在 ggplot2 中用 position=dodge 和 facet 网格覆盖 geom_point
overlay geom_point with position=dodge and facet grid in ggplot2
考虑到以下数据,我能够生成一个图来描述 react
的风险在一段时间内如何变化。
risk_1 <- c(0.121,0.226,0.333,0.167,0.200,0.273,0.138,0.323,0.394,0.250,0.200,0.545,0.190,0.355,0.515,0.333,0.300,0.818)
risk_minus_SE <- c(0.060,0.114,0.198,0.047,0.057,0.097,0.072,0.186,0.247,0.089,0.057,0.280,0.109,0.211,0.352,0.138,0.108,0.523)
risk_plus_SE <- c(0.229,0.398,0.504,0.448,0.510,0.566,0.249,0.499,0.563,0.532,0.510,0.787,0.309,0.531,0.675,0.609,0.603,0.949)
Status <- rep(c(rep('With placebo',3),rep('With drug',3)),3)
durtn <- rep(c('(3-15]','(15-30]','(30-46]'),6)
react <- c(rep("x\u226516",6),rep("x\u226509",6),rep("x\u226504",6))
df1 <- data.frame(risk_1, risk_minus_SE, risk_plus_SE, Status, durtn, react)
dodge <- position_dodge(width=0.45)
ggplot(df1,aes(colour=react, y=risk_1, x=durtn)) +
geom_point(aes(shape=durtn), shape=16, size = 5, position=dodge) +
geom_errorbar(aes(ymin=risk_minus_SE, ymax=risk_plus_SE), position = dodge, width=0.5, size=1, lty=1) +
scale_colour_manual(values = c('black','red','blue')) +
facet_grid(~Status) +
scale_shape_manual(values = c(8,19))+
theme_bw() +
scale_x_discrete(limits=c('(3-15]','(15-30]','(30-46]')) +
coord_cartesian(ylim = c(0, 0.8)) +
theme(legend.position = c(.1, .85), legend.background = element_rect(colour = "black"),
plot.title = element_text(lineheight=1.5, face="bold", size=rel(1.5), hjust = 0.5),
panel.grid.major.x = element_blank(),
axis.text.x = element_text(vjust=0.5, size=16),
axis.text.y = element_text(vjust=0.5, size=16),
axis.title.y = element_text(size=20),
axis.title.x = element_text(size=20),
legend.text = element_text(size = 16, face = "bold"),
strip.text = element_text(size=25)) +
xlab("\ntime (min)") + ylab("Risk")
我想要做的是在给定的 x 和 y 坐标处叠加一系列点。
即在 With drug
& durtn==(3,15]
,手动插入点在.....
- 黑色
react=x≥04
的风险==0.5
- 红色
react=x≥09
的风险==0.2
- 蓝色
react=x≥16
的风险==0.0
这样所需的输出应该看起来像
如何将 geom_point()
与 facet_grid
和 dodge
结合使用
首先,您必须创建一个单独的数据框,其中包含附加点的数据。
dat <- data.frame(risk_1 = c(0.5, 0.2, 0),
react = levels(df1$react),
durtn = '(3-15]',
Status = 'With drug')
这个新数据框 dat
可以与 geom_point
一起使用,以向现有绘图添加额外的图层。
+ geom_point(data = dat, position = dodge, shape = 4, size = 5, show.legend = FALSE)
考虑到以下数据,我能够生成一个图来描述 react
的风险在一段时间内如何变化。
risk_1 <- c(0.121,0.226,0.333,0.167,0.200,0.273,0.138,0.323,0.394,0.250,0.200,0.545,0.190,0.355,0.515,0.333,0.300,0.818)
risk_minus_SE <- c(0.060,0.114,0.198,0.047,0.057,0.097,0.072,0.186,0.247,0.089,0.057,0.280,0.109,0.211,0.352,0.138,0.108,0.523)
risk_plus_SE <- c(0.229,0.398,0.504,0.448,0.510,0.566,0.249,0.499,0.563,0.532,0.510,0.787,0.309,0.531,0.675,0.609,0.603,0.949)
Status <- rep(c(rep('With placebo',3),rep('With drug',3)),3)
durtn <- rep(c('(3-15]','(15-30]','(30-46]'),6)
react <- c(rep("x\u226516",6),rep("x\u226509",6),rep("x\u226504",6))
df1 <- data.frame(risk_1, risk_minus_SE, risk_plus_SE, Status, durtn, react)
dodge <- position_dodge(width=0.45)
ggplot(df1,aes(colour=react, y=risk_1, x=durtn)) +
geom_point(aes(shape=durtn), shape=16, size = 5, position=dodge) +
geom_errorbar(aes(ymin=risk_minus_SE, ymax=risk_plus_SE), position = dodge, width=0.5, size=1, lty=1) +
scale_colour_manual(values = c('black','red','blue')) +
facet_grid(~Status) +
scale_shape_manual(values = c(8,19))+
theme_bw() +
scale_x_discrete(limits=c('(3-15]','(15-30]','(30-46]')) +
coord_cartesian(ylim = c(0, 0.8)) +
theme(legend.position = c(.1, .85), legend.background = element_rect(colour = "black"),
plot.title = element_text(lineheight=1.5, face="bold", size=rel(1.5), hjust = 0.5),
panel.grid.major.x = element_blank(),
axis.text.x = element_text(vjust=0.5, size=16),
axis.text.y = element_text(vjust=0.5, size=16),
axis.title.y = element_text(size=20),
axis.title.x = element_text(size=20),
legend.text = element_text(size = 16, face = "bold"),
strip.text = element_text(size=25)) +
xlab("\ntime (min)") + ylab("Risk")
我想要做的是在给定的 x 和 y 坐标处叠加一系列点。
即在 With drug
& durtn==(3,15]
,手动插入点在.....
- 黑色
react=x≥04
的风险==0.5 - 红色
react=x≥09
的风险==0.2 - 蓝色
react=x≥16
的风险==0.0
这样所需的输出应该看起来像
如何将 geom_point()
与 facet_grid
和 dodge
首先,您必须创建一个单独的数据框,其中包含附加点的数据。
dat <- data.frame(risk_1 = c(0.5, 0.2, 0),
react = levels(df1$react),
durtn = '(3-15]',
Status = 'With drug')
这个新数据框 dat
可以与 geom_point
一起使用,以向现有绘图添加额外的图层。
+ geom_point(data = dat, position = dodge, shape = 4, size = 5, show.legend = FALSE)