MetaDataImport: Flux metadata import/integrity check function 6/6/2018...

In bmcnellis/sapflux: Analyze Sapflux Traces

Description

Sapflux metadata is required to interpret the signals returned by the datalogger during data collection, and the 'flux' class objects require metadata to be formatted a particular way - this function serves to check the integrity of the metadata relative to what's required by the class, and also guides import/formatting from a filename or dataframe present in the current working environment.

Usage

MetaDataImport(metadata, check.only = FALSE, time.format = "%m/%d/%Y",
  diam = "circle", diam.fill = FALSE, rewrite = FALSE)

Arguments

metadata	Filename of metadata OR data frame
check_only	Skip import and just perform a metadata integrity check. Defaults to FALSE.

Details

The function checks for the following columns:

date.install : Date the port began data collection.

date.removed : Date the port stopped collecting data.

port.tag : The datalogger port tag. Must be a unique value, and values must be matched with a unique value in the imported data.

stem.tag : The ID for the stem associated with the probe. Not required to be unique.

plant.tag : The ID for the plant associated with the probe. Not required to be unique.

diam.at.probe : Stem diameter at probe placement.

See Also

Other preprocess: AutoDropOutliers, BindRawFlux, ConsoleDropOutliers, DropRainyDays, GenerateMetaTemplate, ImportMeta, ImportRawFlux, oldBindRawFlux, oldImportRawFlux

Examples

MetaDataImport(metadata = foo.csv)
# in console, if successful: Finished metadata!

bmcnellis/sapflux documentation built on May 12, 2019, 10:27 p.m.