4.3.time.handlers | R Documentation |
Time handlers are subset of pems.utils
functions that
work on or with time records (time.stamp
and
local.time
).
regularize(data, Hz=1, ...)
repairLocalTime(data, local.time, ref, ..., reset.count = TRUE,
fun.name = "repairLocalTime")
data |
(Required, typically |
Hz |
(For |
... |
(Optional) Other arguments, typically passed on. |
local.time |
(For |
ref, reset.count |
(For |
fun.name |
( |
regularize
attempts to extrapolate a regular series, generated at the
time resolution requested, from the supplied data
. It can be useful
for the regularization of irregularly time-logged data and
for hole-filling missing records but should not be used aggressively,
to convert 1Hz to 10Hz data.
repairLocalTime
attempts to repair an incomplete local.time
record. For example, if you merge two datasets with overlapping but
different time ranges, one may not track the time range of the other and
this can generate incomplete time records. This function attempts to
hole-fill such cases.
regularize
returns the supplied dataset (data
) with time-series
(time.stamp
and local.time
) are regularized at the
requestion time resolution, based on Hz
value. It uses
approx
the estimate associated changes for other data-series.
repairLocalTime
returns a repaired local.time
pem.element
, typically the supplied local.time
with
any holes (NAs
) it can fill filled.
All time handlers should be used with care.
Karl Ropkins
regularize
uses approx
:
Base R Stats package function based on Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
A lot of leg-work testing regularize
was done by then Leeds
MSc Student Adrian Felipe Ortega Calle.
approx
regarding data regularization methods.
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