SQLDF使用R中的行ID加入
对于下表中的数据结构（peak_refined），我想将列ID与第二个表（'dat'）的唯一行匹配。我更喜欢使用SQLDF软件包，但请参考ROW.NAME。在下面给出的任何指针的测试代码。理想情况下，我希望从表“ dat”的记录1和6中检索“时间”。
表peak_refined
structure(list(IDs = c(1L, 6L, 28L, 31L, 668L, 2841L, 2862L,
2865L, 2906L, 2917L, 2925L, 2957L, 2960L, 2966L, 2984L, 2993L,
3000L)), class = "data.frame", row.names = c("X1", "X2", "X3",
"X4", "X5", "X6", "X7", "X8", "X9", "X10", "X11", "X12", "X13",
"X14", "X15", "X16", "X17"))
表dat：
structure(list(Time=c("2021-06-18 12:36:00", "2021-06-18 12:38:00", "2021-06-18 12:40:00",
“ 2021-06-18 12:42:00”，“ 2021-06-18 12:44:00”，“ 2021-06-- 18 12:46:00“， “ 2021-06-18 12:48:00”，“ 2021-06-18 12:50:00”，“ 2021-06-18 12:52:00”， “ 2021-06-18 12:54:00”））））
[1] "2021-06-18 12:36:00" "2021-06-18 12:38:00" "2021-06-18 12:40:00"
[4] "2021-06-18 12:42:00" "2021-06-18 12:44:00" "2021-06-18 12:46:00"
[7] "2021-06-18 12:48:00" "2021-06-18 12:50:00" "2021-06-18 12:52:00"
[10] "2021-06-18 12:54:00"
测试的代码：
library(sqldf)
sq <- sqldf("SELECT peak_refined.IDs, dat.row.names
FROM peak_refined
INNER JOIN dat
ON peak_refined.IDs = dat.row.names")
For the data structure in the table below (peak_refined) I'd like to match the column ID with the unique row.names of the second table ('dat'). I'd prefer to use the sqldf package but stuck with referencing the row.name. Tested code given below for any pointers. Ideally I expect to retrieve the 'Time' from records 1 and 6 of table 'dat'.
Table peak_refined
structure(list(IDs = c(1L, 6L, 28L, 31L, 668L, 2841L, 2862L,
2865L, 2906L, 2917L, 2925L, 2957L, 2960L, 2966L, 2984L, 2993L,
3000L)), class = "data.frame", row.names = c("X1", "X2", "X3",
"X4", "X5", "X6", "X7", "X8", "X9", "X10", "X11", "X12", "X13",
"X14", "X15", "X16", "X17"))
Table Dat:
structure(list(Time=c("2021-06-18 12:36:00", "2021-06-18 12:38:00", "2021-06-18 12:40:00",
"2021-06-18 12:42:00", "2021-06-18 12:44:00", "2021-06-18 12:46:00",
"2021-06-18 12:48:00", "2021-06-18 12:50:00", "2021-06-18 12:52:00",
"2021-06-18 12:54:00")))
[1] "2021-06-18 12:36:00" "2021-06-18 12:38:00" "2021-06-18 12:40:00"
[4] "2021-06-18 12:42:00" "2021-06-18 12:44:00" "2021-06-18 12:46:00"
[7] "2021-06-18 12:48:00" "2021-06-18 12:50:00" "2021-06-18 12:52:00"
[10] "2021-06-18 12:54:00"
Tested Code:
library(sqldf)
sq <- sqldf("SELECT peak_refined.IDs, dat.row.names
FROM peak_refined
INNER JOIN dat
ON peak_refined.IDs = dat.row.names")
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