as.monthly: Convert a daily precipitation serie to a monthly serie
In precintcon: Precipitation Intensity, Concentration and Anomaly Analysis
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Converts a daily precipitation serie to a monthly serie.
Usage
1
as.monthly(object)
Arguments
object
a precintcon.daily object or a data.frame containing
33 or 3 columns
Value
A data.frame (precintcon.monthly) containing the following variables:
-
year is the year.
-
month is the month.
-
precipitation is the precipitation amount in millimeters.
Author(s)
Lucas Venezian Povoa lucasvenez@gmail.com
See Also
Examples
1
2
3
4
5
6
7
## Loading the daily precipitation serie.
#
data(daily)
## Converting precipitation
#
as.monthly(daily)
Example output
Loading required package: ggplot2
Loading required package: scales
Attaching package: 'precintcon'
The following object is masked from 'package:ggplot2':
stat
year month precipitation
1 1976 1 135.5
2 1976 2 158.0
3 1976 3 138.4
4 1976 4 74.6
5 1976 5 164.7
6 1976 6 57.0
7 1976 7 86.0
8 1976 8 194.0
9 1976 9 153.0
10 1976 10 148.2
11 1976 11 144.2
12 1976 12 142.1
13 1977 1 230.0
14 1977 2 86.0
15 1977 3 98.4
16 1977 4 128.0
17 1977 5 32.0
18 1977 6 130.8
19 1977 7 33.8
20 1977 8 25.0
21 1977 9 89.6
22 1977 10 44.8
23 1977 11 187.4
24 1977 12 177.6
25 1978 1 73.6
26 1978 2 35.8
27 1978 3 219.0
28 1978 4 0.0
29 1978 5 107.4
30 1978 6 12.8
31 1978 7 214.6
32 1978 8 9.0
33 1978 9 122.0
34 1978 10 41.6
35 1978 11 110.0
36 1978 12 152.2
37 1979 1 59.6
38 1979 2 162.8
39 1979 3 18.8
40 1979 4 36.8
41 1979 5 119.4
42 1979 6 0.0
43 1979 7 48.7
44 1979 8 42.2
45 1979 9 229.6
46 1979 10 101.7
47 1979 11 158.0
48 1979 12 152.4
49 1980 1 165.8
50 1980 2 294.8
51 1980 3 95.6
52 1980 4 194.0
53 1980 5 54.0
54 1980 6 82.8
55 1980 7 18.8
56 1980 8 32.6
57 1980 9 133.8
58 1980 10 125.0
59 1980 11 83.2
60 1980 12 221.1
61 1981 1 129.4
62 1981 2 112.8
63 1981 3 60.4
64 1981 4 132.6
65 1981 5 0.0
66 1981 6 122.8
67 1981 7 13.6
68 1981 8 6.8
69 1981 9 10.0
70 1981 10 230.2
71 1981 11 218.4
72 1981 12 187.6
73 1982 1 160.8
74 1982 2 234.0
75 1982 3 102.4
76 1982 4 8.0
77 1982 5 69.4
78 1982 6 178.0
79 1982 7 89.6
80 1982 8 29.4
81 1982 9 26.0
82 1982 10 170.8
83 1982 11 304.8
84 1982 12 450.4
85 1983 1 244.2
86 1983 2 60.4
87 1983 3 194.8
88 1983 4 95.2
89 1983 5 272.6
90 1983 6 221.6
91 1983 7 5.0
92 1983 8 0.0
93 1983 9 187.8
94 1983 10 114.0
95 1983 11 167.4
96 1983 12 190.8
97 1984 1 120.8
98 1984 2 50.4
99 1984 3 94.4
100 1984 4 116.8
101 1984 5 33.6
102 1984 6 0.0
103 1984 7 0.0
104 1984 8 47.6
105 1984 9 107.2
106 1984 10 85.2
107 1984 11 87.4
108 1984 12 316.6
109 1985 1 141.0
110 1985 2 115.4
111 1985 3 125.0
