R 中具有离散值的直方图

Question

所以我有以下价值观

[1] 5.8804347826087  6.16304347826087 6.18478260869565 6.26086956521739 6.41304347826087 6.45652173913043
  [7] 6.53260869565217 6.54347826086957 6.59782608695652 6.66304347826087 6.69565217391304 6.70652173913043
 [13] 6.73913043478261 6.75             6.78260869565217 6.79347826086957 6.82608695652174 6.84782608695652
 [19] 6.85869565217391 6.8695652173913  6.8804347826087  6.90217391304348 6.91304347826087 6.92391304347826
 [25] 6.93478260869565 6.94565217391304 6.96739130434783 6.97826086956522 6.98913043478261 7               
 [31] 7.02173913043478 7.03260869565217 7.04347826086957 7.05434782608696 7.07608695652174 7.08695652173913
 [37] 7.09782608695652 7.10869565217391 7.1195652173913  7.1304347826087  7.14130434782609 7.15217391304348
 [43] 7.17391304347826 7.18478260869565 7.19565217391304 7.20652173913043 7.21739130434783 7.22826086956522
 [49] 7.25             7.26086956521739 7.27173913043478 7.28260869565217 7.29347826086957 7.30434782608696
 [55] 7.31521739130435 7.32608695652174 7.33695652173913 7.34782608695652 7.35869565217391 7.3695652173913 
 [61] 7.3804347826087  7.40217391304348 7.41304347826087 7.42391304347826 7.44565217391304 7.45652173913043
 [67] 7.46739130434783 7.47826086956522 7.48913043478261 7.5              7.51086956521739 7.52173913043478
 [73] 7.53260869565217 7.54347826086957 7.55434782608696 7.56521739130435 7.57608695652174 7.58695652173913
 [79] 7.59782608695652 7.60869565217391 7.6195652173913  7.6304347826087  7.64130434782609 7.65217391304348
 [85] 7.66304347826087 7.67391304347826 7.68478260869565 7.69565217391304 7.70652173913043 7.71739130434783
 [91] 7.72826086956522 7.73913043478261 7.75             7.76086956521739 7.77173913043478 7.78260869565217
 [97] 7.79347826086957 7.80434782608696 7.81521739130435 7.82608695652174 7.83695652173913 7.84782608695652
[103] 7.85869565217391 7.8695652173913  7.8804347826087  7.89130434782609 7.90217391304348 7.91304347826087
[109] 7.92391304347826 7.93478260869565 7.94565217391304 7.95652173913043 7.96739130434783 7.97826086956522
[115] 7.98913043478261 8                8.01086956521739 8.02173913043478 8.03260869565217 8.04347826086956
[121] 8.05434782608696 8.06521739130435 8.07608695652174 8.08695652173913 8.09782608695652 8.10869565217391
[127] 8.1195652173913  8.1304347826087  8.14130434782609 8.15217391304348 8.16304347826087 8.17391304347826
[133] 8.18478260869565 8.19565217391304 8.20652173913044 8.21739130434783 8.22826086956522 8.23913043478261
[139] 8.25             8.26086956521739 8.27173913043478 8.28260869565217 8.29347826086956 8.30434782608696
[145] 8.31521739130435 8.32608695652174 8.33695652173913 8.34782608695652 8.35869565217391 8.3695652173913 
[151] 8.3804347826087  8.39130434782609 8.40217391304348 8.41304347826087 8.42391304347826 8.43478260869565
[157] 8.44565217391304 8.45652173913044 8.46739130434783 8.47826086956522 8.48913043478261 8.51086956521739
[163] 8.52173913043478 8.53260869565217 8.54347826086956 8.55434782608696 8.56521739130435 8.57608695652174
[169] 8.58695652173913 8.59782608695652 8.60869565217391 8.6195652173913  8.6304347826087  8.64130434782609
[175] 8.65217391304348 8.66304347826087 8.67391304347826 8.68478260869565 8.69565217391304 8.70652173913044
[181] 8.71739130434783 8.72826086956522 8.73913043478261 8.75             8.76086956521739 8.77173913043478
[187] 8.78260869565217 8.79347826086956 8.80434782608696 8.81521739130435 8.82608695652174 8.83695652173913
[193] 8.84782608695652 8.85869565217391 8.8695652173913  8.8804347826087  8.89130434782609 8.91304347826087
[199] 8.92391304347826 8.93478260869565 8.94565217391304 8.95652173913044 8.96739130434783 8.97826086956522
[205] 8.98913043478261 9                9.01086956521739 9.02173913043478 9.03260869565217 9.04347826086956
[211] 9.05434782608696 9.06521739130435 9.07608695652174 9.08695652173913 9.09782608695652 9.10869565217391
[217] 9.1304347826087  9.14130434782609 9.15217391304348 9.16304347826087 9.17391304347826 9.18478260869565
[223] 9.19565217391304 9.20652173913044 9.22826086956522 9.23913043478261 9.25             9.26086956521739
[229] 9.27173913043478 9.28260869565217 9.29347826086956 9.30434782608696 9.31521739130435 9.32608695652174
[235] 9.33695652173913 9.34782608695652 9.35869565217391 9.3695652173913  9.3804347826087  9.39130434782609
[241] 9.40217391304348 9.42391304347826 9.43478260869565 9.44565217391304 9.47826086956522 9.5             
[247] 9.51086956521739 9.53260869565217 9.54347826086956 9.55434782608696 9.57608695652174 9.60869565217391
[253] 9.65217391304348 9.69565217391304 9.70652173913044 9.72826086956522 9.77173913043478 9.78260869565217
[259] 9.82608695652174 9.8804347826087  9.89130434782609 9.91304347826087 9.95652173913044 9.96739130434783
[265] 10.0217391304348 10.0326086956522 10.0652173913043 10.1521739130435 10.2065217391304 10.6086956521739
[271] 10.6847826086957

