decreasing=T), c(1,2,3)] input = melt(data, id='id') input$id = factor(input$id, levels = c(unique(input$id))) result = ggplot(input, aes(x=value, y=id)) + geom_line(aes(group = id)) + geom_point(aes(color = variable), size=4) + theme(legend....
p + geom_point() 2. geom_line() geom_line()函数将所有的数据点按照x轴上变量的顺序连接它们。 用法: geom_line( mapping = NULL, data = NULL, stat = "identity", position = "identity", na.rm = FALSE, orientation = NA, show.legend = NA, inherit.aes = TRUE, ... ) 示例: p <- ...
五、添加连线 geom_line():折线图 ggplot(input,aes(x=Var2,y=value))+geom_boxplot(aes(color=Var2))+labs(x="指标(x轴)",y="值",color="指标(图例)")+theme(panel.grid=element_blank(),panel.background=element_rect(fill='transparent',color='black'))+geom_dotplot(binaxis='y',stackdir...
ggsave('pic2.png', width = 10, height = 4) 这里优化了分面绘图主题,此外需要注意添加图层的顺序:geom_boxplot → geom_line → geom_point; 此外:geom_boxplot(outlier.size = 0.5) 和 geom_point(size = 0.5) 这两个函数中散点大小需要保持一致。 Step5:配对小提琴图 ggplot(data, aes(x = Gro...
As you can see based on Table 1, our example data is a data frame composed of five observations and three columns with the names “group”, “sample”, and “responses”. Let’s assume that we want to create a ggplot2 barchart with a line on top, where the bars represent the sample...
In a recent tutorial in the eLife journal, Huang, Rattner, Liu & Nathans suggested that researchers who draw scatterplots should start providing not one but three regression lines. I quote, Plotting both regression lines gives a fuller picture of the dat
Line graphsFor line graphs, the data points must be grouped so that it knows which points to connect. In this case, it is simple – all points should be connected, so group=1. When more variables are used and multiple lines are drawn, the grouping for lines is usually done by variable...
If you wish to connect these points using geom_segment() with an arrow, the output is a little ugly, as the lines intersect the points:sg.tbl <- tibble(x = c(0.25, 0.5), y = c(0.25, 0.5), xend = c(0.5, 0.75), yend = c(0.5, 0.75)) ggplot(pt.tbl) + geom_point(aes(x...
This post explains how to add an error envelop around a line chart using ggplot2 and the geom_ribbon() function.
geom: 图形的几何类型(geometry),这又是ggplot2的作图概念。ggplot2用几何类型表示图形类别,比如point表示散点图、line表示曲线图、bar表示柱形图等。 stat: 统计类型(statistics),这个更加特殊。直接将数据统计和图形结合,这是ggplot2强大和受欢迎的原因之一。