mts_select()
with
duplicate deviceDeploymentIDs
.mts_select()
with
deviceDeploymentIDs
not found in mts
.mts_arrange()
to order time series based on
values of a mts$meta
column.mts_filterDate()
and
mts_filterDatetime()
when a POSIXct
value is
encountered with no timezone information. This can happen when using
lubridate::now()
.mts_collapse()
so that it now handles
metadata columns of class POSIXct
.mts_trim()
to remove all data records with only
missing data.mts_combine()
with an
overlapStrategy
argument. With
overlapStrategy = "replace all"
, values from later
timeseries (including NA
) always replace values from
earlier timeseries. With overlapStrategy = "replace na"
,
values from later timeseries only replace NA
values in
earlier timeseries.Carmel_Valley
to match the latest version of
the AirMonitor package.Camp_Fire
dataset from the
AirMonitor package.mts_selectWhere()
to select time series based on
data values.mts/sts_filterMeta()
to return an empty
mts/sts object if an empty mts/sts object is passed
in. Previous behavior was to stop with an error message. The new
behavior allows multiple filtering steps to be piped together without
having to check for an empty mts/sts at each step. Now you can
check once at the end of the pipeline..sample()
,
.findOutliers()
.mts_sample()
.sts_summarize()
.example_raws
dataset.Version 0.2 of the package is ready for operational use.
sts_join()
withsts_combine()
.mts_collapse()
.trimEmptyDays
argument to
mts_trimDate()
.mts_collapse()
.monitor_isValid()
.mts_distance()
to
mts_getDistance()
.monitorID
references.replaceMeta
argument to
mts_combine()
.mts_summarize()
.mts_combine()
.mts_collapse()
, mts_distance()
and
mts_select()
.mts_filter()
to mts_filterData()
to be more explicittimeInfo()
and supporting functions.Carmel_Valley
example dataset.~_filterDate()
.sts_from~()
functions.mts_combine()
.mts_filter~()
equivalents to
sts_filter~()
functions.sts_isValid()
and
mts_isValid()
.sts
format:
sts_fromTidyDF()
sts_fromCSV()
sts
functions.sts
and
mts
objects.sts
functions:
sts_filter()
sts_filterDate()
sts_filterDatetime()
sts_join()
sts_toTidyDF()
sts_trimDate()