每个值都有一个与之相关的频率。

由这段代码给出

v<-vector("numeric",length=B)
for ( i in 1:B){
  v[i]<-bootstrap_resample[[i]]$mean[[1]]
}
data<-as.data.frame((stack(table(v))))

我想做的是一个直方图，其中 x 轴上有 data$ind 的值（十进制值），y 轴上有每个数字的频率值。

我尝试过做

ggplot(data = data, aes(x=ind)) +
  geom_histogram()

但它不起作用，因为 x 值必须是连续的。我能做什么？

最终结果应该是这样的：

---

编辑

以下是复制和粘贴友好形式的数据。

c(5.8804347826087, 6.16304347826087, 6.18478260869565, 6.26086956521739, 
  6.41304347826087, 6.45652173913043, 6.53260869565217, 6.54347826086957, 
  6.59782608695652, 6.66304347826087, 6.69565217391304, 6.70652173913043, 
  6.73913043478261, 6.75, 6.78260869565217, 6.79347826086957, 6.82608695652174, 
  6.84782608695652, 6.85869565217391, 6.8695652173913, 6.8804347826087, 
  6.90217391304348, 6.91304347826087, 6.92391304347826, 6.93478260869565, 
  6.94565217391304, 6.96739130434783, 6.97826086956522, 6.98913043478261, 
  7, 7.02173913043478, 7.03260869565217, 7.04347826086957, 7.05434782608696, 
  7.07608695652174, 7.08695652173913, 7.09782608695652, 7.10869565217391, 
  7.1195652173913, 7.1304347826087, 7.14130434782609, 7.15217391304348, 
  7.17391304347826, 7.18478260869565, 7.19565217391304, 7.20652173913043, 
  7.21739130434783, 7.22826086956522, 7.25, 7.26086956521739, 7.27173913043478, 
  7.28260869565217, 7.29347826086957, 7.30434782608696, 7.31521739130435, 
  7.32608695652174, 7.33695652173913, 7.34782608695652, 7.35869565217391, 
  7.3695652173913, 7.3804347826087, 7.40217391304348, 7.41304347826087, 
  7.42391304347826, 7.44565217391304, 7.45652173913043, 7.46739130434783, 
  7.47826086956522, 7.48913043478261, 7.5, 7.51086956521739, 7.52173913043478, 
  7.53260869565217, 7.54347826086957, 7.55434782608696, 7.56521739130435, 
  7.57608695652174, 7.58695652173913, 7.59782608695652, 7.60869565217391, 
  7.6195652173913, 7.6304347826087, 7.64130434782609, 7.65217391304348, 
  7.66304347826087, 7.67391304347826, 7.68478260869565, 7.69565217391304, 
  7.70652173913043, 7.71739130434783, 7.72826086956522, 7.73913043478261, 
  7.75, 7.76086956521739, 7.77173913043478, 7.78260869565217, 7.79347826086957, 
  7.80434782608696, 7.81521739130435, 7.82608695652174, 7.83695652173913, 
  7.84782608695652, 7.85869565217391, 7.8695652173913, 7.8804347826087, 
  7.89130434782609, 7.90217391304348, 7.91304347826087, 7.92391304347826, 
  7.93478260869565, 7.94565217391304, 7.95652173913043, 7.96739130434783, 
  7.97826086956522, 7.98913043478261, 8, 8.01086956521739, 8.02173913043478, 
  8.03260869565217, 8.04347826086956, 8.05434782608696, 8.06521739130435, 
  8.07608695652174, 8.08695652173913, 8.09782608695652, 8.10869565217391, 
