列を列として使用して表を変換する

Question

> data 
      timestamps diff  time date 
1 2017-09-01 00:00:00 0.000 00:00:00 01 
2 2017-09-01 01:00:00 0.000 01:00:00 01 
3 2017-09-01 02:00:00 0.000 02:00:00 01 
4 2017-09-01 03:00:00 0.000 03:00:00 01 
5 2017-09-01 04:00:00 0.000 04:00:00 01 
6 2017-09-01 05:00:00 0.000 05:00:00 01 
7 2017-09-01 06:00:00 0.000 06:00:00 01 
8 2017-09-01 07:00:00 1.048 07:00:00 01 
9 2017-09-01 08:00:00 4.932 08:00:00 01 
10 2017-09-01 09:00:00 6.220 09:00:00 01 
11 2017-09-01 10:00:00 4.296 10:00:00 01 
12 2017-09-01 11:00:00 3.968 11:00:00 01 
13 2017-09-01 12:00:00 4.440 12:00:00 01 
14 2017-09-01 13:00:00 4.688 13:00:00 01 
15 2017-09-01 14:00:00 4.784 14:00:00 01 
16 2017-09-01 15:00:00 6.452 15:00:00 01 
17 2017-09-01 16:00:00 4.952 16:00:00 01 
18 2017-09-01 17:00:00 6.096 17:00:00 01 
19 2017-09-01 18:00:00 5.120 18:00:00 01 
20 2017-09-01 19:00:00 6.356 19:00:00 01 
21 2017-09-01 20:00:00 3.324 20:00:00 01 
22 2017-09-01 21:00:00 0.000 21:00:00 01 
23 2017-09-01 22:00:00 0.000 22:00:00 01 
24 2017-09-01 23:00:00 0.000 23:00:00 01 
25 2017-09-02 00:00:00 0.532 00:00:00 02 
26 2017-09-02 01:00:00 7.780 01:00:00 02 
27 2017-09-02 02:00:00 6.944 02:00:00 02 
28 2017-09-02 03:00:00 6.880 03:00:00 02 
29 2017-09-02 04:00:00 7.736 04:00:00 02 
30 2017-09-02 05:00:00 5.732 05:00:00 02 
31 2017-09-02 06:00:00 6.316 06:00:00 02 
32 2017-09-02 07:00:00 6.896 07:00:00 02 
33 2017-09-02 08:00:00 6.440 08:00:00 02 
34 2017-09-02 09:00:00 6.036 09:00:00 02 
35 2017-09-02 10:00:00 6.020 10:00:00 02 
36 2017-09-02 11:00:00 7.084 11:00:00 02 
37 2017-09-02 12:00:00 4.692 12:00:00 02 
38 2017-09-02 13:00:00 0.000 13:00:00 02 
39 2017-09-02 14:00:00 0.000 14:00:00 02 
40 2017-09-02 15:00:00 0.000 15:00:00 02 
41 2017-09-02 16:00:00 0.000 16:00:00 02 
42 2017-09-02 17:00:00 0.000 17:00:00 02 
43 2017-09-02 18:00:00 0.000 18:00:00 02 
44 2017-09-02 19:00:00 0.000 19:00:00 02 
45 2017-09-02 20:00:00 0.000 20:00:00 02 
46 2017-09-02 21:00:00 0.000 21:00:00 02 
47 2017-09-02 22:00:00 0.000 22:00:00 02 
48 2017-09-02 23:00:00 0.000 23:00:00 02 
49 2017-09-03 00:00:00 0.000 00:00:00 03 
50 2017-09-03 01:00:00 0.000 01:00:00 03 
51 2017-09-03 02:00:00 0.000 02:00:00 03 
52 2017-09-03 03:00:00 0.000 03:00:00 03 
53 2017-09-03 04:00:00 0.000 04:00:00 03 
54 2017-09-03 05:00:00 0.000 05:00:00 03 
55 2017-09-03 06:00:00 0.000 06:00:00 03 
56 2017-09-03 07:00:00 0.000 07:00:00 03 
57 2017-09-03 08:00:00 2.080 08:00:00 03 
58 2017-09-03 09:00:00 5.388 09:00:00 03 
59 2017-09-03 10:00:00 5.588 10:00:00 03 
60 2017-09-03 11:00:00 8.064 11:00:00 03 
61 2017-09-03 12:00:00 8.000 12:00:00 03 
62 2017-09-03 13:00:00 7.108 13:00:00 03 
