r - 如何在ggplot2中绘制加权黄土平滑度？ [复制]

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How to weight smoothing by arbitrary factor in ggplot2?

(2个答案)


2年前关闭。




如何添加尊重另一列重量的黄土平滑石？

假设我有以下data.frame:

    library(ggplot2)

    df <- data.frame(x=seq(1:21))
    df$y <- df$x*0.3 + 10
    df$weight <- 10

    df[6,] <- c(6, 0.1, 1)
    df[7,] <- c(7, 0.1, 1)

    df[13,] <- c(13, 0.1, 1)
    df[14,] <- c(14, 0.1, 1)

    df[20,] <- c(20, 0.1, 1)
    df[21,] <- c(21, 0.1, 1)

    ggplot(data=df, aes(x=x, y=y, size=weight)) + geom_point() + geom_smooth(method=loess, legend=FALSE)

绘制黄土平滑区会带来以下结果:

但是我想使用列权重，以使黄土等于权重为10的每个点都存在10倍:

    df2 <- subset(df, !(x %in% c(6,7,13,14,20,21)))
    df2$weight <- 1

    df3 <- df2
    for(i in seq(1:9)){
      df3 <- rbind(df3, df2)
    }
    df3 <- rbind(df3, c(6, 0.1, 1))
    df3 <- rbind(df3, c(7, 0.1, 1))

    df3 <- rbind(df3, c(13, 0.1, 1))
    df3 <- rbind(df3, c(14, 0.1, 1))

    df3 <- rbind(df3, c(20, 0.1, 1))
    df3 <- rbind(df3, c(21, 0.1, 1))

    ggplot(data=df3, aes(x=x, y=y)) + geom_point() + geom_smooth(method=loess, legend=FALSE)
    # or to demonstrate
    ggplot(data=df3, aes(x=x, y=y)) + geom_jitter() + geom_smooth(method=loess, legend=FALSE)

我找到了函数黄土的参数权重。但是我不知道如何从geom_smooth()调用它。

最佳答案

我想我只需要向aes添加另一个参数:

  ggplot(data=df, aes(x=x, y=y, size=weight, weight=weight)) + geom_point() + geom_smooth(method=loess, legend=FALSE)