我正在努力创建两个图形和合并成一个单一的图形使用补丁。X轴是日期,顶部的图形是geom_line/geom_point图形,底部的图形是使用geom_col创建的。当组合时,我想让顶部图形中的点与底部图形中的列的中心对齐。
我希望b/c x轴跨越相同的日期,点将与列的中心对齐。在几次尝试中,我都无法将列上方的点居中。生成的图形(和代码)如下所示。

library(patchwork)
nn<-15
p1data = tibble(date=ymd('2021-01-01') + days(0:(nn-1)), values=floor(runif(nn, 5.0, 75)))
p2data <- tibble(initdate = ymd('2021-01-01')+days(0:(nn-1)), data=runif(nn,4,10))
# set up a tibble to shade in every other day
shade <- tibble(min=ymd('2021-01-01 00:00')+days(0:20),max=lead(min))
# Remove every other row
toDelete <- seq(1,dim(shade)[1],by=2)
shade <- shade[-toDelete,]
plot_limits = c(ymd('2021-01-01'),ymd('2021-01-16'))
# Orginal Attempt
p1 <- p1data %>%
ggplot() +
geom_rect(data=shade, aes(xmin=min,xmax=max,ymin=-Inf,ymax=Inf),fill='grey80' ) +
geom_line(aes(x=date,y=values)) +
geom_point(aes(x=date,y=values),color='red',size=3) +
scale_x_date(expand=c(0,0),
date_breaks = '1 days',
date_labels = '%b-%d',
limits=plot_limits) +
labs(title='two plots combined') +
theme_bw() +
theme(plot.title=element_text(hjust=0.5),
axis.text.x=element_blank(),
axis.ticks.x=element_blank(),
axis.title.x=element_blank())
p2 <- p2data %>%
ggplot() +
geom_col(aes(x=initdate,y=data, fill=data)) +
scale_x_date(expand=c(0,0),date_breaks = '1 days',date_labels = '%b-%d') +
theme_bw() +
theme(plot.title=element_blank(),
axis.title.x=element_blank(),
axis.text.x=element_text(angle=0),
legend.direction = "horizontal",
legend.position = "bottom",
legend.key.width=unit(1.25,"cm"),
legend.key.height=unit(.25,"cm"),
legend.box = "vertical",
legend.box.background = element_blank(),
legend.title = element_text(face = "bold"),
legend.spacing = unit(1,"cm"),
legend.justification = "center",
legend.margin = margin(0.,0.,0.,0., unit="cm"),
legend.background = element_blank(),
plot.margin = margin(0, 0, 0, 0, "cm")
)
p1/p2有没有其他方法可以在顶部图表中将每天的点居中,而在底部图表中将列居中?
发布于 2021-10-15 14:57:21
在准备这个问题时,我能够开发出一个解决方案。解决方案是对顶部图形使用日期时间格式,而不仅仅是日期。然后,可以将与数据关联的日期时间设置为YYYY-MM-DD 12:00。然后在一天的中间绘制数据,而不是在每天开始的时候绘制。
生成的图形为:

实现它的代码是:
# The solution that works
# Specify the dates in datetime format and use the hours to center the data in the day.
# The shade data for daily shades must be in datetime asd well.
# set up a tibble to shade in every other day
shade_dtm <- tibble(min=ymd_hm('2021-01-01 00:00')+days(0:20),max=as_datetime(lead(min)))
# Remove every other row
toDelete <- seq(1,dim(shade_dtm)[1],by=2)
shade_dtm <- shade_dtm[-toDelete,]
# create data
p1data_dtm = tibble(date=ymd_hm('2021-01-01 12:00') + days(0:(nn-1)), values=floor(runif(nn, 5.0, 75)))
plot_limits_dtm = c(ymd_hm('2021-01-01 00:00'),ymd_hm('2021-01-16 00:00'))
p1 <- p1data_dtm %>%
ggplot() +
geom_rect(data=shade_dtm, aes(xmin=min,xmax=max,ymin=-Inf,ymax=Inf),fill='grey80' ) +
geom_line(aes(x=date,y=values)) +
geom_point(aes(x=date,y=values),color='red',size=3) +
scale_x_datetime(expand=c(0,0),
date_breaks = '1 days',
date_labels = '%b-%d',
limits=plot_limits_dtm) +
labs(title='two plots combined: data aligned') +
theme_bw() +
theme(plot.title=element_text(hjust=0.5),
axis.text.x=element_blank(),
axis.ticks.x=element_blank(),
axis.title.x=element_blank())
p2 <- p2data %>%
ggplot() +
geom_col(aes(x=initdate,y=data, fill=data)) +
scale_x_date(expand=c(0,0),date_breaks = '1 days',date_labels = '%b-%d') +
theme_bw() +
theme(plot.title=element_blank(),
axis.title.x=element_blank(),
axis.text.x=element_text(angle=0),
legend.direction = "horizontal",
legend.position = "bottom",
legend.key.width=unit(1.25,"cm"),
legend.key.height=unit(.25,"cm"),
legend.box = "vertical",
legend.box.background = element_blank(),
legend.title = element_text(face = "bold"),
legend.spacing = unit(1,"cm"),
legend.justification = "center",
legend.margin = margin(0.,0.,0.,0., unit="cm"),
legend.background = element_blank(),
plot.margin = margin(0, 0, 0, 0, "cm")
)
p1/p2https://stackoverflow.com/questions/69586731
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