我需要一些帮助在R中绘制箱形图。
我无法显示不同月份的降水数据集。我只能看到一个箱线图。
请参考此链接，其中显示了第6页中的示例。 https://cran.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Vignette-knitr.pdf
这是我的数据集。
Nasa Meteoblue M
1 0.1 4.75 Jan
2 0.4 11.06 Jan
3 4.7 5.12 Jan
4 8.2 10.82 Jan
5 9.9 2.22 Jan
6 16.7 14.81 Jan
7 3.0 10.62 Jan
8 11.0 13.23 Jan
9 6.6 42.41 Jan
10 5.6 7.76 Jan
11 4.0 1.63 Jan
12 18.1 19.30 Jan
13 0.2 37.66 Jan
14 0.0 33.15 Jan
15 8.0 6.64 Jan
16 6.1 1.82 Jan
17 12.1 2.29 Jan
18 9.1 5.57 Jan
19 1.8 17.21 Jan
20 1.1 0.64 Jan
21 2.2 0.62 Jan
22 5.8 0.41 Jan
23 3.8 0.98 Jan
24 1.7 1.62 Jan
25 4.9 0.44 Jan
26 0.5 0.49 Jan
27 2.4 0.47 Jan
28 1.3 0.14 Jan
29 1.0 0.12 Jan
30 0.0 0.39 Jan
31 0.0 0.54 Jan
32 0.2 0.24 Feb
33 0.8 0.45 Feb
34 0.0 0.38 Feb
35 0.0 0.46 Feb
36 0.0 0.52 Feb
37 0.0 0.18 Feb
38 0.6 0.43 Feb
39 1.4 0.17 Feb
40 0.0 0.37 Feb
41 1.6 0.17 Feb
42 8.8 0.50 Feb
43 9.2 0.41 Feb
44 0.2 0.31 Feb
45 0.0 0.06 Feb
46 0.1 0.16 Feb
47 0.0 0.46 Feb
48 0.0 0.20 Feb
49 0.0 0.37 Feb
50 0.1 0.10 Feb
51 0.5 0.55 Feb
52 0.0 0.33 Feb
53 0.9 0.11 Feb
54 1.0 0.16 Feb
55 0.6 0.30 Feb
56 0.4 0.19 Feb
57 0.0 0.10 Feb
58 0.5 0.16 Feb
59 0.0 0.08 Feb
60 0.0 0.56 Mar
61 0.3 0.37 Mar
62 0.0 0.53 Mar
63 0.0 0.72 Mar
64 0.0 0.11 Mar
65 0.0 0.47 Mar
66 0.0 0.09 Mar
67 7.5 0.98 Mar
68 0.7 0.93 Mar
69 0.0 0.37 Mar
70 0.0 0.20 Mar
71 2.0 0.41 Mar
72 4.4 0.29 Mar
73 0.0 0.34 Mar
74 0.0 0.12 Mar
75 0.2 0.27 Mar
76 2.5 1.02 Mar
77 4.5 2.16 Mar
78 9.0 0.73 Mar
79 1.4 0.33 Mar
80 1.7 0.29 Mar
81 0.4 0.41 Mar
82 0.2 1.54 Mar
83 4.9 0.72 Mar
84 1.9 0.16 Mar
85 1.1 0.51 Mar
86 0.0 0.55 Mar
87 0.0 1.43 Mar
88 0.1 1.06 Mar
89 1.3 1.22 Mar
90 0.5 1.68 Mar
91 0.0 1.27 Apr
92 1.3 2.43 Apr
93 0.0 4.03 Apr
94 0.1 1.34 Apr
95 0.1 3.12 Apr
96 0.0 2.77 Apr
97 0.0 0.61 Apr
98 0.4 2.11 Apr
99 5.6 2.13 Apr
100 6.2 9.97 Apr
101 11.3 38.07 Apr
102 10.3 30.26 Apr
103 16.7 15.22 Apr
104 19.1 10.27 Apr
105 15.8 3.14 Apr
106 6.8 8.26 Apr
107 0.0 1.62 Apr
108 0.0 1.15 Apr
109 10.5 1.90 Apr
110 18.4 2.02 Apr
111 5.8 1.35 Apr
112 14.9 6.03 Apr
113 8.9 6.71 Apr
114 7.8 2.53 Apr
115 14.7 19.31 Apr
116 34.1 5.61 Apr
117 43.3 5.66 Apr
118 53.1 2.15 Apr
119 17.4 2.00 Apr
120 17.0 1.88 Apr
121 1.8 1.73 May
122 2.0 2.84 May
123 35.5 8.28 May
124 38.3 13.18 May
125 16.8 21.61 May
126 31.0 13.52 May
127 0.5 16.22 May
128 10.3 7.06 May
129 17.3 11.77 May
130 27.0 39.95 May
131 17.9 4.80 May
