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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)更多推荐
按组汇总所有列
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