Ensemble averaging of adp objects is often necessary to
reduce the uncertainty in velocity estimates from single
pings. Many types of ADPs can be configured to perform the
ensemble averaging during the data collection, due to memory
limitations for long deployments. In cases where the instrument is
not memory limited, it may be desirable to perform the ensemble
averaging during post-processing, thereby reducing the overall
size of the data set and decreasing the uncertainty of the
velocity estimates (by averaging out Doppler noise).
adpEnsembleAverage(x, n = 5, leftover = FALSE, na.rm = TRUE, ...)an adp object, i.e. one inheriting from adp-class.
number of pings to average together.
a logical value indicating how to proceed in cases
where n does not divide evenly into the number of ensembles
in x. If leftover is FALSE (the default) then any extra
ensembles at the end of x are ignored. Otherwise, they are used
to create a final ensemble in the returned value.
a logical value indicating whether NA values should be stripped before the computation proceeds
extra arguments to be passed to the mean() function.
A reduced object of adp-class with ensembles averaged as specified. E.g. for an adp object with 100 pings and n=5 the number of rows of the data arrays will be reduced by a factor of 5.
Other things related to adp data: [[,adp-method,
[[<-,adp-method,
ad2cpHeaderValue, adp-class,
adp, as.adp,
beamName, beamToXyzAdpAD2CP,
beamToXyzAdp, beamToXyzAdv,
beamToXyz, beamUnspreadAdp,
binmapAdp, enuToOtherAdp,
enuToOther,
handleFlags,adp-method,
is.ad2cp, plot,adp-method,
read.adp.ad2cp,
read.adp.nortek,
read.adp.rdi,
read.adp.sontek.serial,
read.adp.sontek, read.adp,
read.aquadoppHR,
read.aquadoppProfiler,
read.aquadopp, rotateAboutZ,
setFlags,adp-method,
subset,adp-method,
summary,adp-method, toEnuAdp,
toEnu, velocityStatistics,
xyzToEnuAdpAD2CP,
xyzToEnuAdp, xyzToEnu
# NOT RUN {
library(oce)
data(adp)
adpAvg <- adpEnsembleAverage(adp, n=2)
plot(adpAvg)
# }
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