132 14.1 3.62 May
133 35.6 5.31 May
134 15.9 8.05 May
135 1.7 3.26 May
136 4.8 1.04 May
137 14.7 3.73 May
138 17.3 3.15 May
139 25.5 10.14 May
140 24.1 6.78 May
141 10.5 11.36 May
142 0.1 28.07 May
143 20.8 6.85 May
144 25.3 7.16 May
145 30.0 7.07 May
146 30.6 4.91 May
147 5.1 4.76 May
148 7.5 2.67 May
149 2.2 4.31 May
150 9.7 11.18 May
151 9.6 11.53 May
152 28.3 9.49 Jun
153 3.7 5.55 Jun
154 21.2 10.92 Jun
155 21.2 18.89 Jun
156 28.0 3.37 Jun
157 32.7 8.03 Jun
158 1.5 8.66 Jun
159 19.1 18.26 Jun
160 25.2 8.09 Jun
161 27.1 9.49 Jun
162 29.7 40.98 Jun
163 2.7 11.11 Jun
164 0.1 1.70 Jun
165 15.2 8.56 Jun
166 16.8 20.51 Jun
167 19.5 1.96 Jun
168 7.0 3.73 Jun
169 14.2 27.59 Jun
170 33.6 14.80 Jun
171 26.1 14.15 Jun
172 1.3 5.85 Jun
173 2.0 2.78 Jun
174 11.4 2.74 Jun
175 8.5 6.53 Jun
176 22.3 16.41 Jun
177 27.0 7.03 Jun
178 18.1 12.31 Jun
179 23.9 14.15 Jun
180 0.7 14.67 Jun
181 11.7 14.11 Jun
182 6.3 3.31 Jul
183 1.2 9.73 Jul
184 2.7 3.23 Jul
185 6.4 6.04 Jul
186 10.3 19.62 Jul
187 13.2 15.75 Jul
188 8.9 2.36 Jul
189 2.5 1.78 Jul
190 1.5 5.52 Jul
191 33.6 25.85 Jul
192 17.6 25.13 Jul
193 4.8 4.04 Jul
194 8.7 7.37 Jul
195 16.9 9.05 Jul
196 8.4 5.37 Jul
197 17.1 11.45 Jul
198 14.9 5.83 Jul
199 5.2 0.98 Jul
200 7.1 2.10 Jul
201 52.6 2.20 Jul
202 27.1 2.02 Jul
203 30.8 5.31 Jul
204 29.1 2.19 Jul
205 28.5 5.09 Jul
206 29.9 3.14 Jul
207 30.6 1.63 Jul
208 28.8 3.61 Jul
209 28.4 2.61 Jul
210 35.0 8.14 Jul
211 29.6 7.06 Jul
212 8.2 8.41 Jul
213 33.7 23.64 Aug
214 26.7 14.86 Aug
215 2.9 4.70 Aug
216 15.2 9.86 Aug
217 5.7 6.23 Aug
218 5.8 4.95 Aug
219 9.7 2.82 Aug
220 3.1 2.51 Aug
221 5.2 3.72 Aug
222 2.8 4.41 Aug
223 5.1 0.55 Aug
224 2.7 2.04 Aug
225 9.9 7.69 Aug
226 46.2 2.39 Aug
227 4.6 4.66 Aug
228 0.0 0.11 Aug
229 1.6 0.54 Aug
230 4.8 2.19 Aug
231 15.8 6.26 Aug
232 3.0 1.47 Aug
233 0.8 2.59 Aug
234 17.3 10.00 Aug
235 27.1 1.68 Aug
236 15.2 1.86 Aug
237 40.1 3.10 Aug
238 18.1 3.81 Aug
239 30.6 1.73 Aug
240 16.9 1.96 Aug
241 24.5 3.36 Aug
242 21.9 2.36 Aug
243 28.1 0.98 Aug
244 25.5 1.57 Sep
245 17.8 0.65 Sep
246 13.6 8.54 Sep
247 33.7 8.28 Sep
248 26.7 5.36 Sep
249 0.2 7.34 Sep
250 1.8 9.23 Sep
251 12.5 5.80 Sep
252 7.9 0.98 Sep
253 5.4 3.24 Sep
254 4.3 20.40 Sep
255 4.9 53.80 Sep
256 22.5 23.54 Sep
257 2.6 5.68 Sep
258 15.1 29.70 Sep
259 52.4 19.10 Sep
260 0.8 0.92 Sep
261 2.0 0.57 Sep
262 40.3 1.15 Sep
