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standardize() runs check_key() internally
before attempting to standardize data with that key.check_key() now rejects “source” as a user-specified
“tidy_name” in the data key. Necessary to reserve “source” for storing
the file name in the standardized output.check_key().standardize() warning message for columns found in key
but not data is more succinct.ggplot2 version
4.0.0.make_json() due to loss of key
dependency.check_key() ensures a column key is properly formatted
to work with harmonize().standardize() uses the provided column key to
standarize a single dataset (from a named list).harmonize() runs in approximately half the time for
large (i.e., >5 MB) raw data files.expand_key() generates rows for a column key for only
those raw data files that are not already in an existing key or in an
existing harmonized data table.make_json() creates a JSON containing name/value pairs
from a named vector. Optionally adds the JSON file name to the
.gitignore if one is found in the working directory.solar_day_info() identifies sunrise, sunset, solar
noon, and day length for all dates within a user-specified range at
particular coordinates.harmonize() includes new defensive warning/error checks
with informative messages for likely sources of error.read() reads in all data files in a particular folder
and stores them in a list.begin_key() creates the start of a “column key” for
data harmonization.harmonize() performs column key-based harmonization of
raw data.cv() calculates coefficient of variation for a vector
of numbers.convert_temp() converts temperature values from one
specified unit to another.site_timeline() creates a ggplot2-style
timeline of all sites that meet the user-specified criteria.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.