y=price,shape=cut))ggplot(data=diamond)+geom_boxplot(aes(x=carat,y=price,group=factor(cut)))ggplot(data=diamond)+geom_point(aes(x=carat,y=price,colour=color,shape=cut)) 注:ggplot2支持图层,可以把不同的图层中共用的映射提供给g
AI代码解释 tmp<-data.frame(cols=paste0("col",1:5),values=seq(20,60,by=10))# 默认图形的底部总是留有空隙 p<-ggplot(tmp,aes(cols,values))+geom_bar(stat="identity")# 只需要使用expand参数即可,非常简单! p1<-p+scale_y_continuous(expand=c(0,0))p+p1 plot of chunk unnamed-chunk-4 ...
ggplot(mpg,aes(x=cty,y=hwy))+geom_point(aes(colour=factor(year)))+stat_smooth(method = lm)+scale_color_manual(values =c('blue','red')) ②改变颜色,通过Accent(调色板) ggplot(mpg,aes(x=cty,y=hwy))+geom_point(aes(colour=factor(year)))+stat_smooth(method = lm)+scale_color_brewer...
ggplot(data = diamond) +geom_boxplot(aes(x=carat, y=price, group=factor(cut))) ggplot(data = diamond) +geom_point(aes(x=carat, y=price, colour=color,shape=cut)) 1. 2. 3. 4. 5. 注:ggplot2支持图层,可以把不同的图层中共用的映射提供给ggplot函数,而某一几何对象才需要的映射参数提供...
dat <- data.frame(x = 1:5, y = 1:5, p = 1:5, q = factor(1:5), r = factor(1:5)) p <- ggplot(dat, aes(x, y, colour = p, size = q, shape = r)) + geom_point() p1 <- p + guides(colour = "colorbar", size = "legend", shape = "legend") ...
ggplot(data=diamond)+geom_boxplot(aes(x=carat,y=price,group=factor(cut))) ggplot(data=diamond)+geom_point(aes(x=carat,y=price,colour=color,shape=cut)) 注:ggplot2支持图层,可以把不同的图层中共用的映射提供给ggplot函数,而某一几何对象才需要的映射参数提供给geom_xxx函数。
set.seed(1234) df <- mtcars[sample(1:nrow(mtcars), 10), ] df$cyl <- as.factor(df$cyl) 1. 2. 3. 散点图注释 # Scatter plot sp <- ggplot(df, aes(x=wt, y=mpg))+ geom_point() # Add text, change colors by groups sp + geom_text(aes(label = rownames(df), color = cyl...
Change ggplot colors by assigning a single colorvalue to the geometry functions (geom_point,geom_bar,geom_line, etc). You can use R color names or hex color codes. Set a ggplot color by groups(i.e. by a factor variable). This is done by mapping a grouping variable to thecoloror to...
color='black') #3.2 变量分组绘图 --将分组变量映射给fill #3.2.1 不使用分面 #position = 'identity' 取消条形堆积进行垂直堆积,很有必要 library("MASS", lib.loc="D:/R/R-3.6.0/library") #str(birthwt) birthwt$smoke<-factor(birthwt$smoke) ...
qplot(carat, ..density.., data= diamonds, facets = color ~., geom="histogram", binwidth = 0.1, xlim = c(0, 3)) data(mpg) qplot(displ, hwy, data= mpg, colour =factor(cyl)) qplot(displ, hwy, data=mpg, facets=.~year) + geom_smooth() ...