我正在尝试扩展数据帧,但是对spread()
和gather()
不太熟悉。
以下是我的数据示例。它有9行,所有行都具有相同的Application.Number
。我想最后以每个Application.Number-Decicion
组合一行。对于每个date_generated
组合,必须重复其余的变量date_decided
time_to_decision
text
和Application.Number-Decicion
,否则应采用最后一个。数据已按Application.Number
和date_generated
排序。
structure(list(Application.Number = c(80749L, 80749L, 80749L,
80749L, 80749L, 80749L, 80749L, 80749L, 80749L), Decision = c("Invalid",
"Invalid", "Invalid", "Invalid", "Invalid", "Invalid", "Approved",
"Approved", "Approved"), date_generated = structure(c(1521810060,
1521810060, 1523523840, 1523536500, 1524036720, 1524136380, 1524137460,
1524137460, 1524137460), class = c("POSIXct", "POSIXt"), tzone = ""),
date_decided = structure(c(1522155960, 1522155660, 1523534400,
1523600520, 1524127140, 1524136740, 1524211800, 1524211740,
1524211200), class = c("POSIXct", "POSIXt"), tzone = ""),
time_to_decision = c(4.00347222222222, 4, 0.122222222222222,
0.740972222222222, 1.04652777777778, 0.00416666666666667,
0.860416666666667, 0.859722222222222, 0.853472222222222),
text = c("rIUQRmOkyZ", "ZxdYUr16NR", "8IIipoleOV", "nLuIgToxcT",
"xYFksrws87", "N2oECMtgQo", "RKcrBcBFI2", "jaH438byVt", "80ggA2hZr7"
)), row.names = 15880:15888, class = "data.frame")
编辑:决定输出应仅一行并且所有行应围绕Application.Number
旋转。
我最终用重复的数据制作了一个单独的数据框,并将其连接回唯一的行。
必须有一种更好的方法。
答案 0 :(得分:1)
可以,但是我同意用户42-的观点,以后由于数据格式会导致问题:
> gather(x, "key", "val", -Application.Number, -Decision)
Application.Number Decision key val
1 80749 Invalid date_generated 1521810060
2 80749 Invalid date_generated 1521810060
3 80749 Invalid date_generated 1523523840
4 80749 Invalid date_generated 1523536500
5 80749 Invalid date_generated 1524036720
6 80749 Invalid date_generated 1524136380
7 80749 Approved date_generated 1524137460
8 80749 Approved date_generated 1524137460
9 80749 Approved date_generated 1524137460
10 80749 Invalid date_decided 1522155960
11 80749 Invalid date_decided 1522155660
12 80749 Invalid date_decided 1523534400
13 80749 Invalid date_decided 1523600520
14 80749 Invalid date_decided 1524127140
15 80749 Invalid date_decided 1524136740
16 80749 Approved date_decided 1524211800
17 80749 Approved date_decided 1524211740
18 80749 Approved date_decided 1524211200
19 80749 Invalid time_to_decision 4.00347222222222
20 80749 Invalid time_to_decision 4
21 80749 Invalid time_to_decision 0.122222222222222
22 80749 Invalid time_to_decision 0.740972222222222
23 80749 Invalid time_to_decision 1.04652777777778
24 80749 Invalid time_to_decision 0.00416666666666667
25 80749 Approved time_to_decision 0.860416666666667
26 80749 Approved time_to_decision 0.859722222222222
27 80749 Approved time_to_decision 0.853472222222222
28 80749 Invalid text rIUQRmOkyZ
29 80749 Invalid text ZxdYUr16NR
30 80749 Invalid text 8IIipoleOV
31 80749 Invalid text nLuIgToxcT
32 80749 Invalid text xYFksrws87
33 80749 Invalid text N2oECMtgQo
34 80749 Approved text RKcrBcBFI2
35 80749 Approved text jaH438byVt
36 80749 Approved text 80ggA2hZr7
Warning:
attributes are not identical across measure variables;
they will be dropped
警告已经暗示:您已将所有值列data_generated
,date_decided
,time_to_decision
和text
转换为可以容纳所有值的最通用数据格式这些值:字符串。查看您的日期如何转换为自时期以来的秒:例如,您丢失了时区信息。
简而言之,您可以做到,但我认为您不应该这样做。因为您没有显示用例或任何上下文,但是我无法提出更好的解决方案。