63 2017-09-03 14:00:00 7.568 14:00:00 03 
64 2017-09-03 15:00:00 7.276 15:00:00 03 
65 2017-09-03 16:00:00 7.316 16:00:00 03 
66 2017-09-03 17:00:00 8.860 17:00:00 03 
67 2017-09-03 18:00:00 7.508 18:00:00 03 
68 2017-09-03 19:00:00 7.368 19:00:00 03 
69 2017-09-03 20:00:00 7.580 20:00:00 03 
70 2017-09-03 21:00:00 7.132 21:00:00 03 
71 2017-09-03 22:00:00 8.672 22:00:00 03 
72 2017-09-03 23:00:00 6.588 23:00:00 03 
73 2017-09-04 00:00:00 7.676 00:00:00 04 
74 2017-09-04 01:00:00 7.204 01:00:00 04 
75 2017-09-04 02:00:00 6.624 02:00:00 04 
76 2017-09-04 03:00:00 3.644 03:00:00 04 
77 2017-09-04 04:00:00 0.000 04:00:00 04 
78 2017-09-04 05:00:00 0.000 05:00:00 04 
79 2017-09-04 06:00:00 0.000 06:00:00 04 
80 2017-09-04 07:00:00 0.000 07:00:00 04 
81 2017-09-04 08:00:00 0.000 08:00:00 04 
82 2017-09-04 09:00:00 0.000 09:00:00 04 
83 2017-09-04 10:00:00 0.000 10:00:00 04 
84 2017-09-04 11:00:00 0.000 11:00:00 04 
85 2017-09-04 12:00:00 0.000 12:00:00 04 
86 2017-09-04 13:00:00 0.000 13:00:00 04 
87 2017-09-04 14:00:00 0.000 14:00:00 04 
88 2017-09-04 15:00:00 0.000 15:00:00 04 
89 2017-09-04 16:00:00 0.000 16:00:00 04 
90 2017-09-04 17:00:00 0.000 17:00:00 04 
91 2017-09-04 18:00:00 0.000 18:00:00 04 
92 2017-09-04 19:00:00 0.000 19:00:00 04 
93 2017-09-04 20:00:00 0.000 20:00:00 04 
94 2017-09-04 21:00:00 0.000 21:00:00 04 
95 2017-09-04 22:00:00 0.000 22:00:00 04 
96 2017-09-04 23:00:00 0.000 23:00:00 04 
97 2017-09-05 00:00:00 0.000 00:00:00 05 
98 2017-09-05 01:00:00 0.000 01:00:00 05 
99 2017-09-05 02:00:00 0.000 02:00:00 05 
100 2017-09-05 03:00:00 0.000 03:00:00 05 
101 2017-09-05 04:00:00 0.000 04:00:00 05 
102 2017-09-05 05:00:00 0.000 05:00:00 05 
103 2017-09-05 06:00:00 0.000 06:00:00 05 
104 2017-09-05 07:00:00 0.000 07:00:00 05 
105 2017-09-05 08:00:00 0.000 08:00:00 05 
106 2017-09-05 09:00:00 0.000 09:00:00 05 
107 2017-09-05 10:00:00 0.000 10:00:00 05 
108 2017-09-05 11:00:00 0.000 11:00:00 05 
109 2017-09-05 12:00:00 0.000 12:00:00 05 
110 2017-09-05 13:00:00 0.000 13:00:00 05 
111 2017-09-05 14:00:00 0.000 14:00:00 05 
112 2017-09-05 15:00:00 0.000 15:00:00 05 
113 2017-09-05 16:00:00 0.000 16:00:00 05 
114 2017-09-05 17:00:00 0.000 17:00:00 05 
115 2017-09-05 18:00:00 0.000 18:00:00 05 
116 2017-09-05 19:00:00 0.000 19:00:00 05 
117 2017-09-05 20:00:00 0.000 20:00:00 05 
118 2017-09-05 21:00:00 0.000 21:00:00 05 
119 2017-09-05 22:00:00 0.000 22:00:00 05 
120 2017-09-05 23:00:00 0.000 23:00:00 05 
121 2017-09-06 00:00:00 0.000 00:00:00 06 
122 2017-09-06 01:00:00 0.000 01:00:00 06 
123 2017-09-06 02:00:00 0.000 02:00:00 06 
124 2017-09-06 03:00:00 0.000 03:00:00 06 
125 2017-09-06 04:00:00 0.000 04:00:00 06 
