(plot.margin = unit(c(1,0,0,2.2),"lines"))
p3 <- ggplot(DF,aes(x=y,colour=factor(group),fill=factor(group))) +
geom_density(alpha=0.5) +
coord_flip() +
scale_x_continuous(labels = NULL,breaks=NULL,expand=c(0.02,0)) +
scale_y_continuous(labels = NULL,breaks=NULL,expand=c(0.02,0)) +
theme_bw() +
theme0(plot.margin = unit(c(0,1,1.2,0),"lines"))
grid.arrange(arrangeGrob(p2,ncol=2,widths=c(3,1)),
arrangeGrob(p1,p3,ncol=2,widths=c(3,1)),
heights=c(1,3))
我無法找出是什么原因造成了密度下方的空間。 你可以擺弄情節邊緣以避免它,但我真的不喜歡它。
p2 <- ggplot(DF,aes(x=x,colour=factor(group),fill=factor(group))) +
geom_density(alpha=0.5) +
scale_x_continuous(breaks=NULL,expand=c(0.02,0)) +
scale_y_continuous(breaks=NULL,expand=c(0.00,0)) +
theme_bw() +
theme0(plot.margin = unit(c(1,0,-0.48,2.2),"lines"))
p3 <- ggplot(DF,aes(x=y,colour=factor(group),fill=factor(group))) +
geom_density(alpha=0.5) +
coord_flip() +
scale_x_continuous(labels = NULL,breaks=NULL,expand=c(0.02,0)) +
scale_y_continuous(labels = NULL,breaks=NULL,expand=c(0.00,0)) +
theme_bw() +
theme0(plot.margin = unit(c(0,1,1.2,-0.48),"lines"))
我不知道是否有一個直接執行此操作的程序包,但我確信這可以在R中完成。透明度很簡單:為給定的透明度添加另外兩位數的RGB規范:
#FF0000 # red
#FF0000FF # full opacity
#FF000000 # full transparency
使用layout
功能也可以輕松組合不同的圖表。 至於垂直密度圖,它與切換x和y的水平圖相同。 這里給出的例子可以很容易地擴展到包括顏色,較小的邊距等。如果這個描述不夠,我可以嘗試提出一個更詳細的例子。
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