112 1985 4 183.4
113 1985 5 100.2
114 1985 6 23.6
115 1985 7 23.4
116 1985 8 6.8
117 1985 9 14.2
118 1985 10 21.0
119 1985 11 151.0
120 1985 12 72.0
121 1986 1 99.8
122 1986 2 234.8
123 1986 3 129.0
124 1986 4 96.0
125 1986 5 191.5
126 1986 6 0.0
127 1986 7 18.4
128 1986 8 215.2
129 1986 9 107.2
130 1986 10 50.2
131 1986 11 126.8
132 1986 12 221.4
133 1987 1 95.6
134 1987 2 175.0
135 1987 3 46.4
136 1987 4 56.4
137 1987 5 231.4
138 1987 6 141.0
139 1987 7 27.0
140 1987 8 0.0
141 1987 9 43.6
142 1987 10 103.5
143 1987 11 248.6
144 1987 12 87.4
145 1988 1 95.6
146 1988 2 99.2
147 1988 3 90.4
148 1988 4 82.2
149 1988 5 196.2
150 1988 6 45.0
151 1988 7 0.0
152 1988 8 0.0
153 1988 9 29.6
154 1988 10 326.8
155 1988 11 59.2
156 1988 12 126.0
157 1989 1 317.0
158 1989 2 79.8
159 1989 3 107.3
160 1989 4 33.0
161 1989 5 32.8
162 1989 6 77.6
163 1989 7 96.2
164 1989 8 92.4
165 1989 9 122.4
166 1989 10 91.4
167 1989 11 192.4
168 1989 12 248.6
169 1990 1 347.4
170 1990 2 48.2
171 1990 3 103.9
172 1990 4 67.4
173 1990 5 69.8
174 1990 6 29.7
175 1990 7 97.4
176 1990 8 97.6
177 1990 9 152.4
178 1990 10 90.0
179 1990 11 118.4
180 1990 12 128.8
181 1991 1 140.4
182 1991 2 87.2
183 1991 3 132.2
184 1991 4 94.2
185 1991 5 27.0
186 1991 6 106.3
187 1991 7 26.1
188 1991 8 12.6
189 1991 9 51.0
190 1991 10 59.8
191 1991 11 92.4
192 1991 12 197.8
193 1992 1 53.6
194 1992 2 170.4
195 1992 3 300.9
196 1992 4 131.1
197 1992 5 204.3
198 1992 6 39.5
199 1992 7 22.5
200 1992 8 27.8
201 1992 9 192.8
202 1992 10 113.3
203 1992 11 97.5
204 1992 12 104.7
205 1993 1 239.3
206 1993 2 224.2
207 1993 3 62.0
208 1993 4 77.0
209 1993 5 43.2
210 1993 6 132.5
211 1993 7 25.6
212 1993 8 13.5
213 1993 9 102.0
214 1993 10 76.4
215 1993 11 53.3
216 1993 12 162.2
217 1994 1 283.9
218 1994 2 106.7
219 1994 3 105.9
220 1994 4 60.8
221 1994 5 72.9
222 1994 6 97.0
223 1994 7 13.1
224 1994 8 0.0
225 1994 9 29.9
226 1994 10 67.7
227 1994 11 133.9
228 1994 12 203.8
229 1995 1 336.1
230 1995 2 136.4
231 1995 3 190.3
232 1995 4 179.5
233 1995 5 85.3
234 1995 6 20.9
235 1995 7 67.1
236 1995 8 4.3
237 1995 9 114.9
238 1995 10 196.6
239 1995 11 108.9
240 1995 12 68.7
241 1996 1 129.6
242 1996 2 250.0
243 1996 3 248.3
244 1996 4 64.4
245 1996 5 44.8
246 1996 6 4.1
247 1996 7 33.4
248 1996 8 31.5
249 1996 9 141.1
250 1996 10 139.6
251 1996 11 88.8
252 1996 12 335.7
253 1997 1 621.3
254 1997 2 154.9
255 1997 3 9.3
256 1997 4 67.9
257 1997 5 94.0
258 1997 6 176.2
259 1997 7 17.5
260 1997 8 3.3
261 1997 9 51.9
262 1997 10 183.3
263 1997 11 223.3
264 1997 12 90.8
265 1998 1 128.5
266 1998 2 242.0
267 1998 3 188.7
268 1998 4 195.7
269 1998 5 109.3
270 1998 6 31.0
271 1998 7 27.9