126 2017-09-06 05:00:00 0.000 05:00:00 06 
127 2017-09-06 06:00:00 0.000 06:00:00 06 
128 2017-09-06 07:00:00 0.000 07:00:00 06 
129 2017-09-06 08:00:00 0.000 08:00:00 06 
130 2017-09-06 09:00:00 0.000 09:00:00 06 
131 2017-09-06 10:00:00 6.164 10:00:00 06 
132 2017-09-06 11:00:00 6.780 11:00:00 06 
133 2017-09-06 12:00:00 8.212 12:00:00 06 
134 2017-09-06 13:00:00 5.620 13:00:00 06 
135 2017-09-06 14:00:00 4.916 14:00:00 06 
136 2017-09-06 15:00:00 1.828 15:00:00 06 
137 2017-09-06 16:00:00 6.540 16:00:00 06 
138 2017-09-06 17:00:00 7.704 17:00:00 06 
139 2017-09-06 18:00:00 6.272 18:00:00 06 
140 2017-09-06 19:00:00 4.656 19:00:00 06 
141 2017-09-06 20:00:00 5.840 20:00:00 06 
142 2017-09-06 21:00:00 6.648 21:00:00 06 
143 2017-09-06 22:00:00 8.112 22:00:00 06 
144 2017-09-06 23:00:00 7.392 23:00:00 06 
145 2017-09-07 00:00:00 7.888 00:00:00 07 
146 2017-09-07 01:00:00 7.680 01:00:00 07 
147 2017-09-07 02:00:00 8.112 02:00:00 07 
148 2017-09-07 03:00:00 7.408 03:00:00 07 
149 2017-09-07 04:00:00 8.048 04:00:00 07 
150 2017-09-07 05:00:00 8.560 05:00:00 07 
151 2017-09-07 06:00:00 5.680 06:00:00 07 
152 2017-09-07 07:00:00 8.048 07:00:00 07 
153 2017-09-07 08:00:00 7.744 08:00:00 07 
154 2017-09-07 09:00:00 7.896 09:00:00 07 
155 2017-09-07 10:00:00 7.424 10:00:00 07 
156 2017-09-07 11:00:00 8.800 11:00:00 07 
157 2017-09-07 12:00:00 8.536 12:00:00 07 
158 2017-09-07 13:00:00 7.176 13:00:00 07 
159 2017-09-07 14:00:00 7.888 14:00:00 07 
160 2017-09-07 15:00:00 6.768 15:00:00 07 
161 2017-09-07 16:00:00 5.952 16:00:00 07 
162 2017-09-07 17:00:00 6.656 17:00:00 07 
163 2017-09-07 18:00:00 7.560 18:00:00 07 
164 2017-09-07 19:00:00 5.960 19:00:00 07 
165 2017-09-07 20:00:00 7.536 20:00:00 07 
166 2017-09-07 21:00:00 5.704 21:00:00 07 
167 2017-09-07 22:00:00 4.200 22:00:00 07 
168 2017-09-07 23:00:00 6.000 23:00:00 07 
169 2017-09-08 00:00:00 5.392 00:00:00 08 
170 2017-09-08 01:00:00 7.376 01:00:00 08 
171 2017-09-08 02:00:00 8.000 02:00:00 08 
172 2017-09-08 03:00:00 5.824 03:00:00 08 
173 2017-09-08 04:00:00 7.136 04:00:00 08 
174 2017-09-08 05:00:00 7.496 05:00:00 08 
175 2017-09-08 06:00:00 8.528 06:00:00 08 
176 2017-09-08 07:00:00 7.576 07:00:00 08 
177 2017-09-08 08:00:00 5.616 08:00:00 08 
178 2017-09-08 09:00:00 7.312 09:00:00 08 
179 2017-09-08 10:00:00 8.648 10:00:00 08 
180 2017-09-08 11:00:00 7.488 11:00:00 08 
181 2017-09-08 12:00:00 7.000 12:00:00 08 
182 2017-09-08 13:00:00 6.008 13:00:00 08 
183 2017-09-08 14:00:00 8.320 14:00:00 08 
184 2017-09-08 15:00:00 6.944 15:00:00 08 
185 2017-09-08 16:00:00 9.144 16:00:00 08 
186 2017-09-08 17:00:00 7.184 17:00:00 08 
187 2017-09-08 18:00:00 7.800 18:00:00 08 
