createlfobj: Create an lfobj for further Low Flow Analysis
In lfstat: Calculation of Low Flow Statistics for Daily Stream Flow Data
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Generic function for creating a low flow object (lfobj). Low flow objects can be
created from a time series of daily flow, a data.frame with columns
"flow", "day", "month" and "year".
Usage
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createlfobj(x, ...)
## S3 method for class 'data.frame'
createlfobj(x, hyearstart = NULL, baseflow = TRUE,
meta = list(),...)
## S3 method for class 'ts'
createlfobj(x,
startdate,
dateformat = "%d/%m/%Y",
...)
## S3 method for class 'lfobj'
createlfobj(x, hyearstart = NULL, baseflow = NULL,
meta = NULL,...)
Arguments
x
An object out of which a lfobj should be created
hyearstart
integer between 1 and 12, indicating the start of the hydrological year.
baseflow
logical, should the baseflow curve be calculated? Needed, if you want
to apply 'bfplot' or 'BFI' later on.
meta
A list of meta-information
startdate
start of the time-series
dateformat
Format of the startdate
...
Additional arguments, passed on to createlfobj.data.frame.
Details
'hyearstart' defines the starting month of the hydrological year. If
'hyearstart' is greater then 6.5, the hydrological year starts earlier
then the actual date, e.g. hyearstart = 10, then the 1st of October 2011
is part of the hydrological year 2012. If hyearstart = 4, then the 31st
of March 2011 is part of the hydrological year 2010.
When creating an object of class lfobj with the aforementioned functions, eventually createlfobj.data.frame is called.
Value
An object of class 'lfobj'.
Author(s)
Daniel Koffler and Gregor Laaha
References
Gustard, A. & Demuth, S. (2009) (Eds) Manual on Low-flow Estimation and Prediction. Operational Hydrology Report No. 50, WMO-No. 1029, 136p.
See Also
Examples
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12
#Creating a lfobj from a timeseries
#Some sample data:
somevalues <- rexp(365)
#Convert to time series:
time <- ts(somevalues)
#Lets say our data contains values from one hydrological year (Oct-Sep)
#starting on 1. Oct. 1992:
myriver <- createlfobj(time, startdate = "01/10/1992",hyearstart = 10)
#Add meta-data
createlfobj(myriver, meta = list(river = "myriver"))
Example output
Loading required package: xts
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: lmom
Loading required package: lattice
day month year flow hyear baseflow
1 1 10 1992 0.135703538 1993 NA
2 2 10 1992 0.241384182 1993 NA
3 3 10 1992 1.055490454 1993 NA
4 4 10 1992 2.126107206 1993 NA
5 5 10 1992 1.824049957 1993 NA
6 6 10 1992 0.119822959 1993 0.119822959
7 7 10 1992 1.395823140 1993 0.113186216
8 8 10 1992 0.507598365 1993 0.106549474
9 9 10 1992 3.666227763 1993 0.099912731
10 10 10 1992 0.851863368 1993 0.093275989
11 11 10 1992 1.552450932 1993 0.086639246
12 12 10 1992 1.314434863 1993 0.080002503
13 13 10 1992 0.322705602 1993 0.073365761
14 14 10 1992 0.159011429 1993 0.066729018
15 15 10 1992 1.193478497 1993 0.060092276
16 16 10 1992 1.340792176 1993 0.053455533
17 17 10 1992 0.511494406 1993 0.046818791
18 18 10 1992 0.040182048 1993 0.040182048
19 19 10 1992 0.083625955 1993 0.037666488
20 20 10 1992 1.092515942 1993 0.035150927
21 21 10 1992 2.006218674 1993 0.032635367
22 22 10 1992 1.343654065 1993 0.030119806
23 23 10 1992 1.214205909 1993 0.027604246
24 24 10 1992 0.592108749 1993 0.025088686
25 25 10 1992 0.057766066 1993 0.022573125
26 26 10 1992 0.269741248 1993 0.020057565
27 27 10 1992 0.511184744 1993 0.017542004
28 28 10 1992 0.990997495 1993 0.015026444
29 29 10 1992 0.012510884 1993 0.012510884
30 30 10 1992 0.673919527 1993 0.021775446
31 31 10 1992 0.898219775 1993 0.031040008
32 1 11 1992 0.040237258 1993 0.040237258
33 2 11 1992 2.630550572 1993 0.049569132
34 3 11 1992 0.543065958 1993 0.058833694
35 4 11 1992 0.050911779 1993 0.050911779
36 5 11 1992 0.498672652 1993 0.077362818
37 6 11 1992 0.363561867 1993 0.086627380
38 7 11 1992 0.497077176 1993 0.095891942
39 8 11 1992 0.514824112 1993 0.105156504
40 9 11 1992 1.471060367 1993 0.114421066
41 10 11 1992 1.145224282 1993 0.123685629
42 11 11 1992 0.410387257 1993 0.132950191
43 12 11 1992 0.329861554 1993 0.142214753
44 13 11 1992 1.987932249 1993 0.151479315
45 14 11 1992 0.965087791 1993 0.160743877
46 15 11 1992 0.170008439 1993 0.170008439
47 16 11 1992 1.091687245 1993 0.161848633
48 17 11 1992 0.376746461 1993 0.153688827
49 18 11 1992 1.364632811 1993 0.145529021
50 19 11 1992 0.287383301 1993 0.137369214