272 1998 8 71.6
273 1998 9 203.8
274 1998 10 180.9
275 1998 11 31.0
276 1998 12 240.8
277 1999 1 393.3
278 1999 2 208.8
279 1999 3 249.0
280 1999 4 120.1
281 1999 5 73.5
282 1999 6 105.9
283 1999 7 54.8
284 1999 8 0.0
285 1999 9 68.5
286 1999 10 100.6
287 1999 11 25.0
288 1999 12 140.7
289 2000 1 118.5
290 2000 2 347.7
291 2000 3 172.9
292 2000 4 50.0
293 2000 5 34.6
294 2000 6 26.1
295 2000 7 65.7
296 2000 8 114.2
297 2000 9 159.6
298 2000 10 93.4
299 2000 11 107.7
300 2000 12 120.8
301 2001 1 164.9
302 2001 2 223.9
303 2001 3 65.2
304 2001 4 19.2
305 2001 5 114.2
306 2001 6 61.3
307 2001 7 28.3
308 2001 8 36.9
309 2001 9 73.7
310 2001 10 57.0
311 2001 11 85.4
312 2001 12 189.5
313 2002 1 231.3
314 2002 2 48.1
315 2002 3 60.8
316 2002 4 3.8
317 2002 5 237.1
318 2002 6 9.2
319 2002 7 70.5
320 2002 8 56.5
321 2002 9 152.6
322 2002 10 107.1
323 2002 11 152.3
324 2002 12 205.0
325 2003 1 215.0
326 2003 2 146.8
327 2003 3 51.7
328 2003 4 100.9
329 2003 5 48.0
330 2003 6 42.9
331 2003 7 67.4
332 2003 8 66.4
333 2003 9 67.7
334 2003 10 67.6
335 2003 11 69.2
336 2003 12 78.4
337 2004 1 82.7
338 2004 2 24.7
339 2004 3 63.3
340 2004 4 88.6
341 2004 5 182.2
342 2004 6 68.4
343 2004 7 58.1
344 2004 8 0.0
345 2004 9 22.5
346 2004 10 173.6
347 2004 11 144.8
348 2004 12 87.5
349 2005 1 448.0
350 2005 2 39.7
351 2005 3 42.0
352 2005 4 29.6
353 2005 5 80.8
354 2005 6 85.0
355 2005 7 21.0
356 2005 8 11.5
357 2005 9 178.0
358 2005 10 174.9
359 2005 11 112.3
360 2005 12 194.2
361 2006 1 69.8
362 2006 2 190.4
363 2006 3 128.7
364 2006 4 65.4
365 2006 5 6.1
366 2006 6 21.2
367 2006 7 19.7
368 2006 8 26.9
369 2006 9 110.5
370 2006 10 106.2
371 2006 11 74.3
372 2006 12 204.6
373 2007 1 214.6
374 2007 2 295.8
375 2007 3 90.9
376 2007 4 81.9
377 2007 5 108.7
378 2007 6 24.8
379 2007 7 243.3
380 2007 8 0.0
381 2007 9 10.0
382 2007 10 29.1
383 2007 11 190.4
384 2007 12 126.0
385 2008 1 123.4
386 2008 2 121.8
387 2008 3 126.7
388 2008 4 111.4
389 2008 5 55.7
390 2008 6 22.1
391 2008 7 0.0
392 2008 8 65.6
393 2008 9 57.0
394 2008 10 71.6
395 2008 11 79.5
396 2008 12 86.2
397 2009 1 226.1
398 2009 2 114.4
399 2009 3 12.7
400 2009 4 81.8
401 2009 5 76.3
402 2009 6 65.0
403 2009 7 166.8
404 2009 8 98.9
405 2009 9 144.9
406 2009 10 205.1
407 2009 11 200.9
408 2009 12 110.6
409 2010 1 321.0
410 2010 2 191.3
411 2010 3 151.3
412 2010 4 114.5
413 2010 5 25.7
414 2010 6 18.9
415 2010 7 41.8
416 2010 8 5.3
417 2010 9 81.4
418 2010 10 144.8
419 2010 11 49.3
420 2010 12 92.1
precintcon documentation built on May 2, 2019, 3:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) See Also Examples
Description
Converts a daily precipitation serie to a monthly serie.
