本文介绍了如何将不同的聚合函数应用于R中的不同列?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
如何将不同的聚合函数应用于R中的不同列? aggregate()函数仅提供一个要传递的函数参数:
How can I apply different aggregate functions to different columns in R? The aggregate() function only offers one function argument to be passed:
V1 V2 V3 1 18.45022 62.24411694 2 90.34637 20.86505214 1 50.77358 27.30074987 2 52.95872 30.26189013 1 61.36935 26.90993530 2 49.31730 70.60387016 1 43.64142 87.64433517 2 36.19730 83.47232907 1 91.51753 0.03056485 ... ... ... > aggregate(sample,by=sample["V1"],FUN=sum) V1 V1 V2 V3 1 1 10 578.5299 489.5307 2 2 20 575.2294 527.2222如何将 different 函数应用于每列,即,将V2与mean()函数聚合,将V2与sum()函数聚合,而无需多次调用aggregate() ?
How can I apply a different function to each column, i.e. aggregate V2 with the mean() function and V2 with the sum() function, without calling aggregate() multiple times?
推荐答案对于该任务,我将在plyr
> library(plyr) > ddply(sample, .(V1), summarize, V2 = sum(V2), V3 = mean(V3)) V1 V2 V3 1 1 578.5299 48.95307 2 2 575.2294 52.72222更多推荐
如何将不同的聚合函数应用于R中的不同列?
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