我有一个Database,并想使用stat_smooth显示一个图形。
我可以显示avg_time与Scored_Probabilities数字,如下所示:
c <- ggplot(dataset1, aes(x=Avg.time, y=Scored.Probabilities))
c + stat_smooth()
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9ZQTdGNy5wbmcifQ==” alt =“在此处输入图像描述”>
但是将平均时间更改为时间或年龄时,会发生错误:
c <- ggplot(dataset1, aes(x=Age, y=Scored.Probabilities))
c + stat_smooth()
error: geom_smooth: Only one unique x value each group. Maybe you want aes(group = 1)?
我该如何解决?
错误消息说要设置group=1
,这样做会产生另一个错误
ggplot(dataset1, aes(x=Age, y=Scored.Probabilities, group=1))+stat_smooth()
geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
Error in smooth.construct.cr.smooth.spec(object, data, knots) :
x has insufficient unique values to support 10 knots: reduce k.
现在唯一的x
值的数量还不够。
所以有两个解决方案:i)使用mean
之类的另一个功能,ii)使用抖动使年龄略微移动。
ggplot(dataset1, aes(x=Age, y=Scored.Probabilities, group=1))+
geom_point()+
stat_summary(fun.y=mean, colour="red", geom="line", size = 3) # draw a mean line in the data
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9ZVDRmTy5qcGcifQ==” alt =“在此处输入图像描述”>
或
ggplot(dataset1, aes(x=jitter(as.numeric(as.character(Age))), y=Scored.Probabilities, group=1))+
geom_point()+stat_smooth()
请注意as.numeric
的使用,因为Age
是一个因素。
<< img src =“ https://image.soinside.com/eyJ1cmwiOiAiaHR0cHM6Ly9pLnN0YWNrLmltZ3VyLmNvbS9QQkxxUS5qcGcifQ==” alt =“在此处输入图像描述”>