Usage
1 | as.monthly(object)
|
Arguments
object |
a precintcon.daily object or a data.frame containing 33 or 3 columns |
Value
A data.frame (precintcon.monthly) containing the following variables:
-
yearis the year. -
monthis the month. -
precipitationis the precipitation amount in millimeters.
Author(s)
Lucas Venezian Povoa lucasvenez@gmail.com
See Also
Examples
1 2 3 4 5 6 7 | ## Loading the daily precipitation serie.
#
data(daily)
## Converting precipitation
#
as.monthly(daily)
|
Example output
Loading required package: ggplot2
Loading required package: scales
Attaching package: 'precintcon'
The following object is masked from 'package:ggplot2':
stat
year month precipitation
1 1976 1 135.5
2 1976 2 158.0
3 1976 3 138.4
4 1976 4 74.6
5 1976 5 164.7
6 1976 6 57.0
7 1976 7 86.0
8 1976 8 194.0
9 1976 9 153.0
10 1976 10 148.2
11 1976 11 144.2
12 1976 12 142.1
13 1977 1 230.0
14 1977 2 86.0
15 1977 3 98.4
16 1977 4 128.0
17 1977 5 32.0
18 1977 6 130.8
19 1977 7 33.8
20 1977 8 25.0
21 1977 9 89.6
22 1977 10 44.8
23 1977 11 187.4
24 1977 12 177.6
25 1978 1 73.6
26 1978 2 35.8
27 1978 3 219.0
28 1978 4 0.0
29 1978 5 107.4
30 1978 6 12.8
31 1978 7 214.6
32 1978 8 9.0
33 1978 9 122.0
34 1978 10 41.6
35 1978 11 110.0
36 1978 12 152.2
37 1979 1 59.6
38 1979 2 162.8
39 1979 3 18.8
40 1979 4 36.8
41 1979 5 119.4
42 1979 6 0.0
43 1979 7 48.7
44 1979 8 42.2
45 1979 9 229.6
46 1979 10 101.7
47 1979 11 158.0
48 1979 12 152.4
49 1980 1 165.8
50 1980 2 294.8
51 1980 3 95.6
52 1980 4 194.0
53 1980 5 54.0
54 1980 6 82.8
55 1980 7 18.8
56 1980 8 32.6
57 1980 9 133.8
58 1980 10 125.0
59 1980 11 83.2
60 1980 12 221.1
61 1981 1 129.4
62 1981 2 112.8
63 1981 3 60.4
64 1981 4 132.6
65 1981 5 0.0
66 1981 6 122.8
67 1981 7 13.6
68 1981 8 6.8
69 1981 9 10.0
70 1981 10 230.2
71 1981 11 218.4
72 1981 12 187.6
73 1982 1 160.8
74 1982 2 234.0
75 1982 3 102.4
76 1982 4 8.0
77 1982 5 69.4
78 1982 6 178.0
79 1982 7 89.6
80 1982 8 29.4
81 1982 9 26.0
82 1982 10 170.8
83 1982 11 304.8
84 1982 12 450.4
85 1983 1 244.2
86 1983 2 60.4
87 1983 3 194.8
88 1983 4 95.2
89 1983 5 272.6
90 1983 6 221.6
91 1983 7 5.0
92 1983 8 0.0
93 1983 9 187.8
94 1983 10 114.0
95 1983 11 167.4
96 1983 12 190.8
97 1984 1 120.8
98 1984 2 50.4
99 1984 3 94.4
100 1984 4 116.8
101 1984 5 33.6
102 1984 6 0.0
103 1984 7 0.0
104 1984 8 47.6
105 1984 9 107.2
106 1984 10 85.2
107 1984 11 87.4
108 1984 12 316.6
109 1985 1 141.0
110 1985 2 115.4
111 1985 3 125.0
112 1985 4 183.4
113 1985 5 100.2
114 1985 6 23.6
115 1985 7 23.4
116 1985 8 6.8
117 1985 9 14.2
118 1985 10 21.0