51 20 11 1992 1.317861862 1993 0.129209408
52 21 11 1992 0.719767823 1993 0.121049602
53 22 11 1992 0.423467996 1993 0.112889796
54 23 11 1992 0.375696612 1993 0.104729990
55 24 11 1992 0.611073628 1993 0.096570184
56 25 11 1992 1.193713938 1993 0.088410378
57 26 11 1992 2.745928200 1993 0.080250571
58 27 11 1992 0.554191673 1993 0.072090765
59 28 11 1992 0.448985659 1993 0.063930959
60 29 11 1992 1.136815197 1993 0.055771153
61 30 11 1992 0.047611347 1993 0.047611347
62 1 12 1992 0.459644582 1993 0.045471748
63 2 12 1992 0.156090474 1993 0.043332149
64 3 12 1992 0.183459826 1993 0.041192550
65 4 12 1992 0.814749809 1993 0.039052951
66 5 12 1992 0.058842742 1993 0.036913352
67 6 12 1992 2.132848518 1993 0.034773753
68 7 12 1992 0.840736319 1993 0.032634154
69 8 12 1992 0.462174254 1993 0.030494555
70 9 12 1992 0.313680399 1993 0.028354956
71 10 12 1992 0.734461111 1993 0.026215357
72 11 12 1992 0.440037474 1993 0.024075758
73 12 12 1992 0.568015197 1993 0.021936159
74 13 12 1992 0.263668623 1993 0.019796560
75 14 12 1992 0.253714290 1993 0.017656961
76 15 12 1992 3.874709477 1993 0.015517362
77 16 12 1992 0.654266195 1993 0.013377764
78 17 12 1992 0.212030082 1993 0.011238165
79 18 12 1992 0.038893625 1993 0.009098566
80 19 12 1992 0.006958967 1993 0.006958967
81 20 12 1992 2.911652423 1993 0.006853572
82 21 12 1992 1.668698123 1993 0.006748176
83 22 12 1992 0.081201158 1993 0.006642781
84 23 12 1992 0.117095943 1993 0.006537386
85 24 12 1992 4.534395743 1993 0.006431991
86 25 12 1992 1.269908248 1993 0.006326596
87 26 12 1992 1.307345227 1993 0.006221201
88 27 12 1992 0.131033608 1993 0.006115806
89 28 12 1992 3.941332226 1993 0.006010411
90 29 12 1992 1.151045007 1993 0.005905016
91 30 12 1992 0.742542279 1993 0.005799620
92 31 12 1992 1.054456584 1993 0.005694225
93 1 1 1993 3.066501603 1993 0.005588830
94 2 1 1993 0.469194255 1993 0.005483435
95 3 1 1993 0.005378040 1993 0.005378040
96 4 1 1993 1.556472835 1993 0.012352364
97 5 1 1993 0.461068866 1993 0.019326689
98 6 1 1993 0.625559737 1993 0.026301013
99 7 1 1993 0.902410979 1993 0.033275338
100 8 1 1993 0.601579786 1993 0.040249662
101 9 1 1993 0.047223987 1993 0.047223987
102 10 1 1993 0.372631901 1993 0.046103267
103 11 1 1993 0.198844838 1993 0.044982547
104 12 1 1993 0.285569060 1993 0.043861827
105 13 1 1993 0.591220535 1993 0.042741108
106 14 1 1993 1.531592198 1993 0.041620388
107 15 1 1993 0.375179162 1993 0.040499668
108 16 1 1993 1.046732096 1993 0.039378949
109 17 1 1993 0.043728997 1993 0.038258229
110 18 1 1993 1.351692772 1993 0.037137509
111 19 1 1993 0.805443090 1993 0.036016789
112 20 1 1993 0.222270039 1993 0.034896070
113 21 1 1993 2.650345189 1993 0.033775350
114 22 1 1993 0.350934830 1993 0.032654630
115 23 1 1993 0.031533910 1993 0.031533910
116 24 1 1993 2.209239649 1993 0.034958560
117 25 1 1993 0.274087123 1993 0.038383210
118 26 1 1993 0.361857116 1993 0.041807860
119 27 1 1993 3.669019014 1993 0.045232510
120 28 1 1993 1.022037989 1993 0.048657160
121 29 1 1993 0.628858947 1993 0.052081810
122 30 1 1993 0.294581531 1993 0.055506460
123 31 1 1993 3.964278331 1993 0.058931110
124 1 2 1993 0.321667299 1993 0.062355760
125 2 2 1993 2.100329542 1993 0.065780410
126 3 2 1993 0.205111133 1993 0.069205060
127 4 2 1993 0.088676794 1993 0.072629710
128 5 2 1993 0.375170146 1993 0.076054359
129 6 2 1993 0.079479009 1993 0.079479009
130 7 2 1993 0.735761323 1993 0.087910862
131 8 2 1993 0.820728811 1993 0.096342714
132 9 2 1993 0.546641760 1993 0.104774567
133 10 2 1993 3.714905085 1993 0.113206419
134 11 2 1993 0.456631402 1993 0.121638272
135 12 2 1993 1.044288895 1993 0.130070124
136 13 2 1993 5.057684229 1993 0.138501977
137 14 2 1993 0.146933829 1993 0.146933829
138 15 2 1993 0.841822445 1993 0.140613048
139 16 2 1993 0.299845302 1993 0.134292268
140 17 2 1993 0.175883157 1993 0.127971487
141 18 2 1993 1.786978841 1993 0.121650707
142 19 2 1993 1.342299481 1993 0.115329926
143 20 2 1993 0.292767913 1993 0.109009146
144 21 2 1993 1.004734630 1993 0.102688365
145 22 2 1993 1.644812768 1993 0.096367584
146 23 2 1993 0.264622528 1993 0.090046804
147 24 2 1993 0.178817336 1993 0.083726023
148 25 2 1993 0.428559368 1993 0.077405243
149 26 2 1993 1.861951439 1993 0.071084462
150 27 2 1993 0.064763682 1993 0.064763682
151 28 2 1993 3.042109501 1993 0.062623874
152 1 3 1993 0.060484067 1993 0.060484067
153 2 3 1993 0.557946849 1993 0.060161773
154 3 3 1993 0.873766476 1993 0.059839480
155 4 3 1993 2.312502256 1993 0.059517187
156 5 3 1993 0.162120094 1993 0.059194894
157 6 3 1993 0.444458092 1993 0.058872601
