Convertir la table à l'aide de colonnes en tant que lignes dans r

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 

J'ai une donnée qui a des horodatages et des valeurs diff. Je voudrais convertir cette table telle que, les jours sont des colonnes (1,2,3 ..) et des valeurs de temps en tant que lignes (00:00:00, 01:00:00, 02:00:00 ...). J'ai donc dépouillé la date et l'heure séparément. Mais je suis coincé comment convertir cela. Je veux que ma table pour être quelque chose comme ça

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 

Il convient de noter que quelques heures seront manquants dans certaines dates (par exemple, le jour 10 est manquant heures 16,17,19,20). Toute aide est très appréciée, merci

Answer 1

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