119 1985 11 151.0
120 1985 12 72.0
121 1986 1 99.8
122 1986 2 234.8
123 1986 3 129.0
124 1986 4 96.0
125 1986 5 191.5
126 1986 6 0.0
127 1986 7 18.4
128 1986 8 215.2
129 1986 9 107.2
130 1986 10 50.2
131 1986 11 126.8
132 1986 12 221.4
133 1987 1 95.6
134 1987 2 175.0
135 1987 3 46.4
136 1987 4 56.4
137 1987 5 231.4
138 1987 6 141.0
139 1987 7 27.0
140 1987 8 0.0
141 1987 9 43.6
142 1987 10 103.5
143 1987 11 248.6
144 1987 12 87.4
145 1988 1 95.6
146 1988 2 99.2
147 1988 3 90.4
148 1988 4 82.2
149 1988 5 196.2
150 1988 6 45.0
151 1988 7 0.0
152 1988 8 0.0
153 1988 9 29.6
154 1988 10 326.8
155 1988 11 59.2
156 1988 12 126.0
157 1989 1 317.0
158 1989 2 79.8
159 1989 3 107.3
160 1989 4 33.0
161 1989 5 32.8
162 1989 6 77.6
163 1989 7 96.2
164 1989 8 92.4
165 1989 9 122.4
166 1989 10 91.4
167 1989 11 192.4
168 1989 12 248.6
169 1990 1 347.4
170 1990 2 48.2
171 1990 3 103.9
172 1990 4 67.4
173 1990 5 69.8
174 1990 6 29.7
175 1990 7 97.4
176 1990 8 97.6
177 1990 9 152.4
178 1990 10 90.0
179 1990 11 118.4
180 1990 12 128.8
181 1991 1 140.4
182 1991 2 87.2
183 1991 3 132.2
184 1991 4 94.2
185 1991 5 27.0
186 1991 6 106.3
187 1991 7 26.1
188 1991 8 12.6
189 1991 9 51.0
190 1991 10 59.8
191 1991 11 92.4
192 1991 12 197.8
193 1992 1 53.6
194 1992 2 170.4
195 1992 3 300.9
196 1992 4 131.1
197 1992 5 204.3
198 1992 6 39.5
199 1992 7 22.5
200 1992 8 27.8
201 1992 9 192.8
202 1992 10 113.3
203 1992 11 97.5
204 1992 12 104.7
205 1993 1 239.3
206 1993 2 224.2
207 1993 3 62.0
208 1993 4 77.0
209 1993 5 43.2
210 1993 6 132.5
211 1993 7 25.6
212 1993 8 13.5
213 1993 9 102.0
214 1993 10 76.4
215 1993 11 53.3
216 1993 12 162.2
217 1994 1 283.9
218 1994 2 106.7
219 1994 3 105.9
220 1994 4 60.8
221 1994 5 72.9
222 1994 6 97.0
223 1994 7 13.1
224 1994 8 0.0
225 1994 9 29.9
226 1994 10 67.7
227 1994 11 133.9
228 1994 12 203.8
229 1995 1 336.1
230 1995 2 136.4
231 1995 3 190.3
232 1995 4 179.5
233 1995 5 85.3
234 1995 6 20.9
235 1995 7 67.1
236 1995 8 4.3
237 1995 9 114.9
238 1995 10 196.6
239 1995 11 108.9
240 1995 12 68.7
241 1996 1 129.6
242 1996 2 250.0
243 1996 3 248.3
244 1996 4 64.4
245 1996 5 44.8
246 1996 6 4.1
247 1996 7 33.4
248 1996 8 31.5
249 1996 9 141.1
250 1996 10 139.6
251 1996 11 88.8
252 1996 12 335.7
253 1997 1 621.3
254 1997 2 154.9
255 1997 3 9.3
256 1997 4 67.9
257 1997 5 94.0
258 1997 6 176.2
259 1997 7 17.5
260 1997 8 3.3
261 1997 9 51.9
262 1997 10 183.3
263 1997 11 223.3
264 1997 12 90.8
265 1998 1 128.5
266 1998 2 242.0
267 1998 3 188.7
268 1998 4 195.7
269 1998 5 109.3
270 1998 6 31.0
