跨数据帧的所有行的平均列值 [英] average column values across all rows of a data frame
本文介绍了跨数据帧的所有行的平均列值的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个从这样的文件中读取的数据框:
I've got a data frame that I read from a file like this:
name, points, wins, losses, margin
joe, 1, 1, 0, 1
bill, 2, 3, 0, 4
joe, 5, 2, 5, -2
cindy, 10, 2, 3, -2.5
等。
我想在这个数据的所有行中平均列数值,在R中是否有一个简单的方法?
I want to average out the column values across all rows of this data, is there an easy way to do this in R?
例如,我想得到所有Joe的平均列值出现如下:
For example, I want to get the average column values for all "Joe's", coming out with something like
joe, 3, 1.5, 2.5, -.5
推荐答案
加载数据后:
df <- structure(list(name = structure(c(3L, 1L, 3L, 2L), .Label = c("bill", "cindy", "joe"), class = "factor"), points = c(1L, 2L, 5L, 10L), wins = c(1L, 3L, 2L, 2L), losses = c(0L, 0L, 5L, 3L), margin = c(1, 4, -2, -2.5)), .Names = c("name", "points", "wins", "losses", "margin"), class = "data.frame", row.names = c(NA, -4L))
只需使用聚合
function: / p>
Just use the aggregate
function:
> aggregate(. ~ name, data = df, mean)
name points wins losses margin
1 bill 2 3.0 0.0 4.0
2 cindy 10 2.0 3.0 -2.5
3 joe 3 1.5 2.5 -0.5
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