# Change x and y axis labels,and limits sp+scale_x_continuous(name="Speed of cars",limits=c(0,30))+scale_y_continuous(name="Stopping distance",limits=c(0,150)) 轴转换 对数化和开方转换 内置转换函数: scale_x_log10(), scale_y_log10() : for log10 transformation scale_x_sqrt(), ...
# set the intercept of x and y axis at (0,0)sp + expand_limits(x=0, y=0)# change the axis limitssp + expand_limits(x=c(0,30), y=c(0, 150)) img img 使用scale_xx()函数 也可以使用函数scale_x_continuous()和scale_y_continuous()分别改变x和y轴的刻度范围。 t 函数简单的形式如...
# set the intercept of x and y axis at (0,0)sp+expand_limits(x=0,y=0)# change the axis limitssp+expand_limits(x=c(0,30),y=c(0,150)) img img 使用scale_xx()函数 也可以使用函数scale_x_continuous()和scale_y_continuous()分别改变x和y轴的刻度范围。 t 函数简单的形式如下: scale_...
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)) 凡是修改坐标轴的属性,可以用theme(axis.text.x=theme_text(X轴属性),asix.text.y=theme_text(Y轴属性)) theme_text()是存储文字属性的...
The output of the previous syntax is shown in Figure 3: A ggplot2 barplot with default axis ranges. We can now use the ylim function to change our y-axis scale: ggp+# Draw ggplot2 barchart with manual y-axisylim(0,15) As shown in Figure 4, we created a ggplot2 graphic with ylim...
sp+xlim(5,40)+ylim(0,150)#setthe interceptofx and y axisat(0,0)sp+expand_limits(x=0,y=0)# change the axis limits sp+expand_limits(x=c(0,30),y=c(0,150))# Change x and y axis labels,and limits sp+scale_x_continuous(name="Speed of cars",limits=c(0,30))+scale_y_contin...
bp + scale_x_discrete(breaks=NULL) 1. 2. # 也可以这样通过设置 theme 实现 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 ...
y axis text 四 图例设置 legend 可以使用guide函数或者scale函数进行修改,这里分别进行一下介绍。 4.1 根据guide修改 p3 <- p2 + guides(color=guide_legend(title = "shape change legend")) p3 注意这里使用color=guide_legend ,和aes对...
Use scale_xx() functions It is also possible to use the functionsscale_x_continuous()andscale_y_continuous()to change x and y axis limits, respectively. The simplified formats of the functions are : scale_x_continuous(name, breaks, labels, limits, trans) scale_y_continuous(name, breaks, ...
axis.text.y=element_text(size=10)) # Y axis text 四 图例设置 legend 可以使用guide函数或者scale函数进行修改,这里分别进行一下介绍。 4.1 根据guide修改 p3 <- p2 + guides(color=guide_legend(title = "shape change Legend")) p3 注意这里使用color=guide_legend ,和aes对应 。