# Change the low and high colors # Sequential color scheme sp2+scale_color_gradient(low="blue", high="red") # Diverging color scheme mid<-mean(mtcars$qsec) sp2+scale_color_gradient2(midpoint=mid, low="blue", mid="white", high="red", space = "Lab" ) 点颜色、大小、形状 R提供的点...
sp2<-ggplot(mtcars, aes(x=wt, y=mpg, color=qsec)) + geom_point() # Change the low and high colors # Sequential color scheme sp3 <- sp2+scale_color_gradient(low="blue", high="red") # Diverging color scheme 不同的配色方案 mid<-mean(mtcars$qsec) sp4 <- sp2+scale_color_gradient2...
# Change the low and high colors # Sequential color scheme sp2+scale_color_gradient(low="blue", high="red") 1. 2. 3. # Diverging color scheme mid<-mean(mtcars$qsec) sp2+scale_color_gradient2(midpoint=mid, low="blue", mid="white", high="red", space = "Lab" ) 1. 2. 3. 4...
# Color by qsec values sp2<-ggplot(mtcars, aes(x=wt, y=mpg, color=qsec)) + geom_point() sp2 # Change the low and high colors # Sequential color scheme sp2+scale_color_gradient(low="blue", high="red") # Diverging color scheme mid<-mean(mtcars$qsec) sp2+scale_color_gradient2(mid...
scale_color_gradientn(), scale_fill_gradientn():多种颜色梯度 # Color by qsec valuessp2<-ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point(aes(color = qsec))sp2 mark # Change the low and high colors# Sequential color schemesp2+scale_color_gradient(low="blue", high="red") mark # Di...
geom_point(aes(color = cty)) sp2 # Change the low and high colors# Sequential color schemesp2+scale_color_gradient(low="blue", high="red") # Diverging color schememid<-mean(mpg$cty) sp2+scale_color_gradient2(midpoint=mid, low="blue", mid="white", ...
ggplot2是一个功能强大且灵活的R包,由Hadley Wickham编写,其用于生成优雅的图形。ggplot2中的gg表示图形语法(Grammar of Graphics),这是一个通过使用“语法”来绘图的图形概念。 根据ggplot2的画图理念,一个图可以分为不同的基本部分: Plot = data + Aesthetics + Geometry。
ggplot(data=df, aes(x=mpg, y=wt))+geom_point(color="blue", size=2, shape=23) 绘图过程中常常要用到转换(transformation),这时添加图层的另一个方法是用stat_*()函数。 下例中的geom_density()与stat_density()是等价的 ggplot(wdata, aes(x=weight))+geom_density() ...
Change the Y-axis scale label in/out of plot region withrange.position: basic_coverage<-ggcoverage(data=track_df,plot.type="facet",mark.region=mark_region,range.position="in")basic_coverage Shared/Free Y-axis scale withfacet.y.scale: ...
The ggthemr R package is an R package to set up a new theme for your ggplot figures, and completely change the look and feel of your figures, from colours to gridlines. The package is available on github, and is installed using the Devtools package: library(devtools) devtools::install_g...