  8.1195652173913, 8.1304347826087, 8.14130434782609, 8.15217391304348, 
  8.16304347826087, 8.17391304347826, 8.18478260869565, 8.19565217391304, 
  8.20652173913044, 8.21739130434783, 8.22826086956522, 8.23913043478261, 
  8.25, 8.26086956521739, 8.27173913043478, 8.28260869565217, 8.29347826086956, 
  8.30434782608696, 8.31521739130435, 8.32608695652174, 8.33695652173913, 
  8.34782608695652, 8.35869565217391, 8.3695652173913, 8.3804347826087, 
  8.39130434782609, 8.40217391304348, 8.41304347826087, 8.42391304347826, 
  8.43478260869565, 8.44565217391304, 8.45652173913044, 8.46739130434783, 
  8.47826086956522, 8.48913043478261, 8.51086956521739, 8.52173913043478, 
  8.53260869565217, 8.54347826086956, 8.55434782608696, 8.56521739130435, 
  8.57608695652174, 8.58695652173913, 8.59782608695652, 8.60869565217391, 
  8.6195652173913, 8.6304347826087, 8.64130434782609, 8.65217391304348, 
  8.66304347826087, 8.67391304347826, 8.68478260869565, 8.69565217391304, 
  8.70652173913044, 8.71739130434783, 8.72826086956522, 8.73913043478261, 
  8.75, 8.76086956521739, 8.77173913043478, 8.78260869565217, 8.79347826086956, 
  8.80434782608696, 8.81521739130435, 8.82608695652174, 8.83695652173913, 
  8.84782608695652, 8.85869565217391, 8.8695652173913, 8.8804347826087, 
  8.89130434782609, 8.91304347826087, 8.92391304347826, 8.93478260869565, 
  8.94565217391304, 8.95652173913044, 8.96739130434783, 8.97826086956522, 
  8.98913043478261, 9, 9.01086956521739, 9.02173913043478, 9.03260869565217, 
  9.04347826086956, 9.05434782608696, 9.06521739130435, 9.07608695652174, 
  9.08695652173913, 9.09782608695652, 9.10869565217391, 9.1304347826087, 
  9.14130434782609, 9.15217391304348, 9.16304347826087, 9.17391304347826, 
  9.18478260869565, 9.19565217391304, 9.20652173913044, 9.22826086956522, 
  9.23913043478261, 9.25, 9.26086956521739, 9.27173913043478, 9.28260869565217, 
  9.29347826086956, 9.30434782608696, 9.31521739130435, 9.32608695652174, 
  9.33695652173913, 9.34782608695652, 9.35869565217391, 9.3695652173913, 
  9.3804347826087, 9.39130434782609, 9.40217391304348, 9.42391304347826, 
  9.43478260869565, 9.44565217391304, 9.47826086956522, 9.5, 9.51086956521739, 
  9.53260869565217, 9.54347826086956, 9.55434782608696, 9.57608695652174, 
  9.60869565217391, 9.65217391304348, 9.69565217391304, 9.70652173913044, 
  9.72826086956522, 9.77173913043478, 9.78260869565217, 9.82608695652174, 
  9.8804347826087, 9.89130434782609, 9.91304347826087, 9.95652173913044, 
  9.96739130434783, 10.0217391304348, 10.0326086956522, 10.0652173913043, 
  10.1521739130435, 10.2065217391304, 10.6086956521739, 10.6847826086957
)