188 2017-09-08 19:00:00 7.800 19:00:00 08 
189 2017-09-08 20:00:00 8.960 20:00:00 08 
190 2017-09-08 21:00:00 6.040 21:00:00 08 
191 2017-09-08 22:00:00 7.104 22:00:00 08 
192 2017-09-08 23:00:00 8.312 23:00:00 08 
193 2017-09-09 00:00:00 5.648 00:00:00 09 
194 2017-09-09 01:00:00 7.992 01:00:00 09 
195 2017-09-09 02:00:00 8.360 02:00:00 09 
196 2017-09-09 03:00:00 6.792 03:00:00 09 
197 2017-09-09 04:00:00 9.120 04:00:00 09 
198 2017-09-09 05:00:00 5.816 05:00:00 09 
199 2017-09-09 06:00:00 6.408 06:00:00 09 
200 2017-09-09 07:00:00 8.992 07:00:00 09 
201 2017-09-09 08:00:00 7.576 08:00:00 09 
202 2017-09-09 09:00:00 8.456 09:00:00 09 
203 2017-09-09 10:00:00 5.984 10:00:00 09 
204 2017-09-09 11:00:00 8.680 11:00:00 09 
205 2017-09-09 12:00:00 7.896 12:00:00 09 
206 2017-09-09 13:00:00 5.184 13:00:00 09 
207 2017-09-09 14:00:00 7.288 14:00:00 09 
208 2017-09-09 15:00:00 7.840 15:00:00 09 
209 2017-09-09 16:00:00 9.024 16:00:00 09 
210 2017-09-09 17:00:00 6.968 17:00:00 09 
211 2017-09-09 18:00:00 8.224 18:00:00 09 
212 2017-09-09 19:00:00 7.720 19:00:00 09 
213 2017-09-09 20:00:00 7.728 20:00:00 09 
214 2017-09-09 21:00:00 8.152 21:00:00 09 
215 2017-09-09 22:00:00 8.400 22:00:00 09 
216 2017-09-09 23:00:00 5.872 23:00:00 09 
217 2017-09-10 00:00:00 5.104 00:00:00 10 
218 2017-09-10 01:00:00 5.520 01:00:00 10 
219 2017-09-10 02:00:00 8.712 02:00:00 10 
220 2017-09-10 03:00:00 7.808 03:00:00 10 
221 2017-09-10 04:00:00 8.688 04:00:00 10 
222 2017-09-10 05:00:00 8.312 05:00:00 10 
223 2017-09-10 06:00:00 6.688 06:00:00 10 
224 2017-09-10 07:00:00 5.200 07:00:00 10 
225 2017-09-10 08:00:00 8.304 08:00:00 10 
226 2017-09-10 09:00:00 4.072 09:00:00 10 
227 2017-09-10 10:00:00 9.144 10:00:00 10 
228 2017-09-10 11:00:00 6.576 11:00:00 10 
229 2017-09-10 12:00:00 7.248 12:00:00 10 
230 2017-09-10 13:00:00 6.104 13:00:00 10 
231 2017-09-10 14:00:00 6.408 14:00:00 10 
232 2017-09-10 15:00:00 9.224 15:00:00 10 
233 2017-09-10 19:00:00 9.000 19:00:00 10 
234 2017-09-10 21:00:00 7.944 21:00:00 10 
235 2017-09-10 22:00:00 8.736 22:00:00 10 
246 2017-09-10 23:00:00 8.904 23:00:00 10 

タイムスタンプと差分値を持つデータがあります。このテーブルを変換すると、日は列（1,2,3 ..）、行の時刻（00:00:00、01:00:00、02:00:00 ...）になります。だから私は日時を別々に取り除いた。しかし、私はこれを変換する方法に固執しています。私は私のテーブルには、（例えば、10日が欠落している時間16,17,19,20）で数時間は、いくつかの日付に失われますことに留意すべきである

time 1  2  3 
0:00:00 0  0.532 0 
1:00:00 0  7.78 0 
2:00:00 0  6.944 0 
3:00:00 0  6.88 0 
4:00:00 0  7.736 0 
5:00:00 0  5.732 0 
6:00:00 0  6.316 0 
7:00:00 1.048 6.896 0 
8:00:00 4.932 6.44 2.08 
9:00:00 6.22 6.036 5.388 
10:00:00 4.296 6.02 5.588 
11:00:00 3.968 7.084 8.064 

このような何かになりたいです。何か助けていただければ幸いです。ありがとうございました

Answer 1

library(dplyr) 
df2 <- spread(df, day, diff)