xyplot中的多个ablines [英] Multiple ablines in xyplot

问题描述

我有一个长"数据帧，定义为:

I have a "long" dataframe defined as:

q <- data.frame(Indicator.Code=factor(),Year=numeric(),Value=numeric())

并尝试在单个xyplot中将值作为年份的函数针对每个不同的Indicator.Code，如下所示

and am trying to plot in a single xyplot the values as a function of the year, for each different Indicator.Code, as follows

xyplot( Value~Year,data=q,group=Indicator.Code)

到目前为止，太好了.现在，我尝试添加与线性回归相对应的行

So far, so good. Now I am trying to add lines corresponding to the linear regressions

rlm(q$Value[q$Indicator.Code==a]~q$Year[q$Indicator.Code==a])

Indicator.Code的所有值.

我不知道该怎么做.添加回归线的常用方法，即

I do not know how to do it. The usual way to add regression lines, i.e

xyplot( Value~Year,data=q,group=Indicator.Code),
panel = function(x, y) {
  panel.xyplot(x, y)
  panel.abline(rlm(y ~ x))
}))

无法正常工作(它为整个数据集计算了一次回归，并添加了一条回归线).此外，我已经计算了回归(除了图形以外，我也需要回归)，并且讨厌必须重新计算回归的想法.

does not work properly (it computes a single regression, and adds a single regression line, for the whole dataset). Besides, I have already computed the regressions (I need them for things other than graphics too), and hate the idea of having to recompute them.

有人暗示新手可以跟进吗?

Any hints a novice could follow?

推荐答案

对于为每个group绘制单独符号的自定义面板函数，点阵要求您将实际的面板函数包装在对panel.superpose()的调用中.这是一个使用mtcars data.frame中的数据的示例.

For a customized panel function that plots separate symbols for each group, lattice requires that you wrap the actual panel function in a call to panel.superpose(). Here's an example, using data in the mtcars data.frame.

library(lattice)
library(MASS)

myPanel <- function(x,y,...) {
    panel.xyplot(x,y,...)
    panel.abline(rlm(y~x), ...)
}

xyplot(mpg~disp, group = cyl, data = mtcars,
       panel = function(...) panel.superpose(panel.groups = myPanel, ...))

## Or, equivalently:
xyplot(mpg~disp, group = cyl, data = mtcars, 
       panel = panel.superpose, panel.groups = myPanel)

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