Answer 1

我的数据是这样的：

    values              ind
1        1  5.8804347826087
2        1 6.16304347826087
3        1 6.18478260869565
4        1 6.26086956521739
5        1 6.41304347826087
6        1 6.45652173913043
7        1 6.53260869565217
8        1 6.54347826086957
9        1 6.59782608695652
10       1 6.66304347826087
11       1 6.69565217391304
12       1 6.70652173913043
13       1 6.73913043478261
14       1             6.75
15       1 6.78260869565217
16       2 6.79347826086957
17       2 6.82608695652174
18       2 6.84782608695652
19       1 6.85869565217391
20       2  6.8695652173913
21       1  6.8804347826087
22       1 6.90217391304348
23       2 6.91304347826087
24       3 6.92391304347826
25       1 6.93478260869565
26       1 6.94565217391304
27       1 6.96739130434783
28       2 6.97826086956522
29       2 6.98913043478261
30       2                7
31       1 7.02173913043478
32       3 7.03260869565217
33       2 7.04347826086957
34       1 7.05434782608696
35       2 7.07608695652174
36       2 7.08695652173913
37       3 7.09782608695652
38       1 7.10869565217391
39       4  7.1195652173913
40       1  7.1304347826087
41       1 7.14130434782609
42       2 7.15217391304348
43       2 7.17391304347826
44       1 7.18478260869565
45       4 7.19565217391304
46       1 7.20652173913043
47       4 7.21739130434783
48       1 7.22826086956522
49       2             7.25
50       3 7.26086956521739
51       4 7.27173913043478
52       1 7.28260869565217
53       6 7.29347826086957
54       5 7.30434782608696
55       1 7.31521739130435
56       1 7.32608695652174
57       2 7.33695652173913
58       3 7.34782608695652
59       3 7.35869565217391
60       3  7.3695652173913
61       6  7.3804347826087
62       7 7.40217391304348
63       4 7.41304347826087
64       5 7.42391304347826
65       7 7.44565217391304
66       3 7.45652173913043
67       1 7.46739130434783
68       1 7.47826086956522
69       4 7.48913043478261
70       3              7.5
71       4 7.51086956521739
72       2 7.52173913043478
73       3 7.53260869565217
74       6 7.54347826086957
75       3 7.55434782608696
76       5 7.56521739130435
77       4 7.57608695652174
78       4 7.58695652173913
79       5 7.59782608695652
80       2 7.60869565217391
81       2  7.6195652173913
82       5  7.6304347826087
83       9 7.64130434782609
84       5 7.65217391304348
85       2 7.66304347826087
86       4 7.67391304347826
87       7 7.68478260869565
88       6 7.69565217391304
89       4 7.70652173913043
90       4 7.71739130434783
91       4 7.72826086956522
92       6 7.73913043478261
93       2             7.75
94       3 7.76086956521739
95       4 7.77173913043478
96       4 7.78260869565217
97       2 7.79347826086957
98       2 7.80434782608696
99       7 7.81521739130435
100      2 7.82608695652174
101      7 7.83695652173913
102      3 7.84782608695652
103      7 7.85869565217391
104      3  7.8695652173913
105      7  7.8804347826087
106      2 7.89130434782609
107     10 7.90217391304348
108      8 7.91304347826087
109      9 7.92391304347826
110      3 7.93478260869565
111      4 7.94565217391304
112      3 7.95652173913043
113      2 7.96739130434783
114      6 7.97826086956522
115      5 7.98913043478261
116      8                8
117      5 8.01086956521739
118      6 8.02173913043478
119      5 8.03260869565217
120      7 8.04347826086956
121      7 8.05434782608696
122      3 8.06521739130435
123     11 8.07608695652174
124     11 8.08695652173913
125      6 8.09782608695652
126      7 8.10869565217391
127      4  8.1195652173913
128      6  8.1304347826087
129      9 8.14130434782609
130      8 8.15217391304348
131      5 8.16304347826087
132      5 8.17391304347826
133     10 8.18478260869565
134     10 8.19565217391304
135      7 8.20652173913044
