使用同一列中的值绘制折线图

Question

我有一个融化的数据框，其中包含标准 id、变量和值列。变量有 4 个级别。

我想使用 ggplot 使用每个因素的 value 来绘制散点图

为了显示

data.frame(id= gl(4,1,labels=paste("id",1:4,sep="")), variable=gl(4,4,labels=LETTERS[1:4]),value=rnorm(16))

        id variable        value
1  id1        A -0.494270766
2  id2        A  0.189400188
3  id3        A -0.550961030
4  id4        A -1.046945450
5  id1        B -0.525552660
6  id2        B -0.293601677
7  id3        B  0.009664513
8  id4        B -0.214687215
9  id1        C  1.253551926
10 id2        C -1.241847326
11 id3        C -0.307036508
12 id4        C -0.228632605
13 id1        D -1.683798512
14 id2        D -0.419295267
15 id3        D -0.154469178
16 id4        D -0.763460558

我想为每对变量 A vs B、A vs C、A vs D、B vs C 等生成 ggplot 散点图，然后对它们进行平滑处理。

干杯，戴维

Answer 1

这是ggplot2plotmatrix的一个稍微修改过的版本，它可以执行以下操作：

dat <- data.frame(id= gl(4,1,labels=paste("id",1:4,sep="")), variable=gl(4,4,labels=LETTERS[1:4]),value=rnorm(16))

require(reshape2)
dat <- dcast(dat,id~variable)

plotmatrix <- function (data, mapping = aes(), colour = "black") 
{
    grid <- expand.grid(x = 1:ncol(data), y = 1:ncol(data))
    grid <- subset(grid, x != y)
    all <- do.call("rbind", lapply(1:nrow(grid), function(i) {
        xcol <- grid[i, "x"]
        ycol <- grid[i, "y"]
        data.frame(xvar = names(data)[ycol], yvar = names(data)[xcol], 
            x = data[, xcol], y = data[, ycol], data)
    }))
    all$xvar <- factor(all$xvar, levels = names(data))
    all$yvar <- factor(all$yvar, levels = names(data))
    densities <- do.call("rbind", lapply(1:ncol(data), function(i) {
        data.frame(xvar = names(data)[i], yvar = names(data)[i], 
            x = data[, i])
    }))
    densities$xvar <- factor(densities$xvar, levels = names(data))
    densities$yvar <- factor(densities$yvar, levels = names(data))
    mapping <- defaults(mapping, aes_string(x = "x", y = "y"))
    class(mapping) <- "uneval"
    ggplot(all, mapping) + 
        facet_grid(xvar ~ yvar, scales = "free") + 
        geom_point(colour = colour, na.rm = TRUE) + 
        stat_density(aes(x = x,y = ..scaled.. * diff(range(x)) + min(x)), 
            data = densities,position = "identity", colour = "grey20", geom = "line") + 
        geom_smooth(se = FALSE,method = "lm",colour = "blue")
}

plotmatrix(dat[,-1])