158 7 3 1993 0.300335609 1993 0.058550307
159 8 3 1993 1.945180213 1993 0.058228014
160 9 3 1993 0.266170579 1993 0.057905721
161 10 3 1993 1.253439654 1993 0.057583428
162 11 3 1993 0.230410296 1993 0.057261135
163 12 3 1993 0.056938842 1993 0.056938842
164 13 3 1993 0.213036601 1993 0.057098880
165 14 3 1993 1.295113941 1993 0.057258918
166 15 3 1993 0.129295838 1993 0.057418956
167 16 3 1993 0.066015462 1993 0.057578995
168 17 3 1993 0.934861463 1993 0.057739033
169 18 3 1993 1.110073673 1993 0.057899071
170 19 3 1993 0.680206667 1993 0.058059110
171 20 3 1993 2.494303314 1993 0.058219148
172 21 3 1993 0.888509786 1993 0.058379186
173 22 3 1993 0.495694379 1993 0.058539224
174 23 3 1993 0.121658320 1993 0.058699263
175 24 3 1993 1.722158628 1993 0.058859301
176 25 3 1993 0.059019339 1993 0.059019339
177 26 3 1993 0.507952960 1993 0.057592914
178 27 3 1993 2.182193880 1993 0.056166489
179 28 3 1993 0.355230848 1993 0.054740063
180 29 3 1993 1.662734833 1993 0.053313638
181 30 3 1993 0.134305325 1993 0.051887212
182 31 3 1993 0.677637150 1993 0.050460787
183 1 4 1993 0.253235521 1993 0.049034362
184 2 4 1993 0.239562473 1993 0.047607936
185 3 4 1993 0.951795149 1993 0.046181511
186 4 4 1993 2.694495829 1993 0.044755085
187 5 4 1993 1.011138019 1993 0.043328660
188 6 4 1993 0.240717757 1993 0.041902235
189 7 4 1993 0.138041535 1993 0.040475809
190 8 4 1993 0.517893473 1993 0.039049384
191 9 4 1993 0.595780337 1993 0.037622959
192 10 4 1993 1.736618069 1993 0.036196533
193 11 4 1993 0.106741304 1993 0.034770108
194 12 4 1993 0.644264120 1993 0.033343682
195 13 4 1993 0.883848962 1993 0.031917257
196 14 4 1993 1.212534309 1993 0.030490832
197 15 4 1993 1.768814271 1993 0.029064406
198 16 4 1993 0.220641559 1993 0.027637981
199 17 4 1993 2.458107365 1993 0.026211556
200 18 4 1993 0.034545023 1993 0.024785130
201 19 4 1993 0.036386617 1993 0.023358705
202 20 4 1993 0.355528095 1993 0.021932279
203 21 4 1993 1.664421242 1993 0.020505854
204 22 4 1993 0.019079429 1993 0.019079429
205 23 4 1993 4.008038988 1993 0.019009855
206 24 4 1993 0.396498399 1993 0.018940282
207 25 4 1993 0.643462360 1993 0.018870709
208 26 4 1993 0.693014546 1993 0.018801136
209 27 4 1993 0.381386660 1993 0.018731562
210 28 4 1993 1.086040597 1993 0.018661989
211 29 4 1993 0.814960338 1993 0.018592416
212 30 4 1993 2.629630701 1993 0.018522843
213 1 5 1993 0.850066137 1993 0.018453269
214 2 5 1993 0.810371418 1993 0.018383696
215 3 5 1993 0.872389526 1993 0.018314123
216 4 5 1993 0.223921043 1993 0.018244550
217 5 5 1993 2.059324089 1993 0.018174977
218 6 5 1993 2.680206416 1993 0.018105403
219 7 5 1993 0.649861161 1993 0.018035830
220 8 5 1993 0.252924170 1993 0.017966257
221 9 5 1993 1.381844053 1993 0.017896684
222 10 5 1993 0.017827110 1993 0.017827110
223 11 5 1993 2.407549163 1993 0.020673999
224 12 5 1993 1.143271844 1993 0.023520887
225 13 5 1993 0.231697290 1993 0.026367775
226 14 5 1993 0.050044636 1993 0.029214663
227 15 5 1993 0.850306808 1993 0.032061552
228 16 5 1993 1.729389585 1993 0.034908440
229 17 5 1993 0.473269749 1993 0.037755328
230 18 5 1993 0.690739750 1993 0.040602216
231 19 5 1993 0.922916927 1993 0.043449105
232 20 5 1993 0.196001899 1993 0.046295993
233 21 5 1993 3.356960721 1993 0.049142881
234 22 5 1993 1.895984534 1993 0.051989770
235 23 5 1993 0.341215380 1993 0.054836658
236 24 5 1993 0.164865820 1993 0.057683546
237 25 5 1993 0.147820509 1993 0.060530434
238 26 5 1993 1.449963037 1993 0.063377323
239 27 5 1993 3.998888930 1993 0.066224211
240 28 5 1993 0.069071099 1993 0.069071099
241 29 5 1993 3.733106112 1993 0.067235085
242 30 5 1993 0.130671990 1993 0.065399072
243 31 5 1993 1.428448999 1993 0.063563058
244 1 6 1993 1.087555803 1993 0.061727044
245 2 6 1993 1.167149314 1993 0.059891030
246 3 6 1993 0.466414638 1993 0.058055017
247 4 6 1993 0.234010779 1993 0.056219003
248 5 6 1993 2.336840453 1993 0.054382989
249 6 6 1993 0.529781862 1993 0.052546976
250 7 6 1993 0.654193730 1993 0.050710962
251 8 6 1993 0.859507783 1993 0.048874948
252 9 6 1993 3.083579883 1993 0.047038934
253 10 6 1993 1.533954244 1993 0.045202921
254 11 6 1993 1.821037691 1993 0.043366907
255 12 6 1993 0.463917130 1993 0.041530893
256 13 6 1993 0.282220218 1993 0.039694879
257 14 6 1993 0.583697198 1993 0.037858866
258 15 6 1993 0.036022852 1993 0.036022852
259 16 6 1993 1.564861608 1993 0.034122201
260 17 6 1993 1.507857775 1993 0.032221549
261 18 6 1993 0.749483458 1993 0.030320898
262 19 6 1993 0.747489942 1993 0.028420247
263 20 6 1993 0.665875769 1993 0.026519596
