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A suite of utility functions providing functionality commonly needed for
production level projects such as logging, error handling, cache management and
date-time parsing. Functions for date-time parsing and formatting require that
timezones be specified explicitly, avoiding a common source of error when
working with environmental time series.
The MazamaCoreUtils package was created by MazamaScience to regularize our work building R packages, data processing pipelines and web services focused on environmental monitoring data.
The main goal of this package is to create an internally standardized set of functions that we can use in various systems that are being run operationally. Areas of functionality supported by this package include:
- python style logging
- simple error messaging
- cache management
- API key handling
- date-time parsing and formatting
- lat/lon validation and uniqueID creation
- source code linting
Install from CRAN with:
install.packages('MazamaCoreUtils')
Install the latest version from GitHub with:
devtools::install_github('mazamascience/MazamaCoreUtils')
Development of this R package has been supported with funding from the following institutions:
Questions regarding further development of the package should be directed to jonathan.callahan@dri.edu.