调整ggplot(R)中的垂直网格以匹配所需值
StackOverflow中的第二个帖子,因此我对enoguh不清楚表示歉意 我需要修改ggplot中的垂直网格,以匹配某些重复周期(每个dar或每个24小时)的开始和结束。我一直在找,但找不到类似的东西。我附加了一个代码来运行该问题:调整ggplot(R)中的垂直网格以匹配所需值,r,ggplot2,R,Ggplot2,StackOverflow中的第二个帖子,因此我对enoguh不清楚表示歉意 我需要修改ggplot中的垂直网格,以匹配某些重复周期(每个dar或每个24小时)的开始和结束。我一直在找,但找不到类似的东西。我附加了一个代码来运行该问题: mydate <- seq(ISOdate(2016,1,1), ISOdate(2016,2,1), by = "hour") # or "3 months" mysample <- runif(n = length(mydate), min =
mydate <- seq(ISOdate(2016,1,1), ISOdate(2016,2,1), by = "hour") # or "3 months"
mysample <- runif(n = length(mydate), min = 1, max = 10)
mydf <- data.frame(mydate,mysample)
mygraph <- ggplot(data = mydf, aes (x = mydate)) +
geom_line(aes(y = mysample, colour = "red")) +
ggtitle("MyTry") +
labs(x="Day of the Month", y= "MyValue") +
theme(panel.grid.minor = element_line(colour = "gray50", size = 0.1),
panel.grid.major = element_line(colour = "gray50", size = 0.5),
panel.grid.major.x = element_blank(),
panel.background = element_blank(),
axis.text.y = element_text(colour="gray", size = 10),
axis.text.x = element_text(vjust = 5, size = 9),
plot.title = element_text(hjust = 0.5, size = 20, vjust = 1))
mygraph
mydate您可以使用scale\u x\u timedate
alson控制刻度,并在axis.text.x
和axis.ticks.x
中进行一些调整,您可以得到粘贴在下面的结果
library(ggplot2)
library(lubridate)
library(scales)
mydate <- seq(ISOdate(2016,1,1), ISOdate(2016,2,1), by = "hour") # or "3 months"
mysample <- runif(n = length(mydate), min = 1, max = 10)
mydf <- data.frame(mydate,mysample)
mygraph <- ggplot(data = mydf, aes (x = mydate)) +
geom_line(aes(y = mysample, colour = "red")) +
ggtitle("MyTry") +
labs(x="Day of the Month", y= "MyValue") +
scale_x_datetime(labels = date_format("%b-%d"), breaks=pretty_breaks(n = 32)(as_datetime(c("2016-01-01", "2016-02-01")))) +
theme(panel.grid.minor = element_line(colour = "gray50", size = 0.1),
panel.grid.major = element_line(colour = "gray50", size = 0.5),
panel.grid.major.x = element_blank(),
panel.background = element_blank(),
axis.text.y = element_text(colour="gray", size = 10),
axis.text.x = element_text(size = 9, angle = 270, vjust = -.5),
axis.ticks.x=element_blank(),
plot.title = element_text(hjust = 0.5, size = 20, vjust = 1),)
mygraph
库(ggplot2)
图书馆(lubridate)
图书馆(比例尺)
我的约会谢谢!这将是有用的。