264 21 6 1993 0.326817280 1993 0.024618944
265 22 6 1993 0.829263492 1993 0.022718293
266 23 6 1993 3.182762831 1993 0.020817642
267 24 6 1993 0.018916990 1993 0.018916990
268 25 6 1993 1.166441439 1993 0.018444252
269 26 6 1993 0.049650779 1993 0.017971514
270 27 6 1993 0.187820044 1993 0.017498776
271 28 6 1993 0.069256152 1993 0.017026038
272 29 6 1993 0.069820122 1993 0.016553300
273 30 6 1993 1.037647831 1993 0.016080562
274 1 7 1993 2.527554290 1993 0.015607823
275 2 7 1993 1.031767692 1993 0.015135085
276 3 7 1993 4.167088259 1993 0.014662347
277 4 7 1993 1.011334928 1993 0.014189609
278 5 7 1993 0.580522106 1993 0.013716871
279 6 7 1993 0.480049373 1993 0.013244133
280 7 7 1993 0.012771394 1993 0.012771394
281 8 7 1993 0.210044869 1993 0.014177893
282 9 7 1993 0.075360319 1993 0.015584391
283 10 7 1993 0.394711830 1993 0.016990889
284 11 7 1993 0.297822178 1993 0.018397387
285 12 7 1993 0.280772130 1993 0.019803885
286 13 7 1993 0.835308786 1993 0.021210383
287 14 7 1993 0.696279061 1993 0.022616881
288 15 7 1993 4.448311914 1993 0.024023379
289 16 7 1993 1.771944765 1993 0.025429877
290 17 7 1993 0.312407079 1993 0.026836375
291 18 7 1993 0.028242874 1993 0.028242874
292 19 7 1993 3.124502296 1993 0.030892669
293 20 7 1993 1.894214466 1993 0.033542464
294 21 7 1993 4.551191408 1993 0.036192259
295 22 7 1993 0.495621704 1993 0.038842054
296 23 7 1993 0.264855560 1993 0.041491849
297 24 7 1993 0.319105994 1993 0.044141644
298 25 7 1993 0.851387854 1993 0.046791439
299 26 7 1993 0.370011190 1993 0.049441234
300 27 7 1993 0.173546176 1993 0.052091029
301 28 7 1993 0.338697834 1993 0.054740824
302 29 7 1993 0.259286555 1993 0.057390620
303 30 7 1993 0.343567747 1993 0.060040415
304 31 7 1993 0.062690210 1993 0.062690210
305 1 8 1993 2.952628866 1993 0.062706108
306 2 8 1993 0.455731789 1993 0.062722005
307 3 8 1993 2.115795767 1993 0.062737903
308 4 8 1993 0.686919121 1993 0.062753801
309 5 8 1993 1.004212353 1993 0.062769699
310 6 8 1993 4.827337015 1993 0.062785597
311 7 8 1993 1.651359951 1993 0.062801495
312 8 8 1993 0.694940958 1993 0.062817393
313 9 8 1993 1.335656692 1993 0.062833291
314 10 8 1993 0.678288937 1993 0.062849188
315 11 8 1993 0.543795786 1993 0.062865086
316 12 8 1993 0.265314251 1993 0.062880984
317 13 8 1993 1.067219684 1993 0.062896882
318 14 8 1993 1.725598667 1993 0.062912780
319 15 8 1993 0.577680697 1993 0.062928678
320 16 8 1993 1.351537238 1993 0.062944576
321 17 8 1993 1.221604940 1993 0.062960474
322 18 8 1993 0.062976371 1993 0.062976371
323 19 8 1993 0.081416917 1993 0.061108806
324 20 8 1993 0.732235938 1993 0.059241241
325 21 8 1993 0.822739475 1993 0.057373676
326 22 8 1993 0.746164257 1993 0.055506110
327 23 8 1993 0.397740081 1993 0.053638545
328 24 8 1993 1.227597119 1993 0.051770980
329 25 8 1993 0.468270140 1993 0.049903414
330 26 8 1993 0.549358465 1993 0.048035849
331 27 8 1993 1.673825556 1993 0.046168284
332 28 8 1993 1.543473633 1993 0.044300718
333 29 8 1993 0.393868398 1993 0.042433153
334 30 8 1993 0.413680286 1993 0.040565588
335 31 8 1993 0.265511805 1993 0.038698022
336 1 9 1993 0.067907217 1993 0.036830457
337 2 9 1993 1.820461046 1993 0.034962892
338 3 9 1993 0.561427663 1993 0.033095326
339 4 9 1993 0.980945207 1993 0.031227761
340 5 9 1993 0.065315928 1993 0.029360196
341 6 9 1993 0.867047544 1993 0.027492630
342 7 9 1993 0.025625065 1993 0.025625065
343 8 9 1993 1.509794072 1993 0.031192117
344 9 9 1993 0.794104115 1993 0.036759169
345 10 9 1993 0.600223558 1993 0.042326220
346 11 9 1993 0.383868992 1993 0.047893272
347 12 9 1993 1.411932585 1993 0.053460324
348 13 9 1993 1.035336850 1993 0.059027376
349 14 9 1993 1.859107423 1993 0.064594427
350 15 9 1993 2.202021955 1993 0.070161479
351 16 9 1993 1.627769170 1993 0.075728531
352 17 9 1993 0.320523766 1993 0.081295583
353 18 9 1993 0.790911707 1993 0.086862634
354 19 9 1993 0.819850214 1993 0.092429686
355 20 9 1993 0.185897719 1993 0.097996738
356 21 9 1993 3.090191670 1993 0.103563790
357 22 9 1993 0.109130842 1993 0.109130842
358 23 9 1993 0.583477669 1993 NA
359 24 9 1993 1.152455971 1993 NA
360 25 9 1993 0.980356697 1993 NA
361 26 9 1993 2.391479460 1993 NA
362 27 9 1993 1.093013070 1993 NA
363 28 9 1993 2.871354121 1993 NA
364 29 9 1993 1.468341667 1993 NA
365 30 9 1993 1.961570699 1993 NA
lfstat documentation built on May 2, 2019, 6:07 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Generic function for creating a low flow object (lfobj). Low flow objects can be created from a time series of daily flow, a data.frame with columns "flow", "day", "month" and "year".
