按组汇总所有列

本文介绍了按组汇总所有列的处理方法，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

我很肯定这是一个非常简单的答案，但我似乎无法在多种条件下进行汇总或投射

I'm positive that this is an incredibly easy answer but I can't seem to get my head around aggregating or casting with Multiple conditions

我有一张桌子看起来像这样：

I have a table that looks like this:

> head(df, n=10L) STATE EVTYPE FATALITIES INJURIES 1 AL TORNADO 0 15 3 AL TORNADO 0 2 4 AL TORNADO 0 2 5 AL TORNADO 0 2 6 AL TORNADO 0 6 7 AL TORNADO 0 1 9 AL TORNADO 1 14 11 AL TORNADO 0 3 12 AL TORNADO 0 3 13 AL TORNADO 1 26

显然，这种情况还在继续……我要做的就是崩溃按照STATE和EVTYPE的方法，我正在总结死亡和伤害，因此，如果这10行是我的有效数据集，那么结果将是一个单行数据帧：

Obviously this goes on... What I want to do is to collapse by STATE and EVTYPE Summing Fatalities and Injuries as I go so if these 10 rows were my ful dataset the result would be a single row data frame of:

STATE EVTYPE FATALITIES INJURIES 1 AL TORNADO 2 74

我的完整画面有很多州和很多EVTYPES

My Complete frame has many States and many EVTYPES

推荐答案

您可以尝试

library(dplyr) df %>% group_by(STATE, EVTYPE) %>% summarise_each(funs(sum))

或

aggregate(.~STATE+EVTYPE, df, sum)