b <- ggplot(mpg, aes(x=fl)) b+geom_bar() 修改填充颜色 b+geom_bar(fill="steelblue", color="black")+theme_classic() 两个变量:x,y皆连续 使用数据集mtcars, 先创建一个ggplot图层 b <- ggplot(data = mtcars, aes(x=wt, y=mpg)) 可能添加的图层有: geom_point():散点图 geom_smooth()...
# Change line types, colors and sizes ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype=sex, color=sex, size=sex))+ geom_point()+ scale_linetype_manual(values=c("twodash", "dotted"))+ scale_color_manual(values=c('#999999','#E69F00'))+ scale_size_manua...
scale_size_manual() : to change the size of lines # Change line types, colors and sizes ggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype=sex, color=sex, size=sex))+ geom_point()+ scale_linetype_manual(values=c("twodash", "dotted"))+ scale_color_manual(...
排序:ggplot(upc, aes=(x=reorder(Abb, Change)), y =Change, fill = Region) 正负条形图着色:首先,创建一个对取值正负情况进行标示的变量,然后参数设定为position='identity',这可以避免系统因对负值绘制堆积条形而发出的警告信息。 guide=FALSE删除图例 width调整条形图的条形宽度;position_dodge(0.7)调整条形间...
一组连续数据可以映射到X轴坐标,也可以映射到一组连续的渐变色彩。一组分类数据可以映射成为不同的形状,也可以映射成为不同的大小,这就是与aes内的各种美学(shape、color、fill、alpha)调整有关的函数。 coord_:调整坐标,控制了图形的坐标轴并影响所有图形元素. 调整坐标 coord_flip()来翻转坐标轴。使用xlim()和...
scale_linetype_manual() : to change line types scale_color_manual() : to change line colors scale_size_manual() : to change the size of lines # Change line types, colors and sizesggplot(df2, aes(x=time, y=bill, group=sex)) + geom_line(aes(linetype=sex, color=sex, size=sex))...
# Change y axis limit ggplot2.stripchart(data=df,xName='dose',yName='len',groupName='dose',ylim=c(0,50))# y Log scale.yScale="log2".# Possible value="none","log2"and"log10"ggplot2.stripchart(data=df,xName='dose',yName='len',groupName='dose',yScale="log2") ...
# Change x axis limit ggplot2.histogram(data=weight, xName='weight', groupName='sex', alpha=0.5, showLegend=FALSE, xlim=c(60,72)) # x Log scale. Possible values="none", "log2" and "log10" ggplot2.histogram(data=weight, xName='weight', groupName='sex', alpha=0.5, showLegend=...
theme() to change the axis appearance scale_x_ and scale_y_ to change the axis type Let’s see how to use them # Load ggplot2 library(ggplot2) # Very basic chart basic <- ggplot( mtcars , aes(x=mpg, y=wt)) + geom_point() basic Set axis title and limits with xlab() and ...
There are outliers for cars with eight cylinders, represented with dots above and whiskers below. You can change the orientation of the chart if you find this one hard to look at. Just call the coord_flip() function when coding the chart: ggplot(df, aes(x = cyl, y = mpg)) + ...