# x axis limits sp+xlim(min,max)# y axis limits sp+ylim(min,max) min和max是每个轴的最小值和最大值。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Box plot:change y axis range bp+ylim(0,50)# scatter plots:change x and y limits
Expand plot limits Conclusion Key ggplot2 R functions Start by creating a scatter plot using thecarsdata set: library(ggplot2) p <- ggplot(cars, aes(x = speed, y = dist)) + geom_point() 3 Key functions are available to set the axis limits and scales: ...
直接使用scale_x_reverse()/scale_y_reverse()。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 p<-ggplot(diamonds,aes(carat,price))+geom_point()p1<-p+scale_x_reverse()p+p1 plot of chunk unnamed-chunk-5 修改类别型坐标轴的顺序 使用scale_x_discrete()中的limits参数即可。 或者在原始数据...
还有我们需要将xy轴的结合位点设置为0，这个操作是针对y轴的，需要用到scale_y_continuous，代码如下：scale_y_continuous(expand = expansion(0), limits = c(0, 0.4), breaks = seq(0, .4, .1))上面的代码中expand是控制y轴的上下限的伸展程度的，expansion(0)就意味着y轴不做任何拓展，limits设定y...
bp + theme(axis.ticks = element_blank(), axis.text.x = element_blank()) 1. 2. 连续型数据的坐标轴 设置坐标轴的范围和颠倒 # Make sure to include 0 in the y axis bp + expand_limits(y=0) # y轴从0開始 1. 2. # 设置y轴的范围 ...
limits = c(2, 5), # 设置Y轴显示范围 position = "right") # 将Y轴放置于右侧 如何调整刻度线呢?这时候我们需要使用theme函数,修改axis.ticks.length参数,为了明显一点,我们将刻度线长度设置为1cm: p + scale_x_continuous(breaks = as.numeric(X), ...
scale_x_continuous(limits=c("A","B")#显示范围为A-B 或者ylim(A,B) 2.修改坐标轴显示刻度 scale_x_continuous(limits=c("A","B"), breaks=seq(起始值,终止值,间隔)) 3.修改坐标轴标签 旋转坐标轴标签theme(axis.text.x=element_text(angle=45,size=8)) ...
Example 1: Set X-Axis Limits Using xlim() Using the xlim() method, the scatterplot’s x-axis boundaries can be defined as seen in the following code: make a scatterplot with an x-axis of 10 to 40. ggplot(mtcars, aes(mpg, wt)) + geom_point() + xlim(10, 40) ...
oob:函数对象,Function that handles limits outside of the scale limits (out of bounds). na.value :用于替换缺失值的值 trans :指定转化对象,用于产生breaks和labels; position:指定坐标轴的位置; sec.axis:指定辅助坐标轴(secondary axis); 例如,x轴是以日期(date)为值的坐标轴,而y轴按照pretty_breaks()...
ggplot(chic, aes(x = date, y = temp)) + geom_point(color = "firebrick") + labs(x = "Year", y = "Temperature (°F)") + theme(axis.title.x = element_text(vjust = 0, size = 15), axis.title.y = element_text(vjust = 2, size = 15)) ...