scale_y_continuous(expand = c(0.05,0), limits = c(0,10), breaks = seq(0,10,2)) + theme_bw(base_size = 20) ##等价于 p1 <- ggplot(df, aes(x = x, y = y)) + geom_point(color = "#0074b3",size = 4) + scale_y_continuous(
主要用于scale_(x|y)_continuous和scale_(x|y)_discrete函数的expand参数中，以下是两者的区别：...
p2 = ggplot(data, aes(x=aod, y=pm25))+ geom_pointdensity(adjust=0.1,show.legend = TRUE) 得到基本图像: 5.接下来我们来美化图像 5.1.我们发现x和y轴不重叠,我们使用这行代码来解决 scale_y_continuous(expand = c(0,0))+ #刻画x轴 scale_x_continuous(expand = c(0,0))+#刻画y轴 5.2我们...
scale_x_continous scale_y_continous scale_x_discrete scale_y_discrete 1. 连续型变量坐标轴 函数及其参数: scale_x_continuous(name=,#坐标轴标签breaks=,#定义刻度minor_breaks=,labels=,#刻度标签limits=,expand=c(0.05,0),#坐标轴延伸,确保图形元素不覆盖坐标oob=censor,#识别越过边界的点na.value=NA_r...
scale_x_continuous(name = , #坐标轴标签 breaks = , #定义刻度 minor_breaks = , labels = , #刻度标签 limits = , expand = c(0.05,0), #坐标轴延伸,确保图形元素不覆盖坐标 oob = censor,#识别越过边界的点 na.value = NA_real_,
sp+expand_limits(x=c(0,30),y=c(0,150)) 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: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 scale_x_continuous(name,breaks,labels,limits,trans)scale_y_continuous(na...
scale_x_continuous(name = waiver(), breaks = waiver(), minor_breaks = waiver(), labels = waiver(), limits = NULL, expand = waiver(), oob = censor, na.value = NA_real_, trans = "identity") 中的 参数trans 可以实现相同的效果 ...
expand_limits()函数可以实现同样的功能 p + expand_limits(x = , y=)scale_x_continuous() 和 scale_y_continuous()函数可以设置坐标轴label和范围 p + scale_x_continuous(name="Speed of cars", limits=c(, 30)) + scale_y_continuous(name="Stopping distance", limits=c(, 15 ...
p2 + scale_x_continuous(labels = scales::comma) + # 数字逗号分割,每3位数增加1个逗号 scale_y_continuous(labels = scales::dollar) # y轴美元单位显示 7.2 颜色fill/color,灰度grey,色相hue, 色盲颜色 (点击放大) 参数解释: * type 在scale_color_continuous中表示指定变化类型,是普通渐变“gradient”还...
对于连续性变量,通常使用函数scale_x_continuous、scale_y_continuous scale_x_continuous( name = waiver(), breaks = waiver(), minor_breaks = waiver(), n.breaks = NULL, labels = waiver(), limits = NULL, expand = waiver(), oob = censor, na.value = NA_real_, trans = "identity", guide...