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | createlfobj(x, ...)
## S3 method for class 'data.frame'
createlfobj(x, hyearstart = NULL, baseflow = TRUE,
meta = list(),...)
## S3 method for class 'ts'
createlfobj(x,
startdate,
dateformat = "%d/%m/%Y",
...)
## S3 method for class 'lfobj'
createlfobj(x, hyearstart = NULL, baseflow = NULL,
meta = NULL,...)
|
Arguments
x |
An object out of which a lfobj should be created |
hyearstart |
integer between 1 and 12, indicating the start of the hydrological year. |
baseflow |
logical, should the baseflow curve be calculated? Needed, if you want to apply 'bfplot' or 'BFI' later on. |
meta |
A list of meta-information |
startdate |
start of the time-series |
dateformat |
Format of the startdate |
... |
Additional arguments, passed on to |
Details
'hyearstart' defines the starting month of the hydrological year. If 'hyearstart' is greater then 6.5, the hydrological year starts earlier then the actual date, e.g. hyearstart = 10, then the 1st of October 2011 is part of the hydrological year 2012. If hyearstart = 4, then the 31st of March 2011 is part of the hydrological year 2010.
When creating an object of class lfobj with the aforementioned functions, eventually createlfobj.data.frame is called.
Value
An object of class 'lfobj'.
Author(s)
Daniel Koffler and Gregor Laaha
References
Gustard, A. & Demuth, S. (2009) (Eds) Manual on Low-flow Estimation and Prediction. Operational Hydrology Report No. 50, WMO-No. 1029, 136p.
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | #Creating a lfobj from a timeseries
#Some sample data:
somevalues <- rexp(365)
#Convert to time series:
time <- ts(somevalues)
#Lets say our data contains values from one hydrological year (Oct-Sep)
#starting on 1. Oct. 1992:
myriver <- createlfobj(time, startdate = "01/10/1992",hyearstart = 10)
#Add meta-data
createlfobj(myriver, meta = list(river = "myriver"))
|
Example output
Loading required package: xts
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: lmom
Loading required package: lattice
day month year flow hyear baseflow
1 1 10 1992 0.135703538 1993 NA
2 2 10 1992 0.241384182 1993 NA
3 3 10 1992 1.055490454 1993 NA
4 4 10 1992 2.126107206 1993 NA
5 5 10 1992 1.824049957 1993 NA
6 6 10 1992 0.119822959 1993 0.119822959
7 7 10 1992 1.395823140 1993 0.113186216
8 8 10 1992 0.507598365 1993 0.106549474
9 9 10 1992 3.666227763 1993 0.099912731
10 10 10 1992 0.851863368 1993 0.093275989
11 11 10 1992 1.552450932 1993 0.086639246
12 12 10 1992 1.314434863 1993 0.080002503
13 13 10 1992 0.322705602 1993 0.073365761
14 14 10 1992 0.159011429 1993 0.066729018
15 15 10 1992 1.193478497 1993 0.060092276
16 16 10 1992 1.340792176 1993 0.053455533
17 17 10 1992 0.511494406 1993 0.046818791
18 18 10 1992 0.040182048 1993 0.040182048
19 19 10 1992 0.083625955 1993 0.037666488
20 20 10 1992 1.092515942 1993 0.035150927
21 21 10 1992 2.006218674 1993 0.032635367
22 22 10 1992 1.343654065 1993 0.030119806
23 23 10 1992 1.214205909 1993 0.027604246
24 24 10 1992 0.592108749 1993 0.025088686
25 25 10 1992 0.057766066 1993 0.022573125
26 26 10 1992 0.269741248 1993 0.020057565
27 27 10 1992 0.511184744 1993 0.017542004
28 28 10 1992 0.990997495 1993 0.015026444
29 29 10 1992 0.012510884 1993 0.012510884
30 30 10 1992 0.673919527 1993 0.021775446
31 31 10 1992 0.898219775 1993 0.031040008
32 1 11 1992 0.040237258 1993 0.040237258
33 2 11 1992 2.630550572 1993 0.049569132
34 3 11 1992 0.543065958 1993 0.058833694
35 4 11 1992 0.050911779 1993 0.050911779
36 5 11 1992 0.498672652 1993 0.077362818
37 6 11 1992 0.363561867 1993 0.086627380
38 7 11 1992 0.497077176 1993 0.095891942
39 8 11 1992 0.514824112 1993 0.105156504
40 9 11 1992 1.471060367 1993 0.114421066
41 10 11 1992 1.145224282 1993 0.123685629
42 11 11 1992 0.410387257 1993 0.132950191
43 12 11 1992 0.329861554 1993 0.142214753
44 13 11 1992 1.987932249 1993 0.151479315
45 14 11 1992 0.965087791 1993 0.160743877
46 15 11 1992 0.170008439 1993 0.170008439
47 16 11 1992 1.091687245 1993 0.161848633
48 17 11 1992 0.376746461 1993 0.153688827
49 18 11 1992 1.364632811 1993 0.145529021
50 19 11 1992 0.287383301 1993 0.137369214
51 20 11 1992 1.317861862 1993 0.129209408
52 21 11 1992 0.719767823 1993 0.121049602
53 22 11 1992 0.423467996 1993 0.112889796
54 23 11 1992 0.375696612 1993 0.104729990
55 24 11 1992 0.611073628 1993 0.096570184
