rB3stdze: Buoy observation to data frame

In kohjim/rB3: Data handling tools for high-frequency lake monitoring buoy observations

Description

Trim dates and/or aggregate (to a single common timestep) an rB3 working dataframe. Use 'ctrls' to define how aggregation should be performed for each time-series(column).

Usage

rB3stdze(rB3in, startDate, endDate, varNames, timestep, aggAll, methodAgg,
  pullAgg)

Arguments

rB3in	rB3 object to be 'standardized'
startDate	measurements prior to this time will be removed
endDate	measurements after this time will be removed
varNames	variables (columns) to be retained, select by full header name, key characters, or 'All'
timestep	standardise (aggregate) to a common timestep (numeric, in mins, to turn aggregation on) !! NOTE! logs will be reset to NA!!
aggAll	TRUE: aggregate source and qc data separately, FALSE: source data = qc data.
methodAgg	aggregation method; mean, median, sum, min, max, or circular (for averaging direction measurements in degrees)
pullAgg	aggregate data from before/on new timestamp ('left'), either side of timestamp ('centre'), or on/after timestamp ('right')

Examples

stdDF <- rB3stdze(rB3in = rawDF, varNames = wqVars, metaD = metaD, startDate = '2016-07-01 00:00:00', endDate = '2018-06-30 23:45:00', doAgg = TRUE, methodAgg = ctrls$methodAgg, pullAgg = ctrls$pullAgg)

kohjim/rB3 documentation built on May 10, 2019, 9:51 a.m.