[英]R: data.table group and sum two columns
Ok, I am stuck with trying to use data.table package to group and sum two separate columns. 好的,我坚持尝试使用data.table包对两个单独的列进行分组和求和。
My DT: 我的DT:
PARK WTG T_stop T_AF
PC 81970 4.743 4.742
PC 81970 48.850 47.462
PC 81970 16.714 0.000
PC 81970 0.121 0.115
PC 81970 0.004 0.004
PC 81970 0.015 0.000
PC 81970 0.049 0.046
PC 81970 0.090 0.090
PC 81970 0.060 0.060
PC 81970 0.163 0.152
Now using the data.table function I have tried: 现在,我尝试使用data.table函数:
DT[, lapply(.SD, sum), by = c("PARK", "WTG")]
but my results look like this: 但是我的结果看起来像这样:
PARK WTG T_stop T_AF
PC 81970 70.808 5.267
What I am looking for is: 我正在寻找的是:
PARK WTG T_stop T_AF
PC 81970 70.808 52.671
Now this is just a snippet of my data set with around 700 rows 现在这只是我的数据集的大约700行的摘要
From your comments it seems like you are getting the desired result but in scientific notation. 从您的评论看来,您似乎正在获得期望的结果,但使用的是科学计数法。 Try rounding to 3 decimals if you want to see it as you say:
如果您想看到的话,尝试四舍五入到小数点后3位:
DT[, lapply(.SD, function(x) round(sum(x), 3)), by = c("PARK", "WTG")]
使用plyr软件包,您可以尝试以下操作:
DT_sum <- ddply(DT, .("PARK","WTG"), colSums)
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