How to summarise data by group with weighted mean?

Question

With

xa=aggregate(x$avg,by=list(x$value),FUN=weighted.mean,w=x$weight)

gives me an error

Error in weighted.mean.default(X[[1L]], ...) :    'x' and 'w' must
have the same length

But

weighted.mean(x$avg,w=x$weight);

works fine.

Answer 1

As suggested on an old R thread , you can use by instead:

wt <- c(5,  5,  4,  1)/15
x <- c(3.7,3.3,3.5,2.8)
xx <- data.frame(avg=x, value=gl(2,2), weight=wt)
by(xx, xx$value, function(x) weighted.mean(x$avg, x$weight))

Answer 2

这是一个“给猫剥皮的百万种方法”的问题，这是一个plyr解决方案（使用plyr的示例数据）：

ddply(xx,.(value),summarise, wm = weighted.mean(avg,weight))