sample_size = data %>% group_by(name) %>% summarize(num=n()) # Plot data %>% left_join(sample_size) %>% mutate(myaxis = paste0(name, "\n", "n=", num)) %>% ggplot( aes(x=myaxis, y=value, fill=name)) + geom_violin(width=1.4) + geom_boxplot(width=0.1, color="gre...
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) ...
函数添加的图形选项geom_bar()条形图color,fill,alphageom_boxplot()箱线图color,fill,alpha,notch,widthgeom_density()核密度图color,fill,alpha,linetypegeom_histogram()直方图color,fill,alpha,linetype,binwidthgeom_hline()水平线条color,alpha,linetype,sizegeom_jitter()抖动点color,size,alpha,shapegeom_lin...
第一部分的添加边际密度示意图。 #---ggExtra:Add marginal density plots---#library(ggplot2)# Create a scatter plotp <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point(aes(color = Species), size = 3, alpha = 0.6) + scale_color_manual(values = c("#00AFBB", "#E7B800",...
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`), sd_value=sd(`Signal Density Detected`)) %>% ungrou...
#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...
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。
plot_title<- paste0("Increase % Distribution") annotate_title<-"Top % Increase"annotate_prefix_1<-"Product A ="annotate_prefix_2<-"Product B ="df_sum<- df %>%group_by(product)%>%summarize(sumFreq=sum(freq))%>%ungroup()%>%select(product,sumFreq) ...
plot_title<- paste0("Increase % Distribution") annotate_title<-"Top % Increase"annotate_prefix_1<-"Product A ="annotate_prefix_2<-"Product B ="df_sum<- df %>%group_by(product)%>%summarize(sumFreq=sum(freq))%>%ungroup()%>%select(product,sumFreq) ...
ggplot2是R语言最流行的第三方扩展包,是RStudio首席科学家Hadley Wickham读博期间的作品,是R相比其他语言一个独领风骚的特点。包名中“gg”是grammar of grap...