合并两个具有不同时间粒度的时间序列

问题描述

我有两个包含时间序列数据的CsV文件.我想将两者合并为一个文件.File1具有1分钟间隔的定期数据. File2具有非周期性的事件触发数据. File2中数据的时间戳可能与File1中数据的时间戳一致，也可能不一致.我想合并两个数据集以创建其时间戳是Data1和Data2的并集的数据集.对于两者都不通用的时间戳，我希望将相应数据集的缺失条目表示为NA.

I have two CsV files containing time series data. I want to merge the two into a single file.File1 has periodic data at 1-minute intervals. File2 has event-triggered data that is not periodic. The timestamps for data in File2 may or may not coincide with data in File1. I want to merge the two datasets to create a dataset whose timestamps are a union of Data1 and Data2. For timestamps that are not common to both, I want the missing entries for the corresponding dataset to be indicated as NA.

这是File1的示例输入:

Here is a sample input for File1:

     Time                 A1  A2
  2013-08-05 00:00:00     2   1
  2013-08-05 00:01:00     2   1
  2013-08-05 00:02:00     1   1

这是File2的示例输入:

Here is a sample input for File2:

     Time               B1     B2       B3
2013-08-01 12:10:21       5     1          1
2013-08-05 00:02:00       5     1          1
2013-08-05 12:13:44      14     1          2

预期输出如下:

  Time                 A1   A2      B1     B2       B3
2013-08-01 12:10:21    NA    NA     5     1          1
2013-08-05 00:00:00    2     1      NA    NA         NA
2013-08-05 00:01:00    2     1      NA    NA         NA
2013-08-05 00:02:00    1      1     5     1          1
2013-08-05 12:13:44    NA    NA     14     1          2

我使用了merge.zoo，还尝试了该论坛中其他相关帖子所建议的merge.xts.但是我没有得到预期的输出.这是我使用的代码.

I used merge.zoo and also tried merge.xts as suggested by other relevant posts in this forum. But I am not getting the expected output. Here is the code I used.

A <- read.zoo(read.csv("File1.csv", header=TRUE));
B <- read.zoo(read.csv("File2.csv", header=TRUE));
C <- merge.zoo(A,B);

希望您能提供任何帮助.谢谢.

I would appreciate any help you can provide. Thank you.

推荐答案

应替换文件中读取的行，如下所示:

The lines that read in the files should be replaced as shown:

> A <- read.zoo("File1.csv", header = TRUE, tz = "", sep = ",")
> B <- read.zoo("File2.csv", header = TRUE, tz = "", sep = ",")
> merge(A, B)
                    A1 A2 B1 B2 B3
2013-08-01 12:10:21 NA NA  5  1  1
2013-08-05 00:00:00  2  1 NA NA NA
2013-08-05 00:01:00  2  1 NA NA NA
2013-08-05 00:02:00  1  1  5  1  1
2013-08-05 12:13:44 NA NA 14  1  2

此处为可复制形式:

Lines1 <- "   Time,                A1,  A2
  2013-08-05 00:00:00,    2,  1
  2013-08-05 00:01:00,    2,  1
  2013-08-05 00:02:00,    1,  1
"

Lines2 <- " Time,              B1,    B2,      B3
2013-08-01 12:10:21,       5,    1,          1
2013-08-05 00:02:00,      5,    1,          1
2013-08-05 12:13:44,     14,    1,          2
"

library(zoo)
A <- read.zoo(text = Lines1, header = TRUE, tz = "", sep = ",")
B <- read.zoo(text = Lines2, header = TRUE, tz = "", sep = ",")
merge(A, B)

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