p2 <- ggplot(df, aes(x = x, y = y)) + geom_point(color = "#0074b3",size = 4) + scale_y_continuous(expand = c(0.5,0), limits = c(0,10), breaks = seq(0,10,2)) + theme_bw(base_size = 20) ##等价于 p2 <- ggplot(df, aes
函数可以调整x轴的连续型变量的标签显示方式。 scale_x_continuous函数是ggplot2包中的一个函数,用于对x轴进行连续型变量的标签调整。它可以设置x轴标签的范围、显示格式、刻度间隔...
geom_raster(aes(fill = density)) #去掉灰色区域,间接扩大可视化空间的方法:scale_x_continuous(expand = c(0, 0)) ggplot(faithfuld, aes(waiting, eruptions)) + geom_raster(aes(fill = density)) + scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0))发布...
p=ggplot(df,aes(x=gear,y=mpg,fill=cyl))+geom_bar(position="dodge",stat="identity",width=0.65)# start from0iny-axis p+scale_x_continuous(expand=expansion(mult=c(0,0)))# add x-labels p=ggplot(df,aes(x=gear,y=mpg,fill=cyl))+geom_bar(position="dodge",stat="identity",width=0.65...
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_real_,trans='identity',#统计变换posit...
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 ...
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_,
scale_x_continuous(NULL, expand = c(0, 0)) + scale_y_continuous(NULL, expand = c(0, 0)) + theme(legend.position = "none") p1 <- erupt #scale_fill_viridis_c()和scale_fill_distiller() p2 <- erupt + scale_fill_viridis_c() ...
scale_x_log10()与scale_x_continuous(trans = "log10")等价。 qplot(log10(carat), log10(price), data = diamonds) qplot(carat, price, data = diamonds) + scale_x_log10() + scale_y_log10() 1. 2. 直接绘制log10(x)和scale_x_log10()在绘图区域生成完全相同的结果,但坐标轴和刻度标签却...
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...