56 25 11 1992 1.193713938 1993 0.088410378
57 26 11 1992 2.745928200 1993 0.080250571
58 27 11 1992 0.554191673 1993 0.072090765
59 28 11 1992 0.448985659 1993 0.063930959
60 29 11 1992 1.136815197 1993 0.055771153
61 30 11 1992 0.047611347 1993 0.047611347
62 1 12 1992 0.459644582 1993 0.045471748
63 2 12 1992 0.156090474 1993 0.043332149
64 3 12 1992 0.183459826 1993 0.041192550
65 4 12 1992 0.814749809 1993 0.039052951
66 5 12 1992 0.058842742 1993 0.036913352
67 6 12 1992 2.132848518 1993 0.034773753
68 7 12 1992 0.840736319 1993 0.032634154
69 8 12 1992 0.462174254 1993 0.030494555
70 9 12 1992 0.313680399 1993 0.028354956
71 10 12 1992 0.734461111 1993 0.026215357
72 11 12 1992 0.440037474 1993 0.024075758
73 12 12 1992 0.568015197 1993 0.021936159
74 13 12 1992 0.263668623 1993 0.019796560
75 14 12 1992 0.253714290 1993 0.017656961
76 15 12 1992 3.874709477 1993 0.015517362
77 16 12 1992 0.654266195 1993 0.013377764
78 17 12 1992 0.212030082 1993 0.011238165
79 18 12 1992 0.038893625 1993 0.009098566
80 19 12 1992 0.006958967 1993 0.006958967
81 20 12 1992 2.911652423 1993 0.006853572
82 21 12 1992 1.668698123 1993 0.006748176
83 22 12 1992 0.081201158 1993 0.006642781
84 23 12 1992 0.117095943 1993 0.006537386
85 24 12 1992 4.534395743 1993 0.006431991
86 25 12 1992 1.269908248 1993 0.006326596
87 26 12 1992 1.307345227 1993 0.006221201
88 27 12 1992 0.131033608 1993 0.006115806
89 28 12 1992 3.941332226 1993 0.006010411
90 29 12 1992 1.151045007 1993 0.005905016
91 30 12 1992 0.742542279 1993 0.005799620
92 31 12 1992 1.054456584 1993 0.005694225
93 1 1 1993 3.066501603 1993 0.005588830
94 2 1 1993 0.469194255 1993 0.005483435
95 3 1 1993 0.005378040 1993 0.005378040
96 4 1 1993 1.556472835 1993 0.012352364
97 5 1 1993 0.461068866 1993 0.019326689
98 6 1 1993 0.625559737 1993 0.026301013
99 7 1 1993 0.902410979 1993 0.033275338
100 8 1 1993 0.601579786 1993 0.040249662
101 9 1 1993 0.047223987 1993 0.047223987
102 10 1 1993 0.372631901 1993 0.046103267
103 11 1 1993 0.198844838 1993 0.044982547
104 12 1 1993 0.285569060 1993 0.043861827
105 13 1 1993 0.591220535 1993 0.042741108
106 14 1 1993 1.531592198 1993 0.041620388
107 15 1 1993 0.375179162 1993 0.040499668
108 16 1 1993 1.046732096 1993 0.039378949
109 17 1 1993 0.043728997 1993 0.038258229
110 18 1 1993 1.351692772 1993 0.037137509
111 19 1 1993 0.805443090 1993 0.036016789
112 20 1 1993 0.222270039 1993 0.034896070
113 21 1 1993 2.650345189 1993 0.033775350
114 22 1 1993 0.350934830 1993 0.032654630
115 23 1 1993 0.031533910 1993 0.031533910
116 24 1 1993 2.209239649 1993 0.034958560
117 25 1 1993 0.274087123 1993 0.038383210
118 26 1 1993 0.361857116 1993 0.041807860
119 27 1 1993 3.669019014 1993 0.045232510
120 28 1 1993 1.022037989 1993 0.048657160
121 29 1 1993 0.628858947 1993 0.052081810
122 30 1 1993 0.294581531 1993 0.055506460
123 31 1 1993 3.964278331 1993 0.058931110
124 1 2 1993 0.321667299 1993 0.062355760
125 2 2 1993 2.100329542 1993 0.065780410
126 3 2 1993 0.205111133 1993 0.069205060
127 4 2 1993 0.088676794 1993 0.072629710
128 5 2 1993 0.375170146 1993 0.076054359
129 6 2 1993 0.079479009 1993 0.079479009
130 7 2 1993 0.735761323 1993 0.087910862
131 8 2 1993 0.820728811 1993 0.096342714
132 9 2 1993 0.546641760 1993 0.104774567
133 10 2 1993 3.714905085 1993 0.113206419
134 11 2 1993 0.456631402 1993 0.121638272
135 12 2 1993 1.044288895 1993 0.130070124
136 13 2 1993 5.057684229 1993 0.138501977
137 14 2 1993 0.146933829 1993 0.146933829
138 15 2 1993 0.841822445 1993 0.140613048
139 16 2 1993 0.299845302 1993 0.134292268
140 17 2 1993 0.175883157 1993 0.127971487
141 18 2 1993 1.786978841 1993 0.121650707
142 19 2 1993 1.342299481 1993 0.115329926
143 20 2 1993 0.292767913 1993 0.109009146
144 21 2 1993 1.004734630 1993 0.102688365
145 22 2 1993 1.644812768 1993 0.096367584
146 23 2 1993 0.264622528 1993 0.090046804
147 24 2 1993 0.178817336 1993 0.083726023
148 25 2 1993 0.428559368 1993 0.077405243
149 26 2 1993 1.861951439 1993 0.071084462
150 27 2 1993 0.064763682 1993 0.064763682
151 28 2 1993 3.042109501 1993 0.062623874
152 1 3 1993 0.060484067 1993 0.060484067
153 2 3 1993 0.557946849 1993 0.060161773
154 3 3 1993 0.873766476 1993 0.059839480
155 4 3 1993 2.312502256 1993 0.059517187
156 5 3 1993 0.162120094 1993 0.059194894
157 6 3 1993 0.444458092 1993 0.058872601
158 7 3 1993 0.300335609 1993 0.058550307
159 8 3 1993 1.945180213 1993 0.058228014
