关于r：ggplot2 geom_smooth中黄土的基本设置是什么？

What is the basic setting for loess in ggplot2 geom_smooth?

编辑：

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x = c(324, 219, 406, 273, 406, 406, 406, 406, 406, 168, 406, 273, 168, 406, 273, 168, 219, 324, 324, 406, 406, 406, 273, 273, 324, 324, 219, 273, 219, 273, 273, 324, 273, 324, 324, 406, 219, 406, 273, 273, 406, 219, 324, 273, 324, 406, 219, 324, 219, 324, 324, 406, 406, 406, 324, 273, 273, 219, 219, 324, 273, 324, 324, 219, 324, 219, 324, 219, 219, 324, 273, 406, 406, 273, 324, 273, 273, 219, 406, 273, 273, 324, 324, 324, 324, 324, 406, 324, 273, 406, 406, 219, 219, 324, 273, 406, 324, 324, 324, 324)
y = c(68,121,NA,87,NA,17,20,15,17,146,25,91,141,24,88,143,120,63,62,16,21,20,83,88,65,63,124,88,120,91,85,65,91,63,69,23,115,23,87,90,20,120,65,90,65,20,120,60,110,60,17,20,20,20,68,80,87,124,121,65,85,67,60,115,60,120,66,121,117,68,90,17,23,90,61,80,88,121,NA,91,88,62,60,70,60,60,27,76,96,23,20,113,118,60,91,23,60,60,65,70)

data = data.frame(x,y)

我用ggplot2和功能geom_smooth()创建以下图形。我使用了代码：

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g = ggplot(data, aes(x,y)) +
geom_point() +
geom_smooth(method="loess") +
geom_smooth(method="lm", col="red")

我的数据包含变量x(只有9个值)和y(公制)。现在，我想添加使用以下代码计算的loess方法的投影点：

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loes = loess(data$y ~ data$x)
RR = sort(unique(predict(loes)), decreasing=TRUE) # y coordinates
LL = unique(x, fromLast=TRUE) # x coordinates

现在我将这些投影点添加到绘图中。

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g + geom_point(aes(y=RR[1], x=LL[1]), col="blue", size=2, shape=18) +
geom_point(aes(y=RR[2], x=LL[2]), col="blue", size=2, shape=18) +
geom_point(aes(y=RR[3], x=LL[3]), col="blue", size=2, shape=18) +
geom_point(aes(y=RR[4], x=LL[4]), col="blue", size=2, shape=18) +
geom_point(aes(y=RR[5], x=LL[5]), col="blue", size=2, shape=18)

为什么ggplot中的蓝点不在蓝黄线上？ loess方法使用的代码是否与R中的标准loess功能不同？

信息：对于我的具有超过8.000个观察值的原始数据，没有伪逆警告，但问题是相同的。

示例图片