ggplot(sunspotyear,aes(Year,Sunspots)) + geom_area() # change fill color and alpha ggplot(sunspotyear,aes(Year,Sunspots)) + geom_area(colour = "black",fill = "blue",alpha = .2) 然后我们看一下数据内有分组情况下的作图 library(ggplot2) #read in data data = read.table("area_plot2.t...
frame(group, values) #绘图 ggplot(data_ggp, aes(x = group, y = values)) + geom_bar(stat = "identity") 2.6 用plotly作图 #下载和加载包 install.packages("plotly") library("plotly") #绘图 plot_ly(x = group, y = values, type = "bar") 三、进阶画图 3.1 水平柱状图 和刚刚的初阶...
基础绘图包中的高级绘图函数,包括:plot()泛型函数(generic method)、boxplot()盒型图、barplot()条形图、hist()直方图或金字塔图、pie()饼图、dotchart()克利夫兰点图和coplot()条件图等(后两个有些冷门)。这里有一个实践过程中容易混淆的地方:大部分par()函数的参数(即:函数中的参数,不是低级绘图函数)不仅...
p <- ggplot(data, aes(x = group, y = value)) + geom_bar(stat = "identity", fill = "lightblue") + # 绘制柱状图 geom_hline(yintercept = mean_value, color = "red", linetype = "dashed") + # 绘制均值线 labs(title = "Mean Bar Plot", x = "Group", y = "Value") # 添加...
ggplot(Arthritis,aes(x=Treatment,fill=Improved))+ geom_bar(position = 'dodge') #复杂一点(调整图例位置) opar<-par(no.readonly=T) par(mar=c(5,5,4,2)) #自定义图形边界,默认c(5,4,4,2) par(las=2) #定义标签垂直于坐标轴 par(cex.axis=0.75) #定义坐标轴文字缩放倍数 ...
问题:barplot 18.5.16 怎么绘制 barplot,用两种方式:基础绘图 & ggplot2解决方案: 基础绘图 # main,sub:图的整体和分标题。 xlab和ylab:设置x轴与y轴的lable。xlim和ylim:设置图形x轴与y轴的范围。 axes:逻辑参数。设置图形
使用ggplot创建基本图层，设置条形图的填充颜色，并绘制带误差线的条图：{r} p <- ggplot(data, aes(x = lable, y = mean, fill = group)) + scale_fill_manual(values=c("#F0E442", "#D55E00")) + geom_bar(stat = "identity", color="black", width = 0.55, position = ...
2 p4<-ggplot()+ geom_errorbar(data=dat02.1, aes(x=x, ymin=mean_value-0.1, ymax=mean_value+sd_value), width=0.3, color="#e27765")+ geom_col(data=dat02.1, aes(x=x,y=mean_value), fill="#daa421")+ geom_point(data=dat02.2, aes(x=x,y=`Signal Density Detected`), color...
Stacked Bar Graph Labels with ggplot2 Adding labels to ggplot bar chart What I did wrong initially, was pass theposition = "fill"parameter togeom_bar(), which for some reason made all the bars have the same height! r ggplot2 Share ...
设置scalebar颜色,值域,反向 scale_colour_gradient(low="red",high="blue",limit=c(min(data$p.adjust),max(data$p.adjust)),guide=guide_colourbar(reverse=TRUE)) 修改图例标题 guides(fill = guide_legend(title = "pvalue")) 设置文本 p <- theme(plot.title = element_text(color = "black", ...