将每日级别数据汇总到R中的每周级别 [英] Aggregate daily level data to weekly level in R
本文介绍了将每日级别数据汇总到R中的每周级别的处理方法,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
我有一个庞大的数据集,类似于以下可重复的样本数据。
I have a huge dataset similar to the following reproducible sample data.
Interval value
1 2012-06-10 552
2 2012-06-11 4850
3 2012-06-12 4642
4 2012-06-13 4132
5 2012-06-14 4190
6 2012-06-15 4186
7 2012-06-16 1139
8 2012-06-17 490
9 2012-06-18 5156
10 2012-06-19 4430
11 2012-06-20 4447
12 2012-06-21 4256
13 2012-06-22 3856
14 2012-06-23 1163
15 2012-06-24 564
16 2012-06-25 4866
17 2012-06-26 4421
18 2012-06-27 4206
19 2012-06-28 4272
20 2012-06-29 3993
21 2012-06-30 1211
22 2012-07-01 698
23 2012-07-02 5770
24 2012-07-03 5103
25 2012-07-04 775
26 2012-07-05 5140
27 2012-07-06 4868
28 2012-07-07 1225
29 2012-07-08 671
30 2012-07-09 5726
31 2012-07-10 5176
我要汇总将此数据转换为每周水平即可获得类似于以下内容的输出:
I want to aggregate this data to weekly level to get the output similar to the following:
Interval value
1 Week 2, June 2012 *aggregate value for day 10 to day 14 of June 2012*
2 Week 3, June 2012 *aggregate value for day 15 to day 21 of June 2012*
3 Week 4, June 2012 *aggregate value for day 22 to day 28 of June 2012*
4 Week 5, June 2012 *aggregate value for day 29 to day 30 of June 2012*
5 Week 1, July 2012 *aggregate value for day 1 to day 7 of July 2012*
6 Week 2, July 2012 *aggregate value for day 8 to day 10 of July 2012*
如何在不编写冗长代码的情况下轻松实现这一目标?
How do I achieve this easily without writing a long code?
推荐答案
如果您要按周表示值的总和,我认为最简单的方法是转换数据按照GSee的建议将其放入xts对象中:
If you mean the sum of of ‘value’ by week I think the easiest way to do it is to convert the data into a xts object as GSee suggested:
data <- as.xts(data$value,order.by=as.Date(data$interval))
weekly <- apply.weekly(data,sum)
[,1]
2012-06-10 552
2012-06-17 23629
2012-06-24 23872
2012-07-01 23667
2012-07-08 23552
2012-07-10 10902
我将输出的格式留给您练习:-)
I leave the formatting of the output as an exercise for you :-)
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