271 1998 7 27.9
272 1998 8 71.6
273 1998 9 203.8
274 1998 10 180.9
275 1998 11 31.0
276 1998 12 240.8
277 1999 1 393.3
278 1999 2 208.8
279 1999 3 249.0
280 1999 4 120.1
281 1999 5 73.5
282 1999 6 105.9
283 1999 7 54.8
284 1999 8 0.0
285 1999 9 68.5
286 1999 10 100.6
287 1999 11 25.0
288 1999 12 140.7
289 2000 1 118.5
290 2000 2 347.7
291 2000 3 172.9
292 2000 4 50.0
293 2000 5 34.6
294 2000 6 26.1
295 2000 7 65.7
296 2000 8 114.2
297 2000 9 159.6
298 2000 10 93.4
299 2000 11 107.7
300 2000 12 120.8
301 2001 1 164.9
302 2001 2 223.9
303 2001 3 65.2
304 2001 4 19.2
305 2001 5 114.2
306 2001 6 61.3
307 2001 7 28.3
308 2001 8 36.9
309 2001 9 73.7
310 2001 10 57.0
311 2001 11 85.4
312 2001 12 189.5
313 2002 1 231.3
314 2002 2 48.1
315 2002 3 60.8
316 2002 4 3.8
317 2002 5 237.1
318 2002 6 9.2
319 2002 7 70.5
320 2002 8 56.5
321 2002 9 152.6
322 2002 10 107.1
323 2002 11 152.3
324 2002 12 205.0
325 2003 1 215.0
326 2003 2 146.8
327 2003 3 51.7
328 2003 4 100.9
329 2003 5 48.0
330 2003 6 42.9
331 2003 7 67.4
332 2003 8 66.4
333 2003 9 67.7
334 2003 10 67.6
335 2003 11 69.2
336 2003 12 78.4
337 2004 1 82.7
338 2004 2 24.7
339 2004 3 63.3
340 2004 4 88.6
341 2004 5 182.2
342 2004 6 68.4
343 2004 7 58.1
344 2004 8 0.0
345 2004 9 22.5
346 2004 10 173.6
347 2004 11 144.8
348 2004 12 87.5
349 2005 1 448.0
350 2005 2 39.7
351 2005 3 42.0
352 2005 4 29.6
353 2005 5 80.8
354 2005 6 85.0
355 2005 7 21.0
356 2005 8 11.5
357 2005 9 178.0
358 2005 10 174.9
359 2005 11 112.3
360 2005 12 194.2
361 2006 1 69.8
362 2006 2 190.4
363 2006 3 128.7
364 2006 4 65.4
365 2006 5 6.1
366 2006 6 21.2
367 2006 7 19.7
368 2006 8 26.9
369 2006 9 110.5
370 2006 10 106.2
371 2006 11 74.3
372 2006 12 204.6
373 2007 1 214.6
374 2007 2 295.8
375 2007 3 90.9
376 2007 4 81.9
377 2007 5 108.7
378 2007 6 24.8
379 2007 7 243.3
380 2007 8 0.0
381 2007 9 10.0
382 2007 10 29.1
383 2007 11 190.4
384 2007 12 126.0
385 2008 1 123.4
386 2008 2 121.8
387 2008 3 126.7
388 2008 4 111.4
389 2008 5 55.7
390 2008 6 22.1
391 2008 7 0.0
392 2008 8 65.6
393 2008 9 57.0
394 2008 10 71.6
395 2008 11 79.5
396 2008 12 86.2
397 2009 1 226.1
398 2009 2 114.4
399 2009 3 12.7
400 2009 4 81.8
401 2009 5 76.3
402 2009 6 65.0
403 2009 7 166.8
404 2009 8 98.9
405 2009 9 144.9
406 2009 10 205.1
407 2009 11 200.9
408 2009 12 110.6
409 2010 1 321.0
410 2010 2 191.3
411 2010 3 151.3
412 2010 4 114.5
413 2010 5 25.7
414 2010 6 18.9
415 2010 7 41.8
416 2010 8 5.3
417 2010 9 81.4
418 2010 10 144.8
419 2010 11 49.3
420 2010 12 92.1
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