y = value,group=NA)) + geom_line() + geom_point() gg %>% ggplot_build() %>% .$...
ggplot(df, aes(x=weight, color=sex, fill=sex)) + geom_histogram(aes(y=..density..), alpha=0.5, position="identity")+ geom_density(alpha=.2) 图9-1 图9-2 其他类形图例可查看:ggplot2 density plot : Quick start guide - R software and data visualization 参考书籍:《GGPlot2 Essentials ...
plot(density(Data2[, 1]), col = "red", main = "2.energy") plot(density(Data3[, 1]), col = "red", main = "3.energy") 1. 2. 3. 4. 脂肪的分布曲线 par(mfrow = c(1,3)) plot(density(Data1[, 3]), col = "red", main = "1.fat") plot(density(Data2[, 3]), col...
3.5 哑铃图(Dumbbell Plot) 4 分布(Distribution) 4.1 直方图(Histogram) 4.3 密度图(Density plot) 4.4 箱形图(Box Plot) 4.5 点+箱形图(Dot + Box Plot) 4.6 簇状箱形图(Tufte Boxplot) ...
使用geom_dotplot()函数来绘制点图: geom_dotplot(mapping = NULL, data = NULL, position ="identity", ..., binwidth= NULL, binaxis ="x", method ="dotdensity", binpositions="bygroup", stackdir ="up", stackratio =1, dotsize=1, stackgroups = FALSE, origin = NULL, right =TRUE, ...
names.arg =means$Group.1, col=c('#BBFFFF','#AEEEEE','#96CDCD','#668B8B'), ylim=c(0,2)) lines(means$x,type = "b",pch=17,lty=2,col="red") #添加线条 #lines(x,y),相当于plot(x,y,type="1")? --- 4 棘状图 count<-table(Arthritis$Treatment,Arthritis$Improved) spine(co...
#分组(group)也是ggplot2种映射关系的一种, 如果需要把观测点按额外的离散变量进行分组处理, 必须修改默认的分组设置。 p1<-ggplot(data=diamond,mapping=aes(x=carat,y=price,group=factor(cut))) p1+geom_boxplot() 注意:不同的几何对象,要求的属性会有些不同,这些属性也可以在几何对象映射时提供,以下语法...
dat02<-read_excel("data/20221014/extendFig5.xlsx", sheet = "Panel d") dat02 %>% colnames() library(tidyverse) dat02 %>% mutate(x=paste0(`Variance Explained by underlying Causal variants (q2)`*100,"%")) %>% group_by(x) %>% summarise(mean_value=mean(`Signal Density Detected`),...
group=carb)) + geom_point(position = "dodge") + geom_density(aes(x=factor(gear),y=n,color=carb)) 但我收到错误: Problem while setting up geom. ℹ Error occurred in the 2nd layer. Caused by error in `compute_geom_1()`:
plot <- ggplot(data = df_sm)+ geom_histogram(aes(x=simul_means, y=..density..), binwidth = 0.20, fill="slategray3", col="black", show.legend = TRUE) plot <- plot + labs(title="Density of 40 Means from Exponential Distribution", x="Mean of 40 Exponential Distributions", y="...