我想制作一个箱线图,显示行为(警报)花费的时间如何受两个变量的影响(期间=上午/下午和访客级别=高/低)。
Alert ~ Period + Vis.Level
'警报'是一组12个数字,显示用其他两个作为重要分类变量唤醒的时间。我看过其他例子,但似乎都没有适合这类问题。
我知道我要找的图表上会有4个箱图......据说是
任何帮助都会很棒!
Alert Vis.Level Period
1 0.0 Low Morning
2 1.0 Low Morning
3 0.0 Low Morning
4 11.5 Low Afternoon
5 6.0 Low Afternoon
6 11.5 Low Afternoon
7 0.0 High Morning
8 0.0 High Morning
9 0.0 High Morning
10 0.0 High Afternoon
11 2.5 High Afternoon
12 7.5 High Afternoon
答案 0 :(得分:3)
假设您的数据看起来像这样
dd <- structure(list(Alert = c(0, 1, 0, 11.5, 6, 11.5, 0, 0, 0, 0,
2.5, 7.5), Vis.Level = c("Low", "Low", "Low", "Low", "Low", "Low",
"High", "High", "High", "High", "High", "High"), Period = c("Morning",
"Morning", "Morning", "Afternoon", "Afternoon", "Afternoon",
"Morning", "Morning", "Morning", "Afternoon", "Afternoon", "Afternoon"
)), .Names = c("Alert", "Vis.Level", "Period"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"))
然后,您要确保您的因素的顺序正确
dd$Period<-factor(dd$Period, levels=c("Morning","Afternoon"))
dd$Vis.Level<-factor(dd$Vis.Level, levels=c("Low","High"))
然后你可以做
boxplot(Alert~Period+Vis.Level, dd)
或者您可以使用
获得所需的确切布局boxplot(Alert~interaction(Period, Vis.Level, lex.order=T), dd)