263 12.2 0.71 Sep
264 0.0 1.05 Sep
265 10.6 2.31 Sep
266 24.7 54.34 Sep
267 22.4 40.70 Sep
268 17.3 18.15 Sep
269 31.0 43.02 Sep
270 23.8 25.32 Sep
271 15.1 22.60 Sep
272 38.3 10.32 Sep
273 40.4 36.48 Sep
274 15.7 22.83 Oct
275 6.4 15.87 Oct
276 4.7 22.78 Oct
277 1.8 15.11 Oct
278 0.6 2.72 Oct
279 0.0 0.12 Oct
280 0.0 0.69 Oct
281 2.4 1.30 Oct
282 85.5 7.85 Oct
283 110.3 2.77 Oct
284 11.1 5.32 Oct
285 0.0 3.60 Oct
286 0.3 0.18 Oct
287 0.0 0.02 Oct
288 6.3 0.82 Oct
289 0.0 2.24 Oct
290 6.9 22.72 Oct
291 9.9 15.79 Oct
292 7.5 12.31 Oct
293 27.1 9.20 Oct
294 55.6 16.70 Oct
295 55.6 7.62 Oct
296 34.7 6.82 Oct
297 22.3 20.31 Oct
298 10.9 33.55 Oct
299 31.4 5.66 Oct
300 48.8 22.86 Oct
301 79.4 7.40 Oct
302 5.9 47.61 Oct
303 27.8 15.73 Oct
304 24.5 5.40 Oct
305 33.1 27.45 Nov
306 37.5 44.82 Nov
307 16.7 6.99 Nov
308 2.0 12.03 Nov
309 4.7 20.49 Nov
310 6.3 28.36 Nov
311 0.5 18.04 Nov
312 3.4 7.88 Nov
313 9.2 15.82 Nov
314 0.6 5.19 Nov
315 3.2 2.70 Nov
316 14.0 2.11 Nov
317 2.0 5.48 Nov
318 25.5 7.27 Nov
319 2.5 4.31 Nov
320 3.7 1.93 Nov
321 19.2 12.58 Nov
322 18.8 18.57 Nov
323 25.2 24.05 Nov
324 36.8 8.97 Nov
325 24.9 29.01 Nov
326 30.4 4.62 Nov
327 3.5 2.04 Nov
328 1.1 3.88 Nov
329 0.6 9.43 Nov
330 2.4 4.14 Nov
331 38.0 19.52 Nov
332 22.3 3.05 Nov
333 0.0 6.58 Nov
334 3.3 1.27 Nov
335 4.8 1.86 Dec
336 2.9 0.30 Dec
337 1.5 0.88 Dec
338 2.1 8.54 Dec
339 1.6 12.62 Dec
340 0.2 1.27 Dec
341 0.6 0.47 Dec
342 4.5 0.72 Dec
343 0.4 1.29 Dec
344 0.2 0.44 Dec
345 0.3 0.80 Dec
346 0.4 2.57 Dec
347 2.2 17.85 Dec
348 0.2 22.75 Dec
349 0.4 3.82 Dec
350 1.7 5.65 Dec
351 0.1 0.51 Dec
352 0.1 2.61 Dec
353 0.5 0.59 Dec
354 8.3 10.20 Dec
355 2.0 16.87 Dec
356 0.5 0.76 Dec
357 0.2 0.11 Dec
358 0.7 0.17 Dec
359 0.0 0.03 Dec
360 0.0 0.08 Dec
361 0.0 0.20 Dec
362 0.6 0.20 Dec
363 0.0 0.76 Dec
364 0.0 0.33 Dec
365 0.0 0.74 Dec
我尝试了以下代码，但是当我尝试绘制所有月份时，我只会遇到错误：
boxplot(Nasa)
# Error in boxplot(Nasa) : object 'Nasa' not found
boxplot(rdata,nasa)
# Error in boxplot.default(rdata, nasa) : object 'nasa' not found
boxplot(rdata$Nasa)
boxplot(rdata$Nasa~M)
boxplot(Nasa)
# Error in boxplot(Nasa) : object 'Nasa' not found
boxplot(rdata,nasa)
# Error in boxplot.default(rdata, nasa) : object 'nasa' not found
boxplot(rdata$Nasa)
boxplot(rdata$Nasa~M)
请参考此链接，其中显示了第6页中的示例。 https://cran.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Vignette-knitr.pdf