y = hwy, color = cty)) + geom_point(size = 5) + scale_color_continuous(low = "blu...
geom_point() +scale_color_gradient(low = "#f0cf61", high = "#371722") +scale_size_continuous(range = c(1, 4)) +theme_classic() + labs(x = "Sepal Length", y = "Sepal Width", title = "Iris Sepal") + theme(plot.title = element_text(size = 15, face = "bold", hjust = ...
p=ggplot(mtcars%>%mutate(am=as.factor(am)))+geom_point(aes(mpg,disp,colour=am))## 更改 x 间隔为5p+scale_x_continuous(name="X name(distance = 10)",breaks=breaks_width(10))->p1 ## 更改 x 间隔为2p+scale_x_continuous(name="X name(distance = 2)",breaks=breaks_width(2))->p2 ...
scale_color_discrete(name='颜色2')+scale_size_continuous(name='尺寸2')+ scale_shape_discrete(name='形状2') 1. 2. 3. 4. 5. 6. 删除坐标轴和图例的名称 方法1, labs() library(ggplot2) data=data.frame(x=1:10,y=1:5,z=factor(1:5)) ggplot(data,aes(x=x,y=y,shape=z,color=z,...
scale_colour_gray() scale_colour_hue() scale_colour_brewer() scale_colour_manual() 基于大小属性: scale_size_discrete() scale_size_continuous() scale_size_manual() scale_size_area() 基于形状属性: scale_shape_discrete() scale_shape_continuous() ...
scale_size_continuous(range = c(4, 10))+ facet_wrap(~ year,ncol=1)+ ggtitle("汽车油耗与型号")+ labs(y='每加仑高速公路行驶距离', x='每加仑城市公路行驶距离')+ guides(size=guide_legend(title='排量'), colour = guide_legend(title='车型', ...
# 代码来自 http://sape.inf.usi.ch/quick-reference/ggplot2/shaped=data.frame(p=c(0:25,32:127))ggplot() +scale_y_continuous(name="") +scale_x_continuous(name="") +scale_shape_identity() +geom_point(data=d, mapping=aes(x=p%%16, y=p%/%16, shape=p), size=5, fill="red") ...
...cyl转换为因子后将其映射给fill; 最后使用scale_size设置点的大小范围,使用scale_fill_npg()设置点的内部填充色。...,我们分别可以通过scale_x_continuous和scale_y_continuous来控制x轴和y轴; 通过breaks=seq()控制刻度范围,labels=c()设置刻度内容。...通过在labs()内指定title=设置主标题,x=设置x...
scale_x_continuous等比例函数：用于调整坐标轴的刻度、标签等。重点内容： ggplot函数：创建图形的基础，需要指定数据和映射。 aes函数：定义美学映射，如x轴和y轴变量。 几何对象：如geom_point、geom_line等，用于指定图形的类型。 修改和定制：通过添加层和函数，如color、size、labs和theme等，来修改...
scale_x_discrete(breaks=c("AsstProf","AssocProf","Prof"), labels=c("Assistant\nProfessor", "Associate\nProfessor", "Full\nProfessor")) + scale_y_continuous(breaks=c(50000, 100000, 150000, 200000), labels=c("$50K","$100K","$150K","$200K")) + ...