Find the amount of events over a given threshold and supply the amount of time steps to which they were in excess.
Source:R/exceed.R
exceed.RdFind the amount of events over a given threshold and supply the amount of time steps to which they were in excess.
Arguments
- dateTime
The date and time series
- value
The observed data
- threshold
The threshold at which to test
- gapWidth
This allows you to ignore a set number of time steps beneath a threshold between two or more events
- timeStep
The time step used applied in the observed data in seconds
Examples
data(bewdley)
events <- exceed(bewdley$data$dateTime,
bewdley$data$value,
threshold = 200,
gapWidth = 20,
timeStep = 900)
events
#> Start End timeSteps
#> <POSc> <POSc> <num>
#> 1: 2008-10-07 20:30:00 2008-10-08 22:00:00 102
#> 2: 2008-11-11 12:00:00 2008-11-11 12:15:00 1
#> 3: 2008-11-11 18:45:00 2008-11-11 22:45:00 16
#> 4: 2008-11-12 12:45:00 2008-11-12 13:00:00 1
#> 5: 2009-11-20 03:00:00 2009-12-02 23:30:00 1234
#> 6: 2010-01-17 07:30:00 2010-01-20 12:30:00 308
#> 7: 2011-01-14 12:15:00 2011-01-16 10:00:00 183
#> 8: 2011-01-16 15:15:00 2011-01-16 15:30:00 1
#> 9: 2011-01-17 07:00:00 2011-01-19 07:00:00 192
#> 10: 2011-02-07 13:45:00 2011-02-10 17:45:00 304
#> 11: 2012-01-05 06:30:00 2012-01-09 00:45:00 361
#> 12: 2012-04-28 03:30:00 2012-04-29 05:00:00 102
#> 13: 2012-04-29 11:30:00 2012-05-03 02:00:00 346
#> 14: 2012-07-14 03:00:00 2012-07-14 07:00:00 16
#> 15: 2012-07-15 14:00:00 2012-07-15 19:30:00 22
#> 16: 2012-09-25 17:00:00 2012-09-28 23:00:00 312
#> 17: 2012-11-24 18:45:00 2012-11-30 22:15:00 590
#> 18: 2012-12-08 19:30:00 2012-12-09 00:45:00 21
#> 19: 2012-12-16 23:15:00 2012-12-17 16:00:00 67
#> 20: 2012-12-20 06:00:00 2013-01-05 11:45:00 1559
#> 21: 2013-01-27 19:15:00 2013-02-03 13:15:00 648
#> 22: 2013-02-11 17:45:00 2013-02-13 03:15:00 134
#> 23: 2013-02-15 01:00:00 2013-02-17 10:15:00 229
#> 24: 2013-05-16 16:45:00 2013-05-18 04:30:00 143
#> 25: 2013-12-23 04:00:00 2013-12-29 14:45:00 619
#> 26: 2014-01-01 14:45:00 2014-01-13 09:45:00 1132
#> 27: 2014-01-20 10:00:00 2014-01-21 04:15:00 73
#> 28: 2014-01-27 23:00:00 2014-02-21 04:15:00 2325
#> 29: 2014-12-12 15:00:00 2014-12-16 15:00:00 384
#> 30: 2014-12-20 16:30:00 2014-12-22 07:15:00 155
#> 31: 2015-01-17 00:30:00 2015-01-19 03:15:00 203
#> 32: 2015-12-02 20:00:00 2015-12-07 18:15:00 473
#> 33: 2015-12-14 16:15:00 2015-12-18 05:00:00 339
#> 34: 2015-12-18 10:45:00 2015-12-18 11:00:00 1
#> 35: 2015-12-24 23:00:00 2015-12-26 21:15:00 185
#> 36: 2015-12-27 03:30:00 2015-12-31 08:45:00 405
#> 37: 2016-01-01 10:45:00 2016-01-01 11:00:00 1
#> 38: 2016-01-01 16:45:00 2016-01-06 11:15:00 458
#> 39: 2016-01-09 15:15:00 2016-01-16 04:00:00 627
#> 40: 2016-02-08 14:15:00 2016-02-13 17:00:00 491
#> 41: 2017-03-04 21:45:00 2017-03-04 22:00:00 1
#> 42: 2017-12-15 11:45:00 2017-12-18 05:00:00 261
#> 43: 2018-01-05 02:00:00 2018-01-05 06:45:00 19
#> 44: 2018-01-05 18:00:00 2018-01-07 00:00:00 120
#> 45: 2018-01-23 05:30:00 2018-01-27 18:45:00 437
#> 46: 2018-04-03 19:15:00 2018-04-06 23:00:00 303
#> 47: 2018-12-22 21:15:00 2018-12-25 20:15:00 284
#> 48: 2019-03-16 16:00:00 2019-03-21 06:45:00 443
#> 49: 2019-06-13 08:45:00 2019-06-17 22:45:00 440
#> 50: 2019-10-01 15:30:00 2019-10-05 12:45:00 373
#> 51: 2019-10-26 10:45:00 2019-10-31 22:30:00 527
#> 52: 2019-11-09 18:15:00 2019-11-11 03:15:00 132
#> 53: 2019-11-13 07:15:00 2019-11-19 21:45:00 634
#> 54: 2019-12-13 19:45:00 2019-12-23 07:15:00 910
#> 55: 2020-01-14 19:15:00 2020-01-17 09:45:00 250
#> 56: 2020-02-10 20:30:00 2020-03-06 05:30:00 2340
#> 57: 2020-03-11 20:30:00 2020-03-14 10:15:00 247
#> 58: 2020-12-18 19:15:00 2021-01-01 10:00:00 1307
#> 59: 2021-01-20 15:15:00 2021-01-27 04:45:00 630
#> 60: 2021-01-28 03:30:00 2021-02-07 10:45:00 989
#> 61: 2021-02-22 10:15:00 2021-02-24 06:45:00 178
#> 62: 2021-03-15 00:00:00 2021-03-16 16:00:00 160
#> 63: 2021-12-10 15:45:00 2021-12-13 04:00:00 241
#> 64: 2022-02-17 07:15:00 2022-02-27 06:15:00 956
#> Start End timeSteps