ggplot(a,aes(x=variable,y=value,fill=Age))+geom_bar(stat='identity')+facet_wrap(~Age) If you want to visualize separately the TDX and the DX entries, we'll need to change the dataframe a bit. >head(a)Age variable value10-2Year.10.DX26.8648923-9Year.10.DX30.48774310-19Year.10.DX...
I have got a question about creating a stacked barplot in R with ggplot2. What I want to create is a stacked bar plot in which every bar is placed "on top" of the other. x = c(100,200,400,600,800,1000,1250,1500) y1 = c(1,2,3,4,5,6,7,8) y2 = c(8,7,6,5,4,3...
条形图(bar plot)是用一定宽度和高度的矩形表示各类别频数多少的图形 主要用于展示类别变量数据的频数分布 绘制条形图时,各类别可以放在X轴(横轴),也可以放在Y轴(纵轴) 类别放在X轴的条形图称为垂直条形图(vertical bar plot)或柱形图,类别放在Y轴的条形图称为水平条形图(horizontal bar plot) data3_1 <- rea...
4. 绘制堆积柱形图 接下来,我们将使用ggplot2包绘制堆积柱形图。这里选择aes()函数定义x轴、y轴和填充色等。 # 绘制堆积柱形图ggplot(new_data,aes(x=factor(cyl),y=count,fill=factor(am)))+geom_bar(stat="identity")+labs(title="堆积柱形图示例",x="气缸数",y="汽车数量",fill="驱动类型")+them...
##'@导入所需的R包 library(readxl) library(ggplot2) ##'@导入数据 SV_plot <- read_excel("20241126_datainput.xlsx", sheet = 1) head(SV_plot) ## 绘图 ggplot(SV_plot, aes(fill=Variable, y=Value, x=Species, label = Value)) + geom_bar(position="stack", stat="identity")+ #'@添...
aes(x, y1)) + geom_point() + labs(title = "点图1") # 创建第二个点图 plot2 <- ggplot(data, aes(x, y2)) + geom_point() + labs(title = "点图2") # 堆叠两个点图 stacked_plot <- plot1 + plot2 + facet_wrap(~ title, nrow = 2) # 显示堆叠后的图形 print(stacked_plot...
ggplot2 作图 代码语言:javascript 复制 library(ggplot2)library(stringr)library(ggprism)x_level<-paste(df$Group1,df$Group2,sep="_")x_level df1$group<-str_sub(df1$new_col,5,7)df1$new_col<-factor(df1$new_col,levels=x_level)ggplot(df1,aes(x=new_col,y=value))+stat_boxplot(geom="err...
ggplot(singer, aes(x=voice.part, y=height)) + geom_boxplot() 图19-5 按发音分的歌手的身高的箱线图 可以看出,低音歌唱家比高音歌唱家身高更高。 创建直方图时只有变量x是指定的,但创建箱线图时变量x和y都需要指定。 geom_histgrom()函数在y变...
如果上述表格用棘状图可视化的ggplot2代码如下：ggplot(plot_df, aes(x = cyl, y = freq, fill =...
p1<- ggplot(self, aes(x=type, y=Ka_Ks, fill = type)) + geom_boxplot() + scale_fill_manual(values=c("#E64B35FF", "#4DBBD5FF", "#00A087FF")) + geom_dotplot(binaxis='y', stackdir='center', stackratio=1.5, dotsize=0.5) + ...