160 9 3 1993 0.266170579 1993 0.057905721
161 10 3 1993 1.253439654 1993 0.057583428
162 11 3 1993 0.230410296 1993 0.057261135
163 12 3 1993 0.056938842 1993 0.056938842
164 13 3 1993 0.213036601 1993 0.057098880
165 14 3 1993 1.295113941 1993 0.057258918
166 15 3 1993 0.129295838 1993 0.057418956
167 16 3 1993 0.066015462 1993 0.057578995
168 17 3 1993 0.934861463 1993 0.057739033
169 18 3 1993 1.110073673 1993 0.057899071
170 19 3 1993 0.680206667 1993 0.058059110
171 20 3 1993 2.494303314 1993 0.058219148
172 21 3 1993 0.888509786 1993 0.058379186
173 22 3 1993 0.495694379 1993 0.058539224
174 23 3 1993 0.121658320 1993 0.058699263
175 24 3 1993 1.722158628 1993 0.058859301
176 25 3 1993 0.059019339 1993 0.059019339
177 26 3 1993 0.507952960 1993 0.057592914
178 27 3 1993 2.182193880 1993 0.056166489
179 28 3 1993 0.355230848 1993 0.054740063
180 29 3 1993 1.662734833 1993 0.053313638
181 30 3 1993 0.134305325 1993 0.051887212
182 31 3 1993 0.677637150 1993 0.050460787
183 1 4 1993 0.253235521 1993 0.049034362
184 2 4 1993 0.239562473 1993 0.047607936
185 3 4 1993 0.951795149 1993 0.046181511
186 4 4 1993 2.694495829 1993 0.044755085
187 5 4 1993 1.011138019 1993 0.043328660
188 6 4 1993 0.240717757 1993 0.041902235
189 7 4 1993 0.138041535 1993 0.040475809
190 8 4 1993 0.517893473 1993 0.039049384
191 9 4 1993 0.595780337 1993 0.037622959
192 10 4 1993 1.736618069 1993 0.036196533
193 11 4 1993 0.106741304 1993 0.034770108
194 12 4 1993 0.644264120 1993 0.033343682
195 13 4 1993 0.883848962 1993 0.031917257
196 14 4 1993 1.212534309 1993 0.030490832
197 15 4 1993 1.768814271 1993 0.029064406
198 16 4 1993 0.220641559 1993 0.027637981
199 17 4 1993 2.458107365 1993 0.026211556
200 18 4 1993 0.034545023 1993 0.024785130
201 19 4 1993 0.036386617 1993 0.023358705
202 20 4 1993 0.355528095 1993 0.021932279
203 21 4 1993 1.664421242 1993 0.020505854
204 22 4 1993 0.019079429 1993 0.019079429
205 23 4 1993 4.008038988 1993 0.019009855
206 24 4 1993 0.396498399 1993 0.018940282
207 25 4 1993 0.643462360 1993 0.018870709
208 26 4 1993 0.693014546 1993 0.018801136
209 27 4 1993 0.381386660 1993 0.018731562
210 28 4 1993 1.086040597 1993 0.018661989
211 29 4 1993 0.814960338 1993 0.018592416
212 30 4 1993 2.629630701 1993 0.018522843
213 1 5 1993 0.850066137 1993 0.018453269
214 2 5 1993 0.810371418 1993 0.018383696
215 3 5 1993 0.872389526 1993 0.018314123
216 4 5 1993 0.223921043 1993 0.018244550
217 5 5 1993 2.059324089 1993 0.018174977
218 6 5 1993 2.680206416 1993 0.018105403
219 7 5 1993 0.649861161 1993 0.018035830
220 8 5 1993 0.252924170 1993 0.017966257
221 9 5 1993 1.381844053 1993 0.017896684
222 10 5 1993 0.017827110 1993 0.017827110
223 11 5 1993 2.407549163 1993 0.020673999
224 12 5 1993 1.143271844 1993 0.023520887
225 13 5 1993 0.231697290 1993 0.026367775
226 14 5 1993 0.050044636 1993 0.029214663
227 15 5 1993 0.850306808 1993 0.032061552
228 16 5 1993 1.729389585 1993 0.034908440
229 17 5 1993 0.473269749 1993 0.037755328
230 18 5 1993 0.690739750 1993 0.040602216
231 19 5 1993 0.922916927 1993 0.043449105
232 20 5 1993 0.196001899 1993 0.046295993
233 21 5 1993 3.356960721 1993 0.049142881
234 22 5 1993 1.895984534 1993 0.051989770
235 23 5 1993 0.341215380 1993 0.054836658
236 24 5 1993 0.164865820 1993 0.057683546
237 25 5 1993 0.147820509 1993 0.060530434
238 26 5 1993 1.449963037 1993 0.063377323
239 27 5 1993 3.998888930 1993 0.066224211
240 28 5 1993 0.069071099 1993 0.069071099
241 29 5 1993 3.733106112 1993 0.067235085
242 30 5 1993 0.130671990 1993 0.065399072
243 31 5 1993 1.428448999 1993 0.063563058
244 1 6 1993 1.087555803 1993 0.061727044
245 2 6 1993 1.167149314 1993 0.059891030
246 3 6 1993 0.466414638 1993 0.058055017
247 4 6 1993 0.234010779 1993 0.056219003
248 5 6 1993 2.336840453 1993 0.054382989
249 6 6 1993 0.529781862 1993 0.052546976
250 7 6 1993 0.654193730 1993 0.050710962
251 8 6 1993 0.859507783 1993 0.048874948
252 9 6 1993 3.083579883 1993 0.047038934
253 10 6 1993 1.533954244 1993 0.045202921
254 11 6 1993 1.821037691 1993 0.043366907
255 12 6 1993 0.463917130 1993 0.041530893
256 13 6 1993 0.282220218 1993 0.039694879
257 14 6 1993 0.583697198 1993 0.037858866
258 15 6 1993 0.036022852 1993 0.036022852
259 16 6 1993 1.564861608 1993 0.034122201
260 17 6 1993 1.507857775 1993 0.032221549
261 18 6 1993 0.749483458 1993 0.030320898
262 19 6 1993 0.747489942 1993 0.028420247
