我一直在练习和处理包含lubridate数据类型的列的R数据帧，例如我的other question中的示例问题。
现在，我正在尝试等效于联接两个数据帧，但是通过一个数据帧中的一个时间戳是否落在另一数据帧中的interval之内来联接它们。例如：
这是df1：
> glimpse(df1)
Observations: 6,160
Variables: 4
$ upload_id <int> 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, ...
$ site_id <int> 2, 2, 2, 2, 2, 4, 4, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, ...
$ segment_id <int> 1, 2, 3, 4, 5, 1, 2, 1, 2, 3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, ...
$ interval <S4: Interval> 2015-04-12 UTC--2015-04-19 UTC, 2015-04-19 UTC--201...
其中存在一堆lubridate个时间间隔，每个时间间隔都具有upload_id，site_id和segment_id的相应唯一组合。 / p>
这是df2：
> glimpse(df2)
Observations: 32,385
Variables: 3
$ sequence_id <int> 2047, 2067, 2069, 2072, 2075, 2081, 2086, 2091, 2096, 2104,...
$ upload_id <int> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 5, 5,...
$ taken <dttm> 2015-04-11 23:09:59, 2015-04-15 19:17:10, 2015-04-16 07:42...
在taken列中有一系列时间戳，其中sequence_id和upload_id的对应唯一组合。
从本质上讲，我想left_join(df2, df1)在需要的by参数考虑以下两点的情况下：（1）共享的upload_id列； （2）taken中的df2是否落在interval中的df1之内。这是因为对于任何给定的taken，它可能会下降%within%多个interval，反之亦然，所以我想将upload_id用作每个{{ 1}}，这样taken中的每个taken将只与df2中的另一行匹配。在加入操作之后，我希望新数据框具有六列：df1，sequence_id，taken，upload_id，site_id和{{1 }}。怎么能整齐地完成？
编辑：一条评论表明，上载.Rdata文件可能不可信，另一条评论指出，这违反了此处的政策。因此，我删除了.Rdata文件，并尝试通过segment_id获取每个数据帧的300行子集，这里是interval：
dput()这是df1：
structure(list(upload_id = c(1050L, 1582L, 2336L, 2665L, 1007L,
2148L, 275L, 2738L, 1501L, 64L, 2737L, 1547L, 2146L, 2596L, 457L,
2141L, 2790L, 362L, 2835L, 2741L, 575L, 914L, 2820L, 2572L, 2791L,
2157L, 1117L, 1535L, 2738L, 794L, 1335L, 2737L, 2570L, 1597L,
300L, 460L, 1701L, 2142L, 274L, 339L, 2109L, 500L, 2184L, 2837L,
1238L, 2837L, 2727L, 1175L, 1524L, 303L, 1714L, 1412L, 1894L,
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463L, 2697L, 347L, 1531L, 1427L, 2548L, 2218L, 2781L, 1962L,
396L, 234L, 2846L, 4L, 2742L, 2838L, 1676L, 1635L, 2810L, 1990L,
2514L, 2809L, 1354L, 2668L, 2737L, 1606L, 764L, 1176L, 1442L,
519L, 2584L, 1021L, 352L, 2314L, 2662L, 1368L, 1043L, 2207L,
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start = structure(c(1463097600, 1479081600, 1499817600, 1511654400,
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这些子集的问题是我不确定两个子集之间仍然有多少重叠，但是希望会有一些重叠。我试图df2包含另一个的structure(list(sequence_id = c(10545297L, 5696697L, 26853675L,
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), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
-200L), class = c("tbl_df", "tbl", "data.frame"))
，但出现错误：
filter_impl（.data，quo）中的错误：列
filter()类句点 和lubridate的间隔目前不受支持。
对不起，这听起来很复杂，请让我知道是否可以进一步澄清这个问题。感谢您的帮助！
答案 0 :(得分：0)
您可以使用fuzzyjoin软件包：
library(BiocManager)
library(lubridate)
library(fuzzyjoin)
colnames(df2) <- c("sequence_id", "upload_id", "start")
df1$start <- int_start(df1$interval)
df1$end <- int_end(df1$interval)
df2$end <- df2$start
df3 <- interval_inner_join(df1, df2, by=c("start", "end")) # let 1 join with 2