136      3 8.21739130434783
137      7 8.22826086956522
138     11 8.23913043478261
139      6             8.25
140     12 8.26086956521739
141      4 8.27173913043478
142      4 8.28260869565217
143      8 8.29347826086956
144      8 8.30434782608696
145      6 8.31521739130435
146      4 8.32608695652174
147      7 8.33695652173913
148      9 8.34782608695652
149      7 8.35869565217391
150      5  8.3695652173913
151      4  8.3804347826087
152      4 8.39130434782609
153     11 8.40217391304348
154      7 8.41304347826087
155     12 8.42391304347826
156      5 8.43478260869565
157      4 8.44565217391304
158      3 8.45652173913044
159      5 8.46739130434783
160      4 8.47826086956522
161      4 8.48913043478261
162      7 8.51086956521739
163      2 8.52173913043478
164      1 8.53260869565217
165      4 8.54347826086956
166      4 8.55434782608696
167      7 8.56521739130435
168      7 8.57608695652174
169      4 8.58695652173913
170      4 8.59782608695652
171      4 8.60869565217391
172      6  8.6195652173913
173     11  8.6304347826087
174      4 8.64130434782609
175      5 8.65217391304348
176      4 8.66304347826087
177      8 8.67391304347826
178      5 8.68478260869565
179      3 8.69565217391304
180      2 8.70652173913044
181      3 8.71739130434783
182      6 8.72826086956522
183      8 8.73913043478261
184      3             8.75
185     12 8.76086956521739
186      3 8.77173913043478
187      5 8.78260869565217
188      3 8.79347826086956
189      5 8.80434782608696
190      5 8.81521739130435
191      7 8.82608695652174
192      9 8.83695652173913
193      7 8.84782608695652
194      7 8.85869565217391
195      1  8.8695652173913
196      2  8.8804347826087
197      6 8.89130434782609
198      4 8.91304347826087
199      2 8.92391304347826
200      3 8.93478260869565
201      4 8.94565217391304
202      4 8.95652173913044
203      5 8.96739130434783
204      5 8.97826086956522
205      1 8.98913043478261
206      3                9
207      3 9.01086956521739
208      4 9.02173913043478
209      1 9.03260869565217
210      3 9.04347826086956
211      3 9.05434782608696
212      5 9.06521739130435
213      5 9.07608695652174
214      1 9.08695652173913
215      4 9.09782608695652
216      3 9.10869565217391
217      2  9.1304347826087
218      2 9.14130434782609
219      3 9.15217391304348
220      2 9.16304347826087
221      2 9.17391304347826
222      1 9.18478260869565
223      4 9.19565217391304
224      5 9.20652173913044
225      1 9.22826086956522
226      2 9.23913043478261
227      3             9.25
228      1 9.26086956521739
229      2 9.27173913043478
230      2 9.28260869565217
231      2 9.29347826086956
232      2 9.30434782608696
233      1 9.31521739130435
234      2 9.32608695652174
235      1 9.33695652173913
236      2 9.34782608695652
237      5 9.35869565217391
238      3  9.3695652173913
239      1  9.3804347826087
240      3 9.39130434782609
241      1 9.40217391304348
242      1 9.42391304347826
243      1 9.43478260869565
244      3 9.44565217391304
245      2 9.47826086956522
246      1              9.5
247      2 9.51086956521739
248      3 9.53260869565217
249      1 9.54347826086956
250      1 9.55434782608696
251      2 9.57608695652174
252      1 9.60869565217391
253      1 9.65217391304348
254      1 9.69565217391304
255      1 9.70652173913044
256      1 9.72826086956522
257      1 9.77173913043478
258      1 9.78260869565217
259      2 9.82608695652174
260      1  9.8804347826087
261      1 9.89130434782609
262      1 9.91304347826087
263      1 9.95652173913044
264      3 9.96739130434783
265      2 10.0217391304348
266      1 10.0326086956522
267      2 10.0652173913043
268      1 10.1521739130435
269      1 10.2065217391304
270      1 10.6086956521739
271      1 10.6847826086957

目标是制作所需的直方图，其中 x 轴上有小数索引（数据列的名称），y 轴上有每个值的“频率”。