263 20 6 1993 0.665875769 1993 0.026519596
264 21 6 1993 0.326817280 1993 0.024618944
265 22 6 1993 0.829263492 1993 0.022718293
266 23 6 1993 3.182762831 1993 0.020817642
267 24 6 1993 0.018916990 1993 0.018916990
268 25 6 1993 1.166441439 1993 0.018444252
269 26 6 1993 0.049650779 1993 0.017971514
270 27 6 1993 0.187820044 1993 0.017498776
271 28 6 1993 0.069256152 1993 0.017026038
272 29 6 1993 0.069820122 1993 0.016553300
273 30 6 1993 1.037647831 1993 0.016080562
274 1 7 1993 2.527554290 1993 0.015607823
275 2 7 1993 1.031767692 1993 0.015135085
276 3 7 1993 4.167088259 1993 0.014662347
277 4 7 1993 1.011334928 1993 0.014189609
278 5 7 1993 0.580522106 1993 0.013716871
279 6 7 1993 0.480049373 1993 0.013244133
280 7 7 1993 0.012771394 1993 0.012771394
281 8 7 1993 0.210044869 1993 0.014177893
282 9 7 1993 0.075360319 1993 0.015584391
283 10 7 1993 0.394711830 1993 0.016990889
284 11 7 1993 0.297822178 1993 0.018397387
285 12 7 1993 0.280772130 1993 0.019803885
286 13 7 1993 0.835308786 1993 0.021210383
287 14 7 1993 0.696279061 1993 0.022616881
288 15 7 1993 4.448311914 1993 0.024023379
289 16 7 1993 1.771944765 1993 0.025429877
290 17 7 1993 0.312407079 1993 0.026836375
291 18 7 1993 0.028242874 1993 0.028242874
292 19 7 1993 3.124502296 1993 0.030892669
293 20 7 1993 1.894214466 1993 0.033542464
294 21 7 1993 4.551191408 1993 0.036192259
295 22 7 1993 0.495621704 1993 0.038842054
296 23 7 1993 0.264855560 1993 0.041491849
297 24 7 1993 0.319105994 1993 0.044141644
298 25 7 1993 0.851387854 1993 0.046791439
299 26 7 1993 0.370011190 1993 0.049441234
300 27 7 1993 0.173546176 1993 0.052091029
301 28 7 1993 0.338697834 1993 0.054740824
302 29 7 1993 0.259286555 1993 0.057390620
303 30 7 1993 0.343567747 1993 0.060040415
304 31 7 1993 0.062690210 1993 0.062690210
305 1 8 1993 2.952628866 1993 0.062706108
306 2 8 1993 0.455731789 1993 0.062722005
307 3 8 1993 2.115795767 1993 0.062737903
308 4 8 1993 0.686919121 1993 0.062753801
309 5 8 1993 1.004212353 1993 0.062769699
310 6 8 1993 4.827337015 1993 0.062785597
311 7 8 1993 1.651359951 1993 0.062801495
312 8 8 1993 0.694940958 1993 0.062817393
313 9 8 1993 1.335656692 1993 0.062833291
314 10 8 1993 0.678288937 1993 0.062849188
315 11 8 1993 0.543795786 1993 0.062865086
316 12 8 1993 0.265314251 1993 0.062880984
317 13 8 1993 1.067219684 1993 0.062896882
318 14 8 1993 1.725598667 1993 0.062912780
319 15 8 1993 0.577680697 1993 0.062928678
320 16 8 1993 1.351537238 1993 0.062944576
321 17 8 1993 1.221604940 1993 0.062960474
322 18 8 1993 0.062976371 1993 0.062976371
323 19 8 1993 0.081416917 1993 0.061108806
324 20 8 1993 0.732235938 1993 0.059241241
325 21 8 1993 0.822739475 1993 0.057373676
326 22 8 1993 0.746164257 1993 0.055506110
327 23 8 1993 0.397740081 1993 0.053638545
328 24 8 1993 1.227597119 1993 0.051770980
329 25 8 1993 0.468270140 1993 0.049903414
330 26 8 1993 0.549358465 1993 0.048035849
331 27 8 1993 1.673825556 1993 0.046168284
332 28 8 1993 1.543473633 1993 0.044300718
333 29 8 1993 0.393868398 1993 0.042433153
334 30 8 1993 0.413680286 1993 0.040565588
335 31 8 1993 0.265511805 1993 0.038698022
336 1 9 1993 0.067907217 1993 0.036830457
337 2 9 1993 1.820461046 1993 0.034962892
338 3 9 1993 0.561427663 1993 0.033095326
339 4 9 1993 0.980945207 1993 0.031227761
340 5 9 1993 0.065315928 1993 0.029360196
341 6 9 1993 0.867047544 1993 0.027492630
342 7 9 1993 0.025625065 1993 0.025625065
343 8 9 1993 1.509794072 1993 0.031192117
344 9 9 1993 0.794104115 1993 0.036759169
345 10 9 1993 0.600223558 1993 0.042326220
346 11 9 1993 0.383868992 1993 0.047893272
347 12 9 1993 1.411932585 1993 0.053460324
348 13 9 1993 1.035336850 1993 0.059027376
349 14 9 1993 1.859107423 1993 0.064594427
350 15 9 1993 2.202021955 1993 0.070161479
351 16 9 1993 1.627769170 1993 0.075728531
352 17 9 1993 0.320523766 1993 0.081295583
353 18 9 1993 0.790911707 1993 0.086862634
354 19 9 1993 0.819850214 1993 0.092429686
355 20 9 1993 0.185897719 1993 0.097996738
356 21 9 1993 3.090191670 1993 0.103563790
357 22 9 1993 0.109130842 1993 0.109130842
358 23 9 1993 0.583477669 1993 NA
359 24 9 1993 1.152455971 1993 NA
360 25 9 1993 0.980356697 1993 NA
361 26 9 1993 2.391479460 1993 NA
362 27 9 1993 1.093013070 1993 NA
363 28 9 1993 2.871354121 1993 NA
364 29 9 1993 1.468341667 1993 NA
365 30 9 1993 1.961570699 1993 NA
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