7),linetype="dashed") + scale_x_continuous(breaks=seq(-20,20), limits = c(1, 7...
#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))...
scale_x_continousscale_y_continousscale_x_discretescale_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 = ...
scale_fill_lancet(guide=guide_legend(reverse = T),name="Type")+ geom_vline(data = df ,mapping=aes(xintercept=chromlengthCumsum),linetype=2)+ geom_text(data = df,aes(x=chromMidelePosFrom0,y=ypos,label=chromName))+ scale_x_continuous(expand = c(0,-1000),limits = c(0,2.9e9),na...
9. ggplot2中expand参数 我们似乎没有担心过数据点被画到axes之外,这是因为ggplot2会在data range和axes之间加一些padding,以保证数据和坐标轴不会重叠: 来自scale_x_continous()的usage expand For position scales, a vector of range expansion constants used to add some padding around the data to ...
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_...
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”还是...
scale_x_continuous(expand = c(0,0)) + coord_polar(theta ='x')#按照y轴进行圆周化 ggplot(mydata)+ geom_rect(aes(xmin = xstart,xmax = xend , ymin = ystart , ymax = yend , fill = class)) + scale_fill_wsj + scale_y_continuous(expand = c(0,0)) + ...
对于连续型坐标轴,只需要在ggplot2作图命令中添加“scale_x_continuous(expand = c(0, 0))”或者“scale_y_continuous(expand = c(0, 0))”;对于非连续型坐标轴,只需要在ggplot2作图命令中添加“scale_x_discrete(expand = c(0, 0))”或者“scale_y_discrete(expand = c(0, 0))”。这样就可以将...
scale_x_continuous(expand =c(0, 0)) +scale_y_continuous(expand =c(0, 0)) erupt +scale_fill_gradient(limits =c(0, 0.04), low ="white", high ="black") erupt +scale_fill_gradient2(limits =c(-0.04, 0.04), midpoint =mean(df$density)) ...