Data loggers for environmental science data can be configured to output text files in any number of flavours. Differences in date formats and separators, or the presence of extra metadata in header rows can make it hard to easily and consistently open data logger files for further processing. A script that one scientist uses to read their files can fail when trying to open files that were configured differently, even when the data are from a sensor of the same make and model. This makes it harder for scientists to share data and use a common set of tools for quality control and analysis of observational data. 'LoggerReadR' is a library of text-file readers for permafrost-related data loggers meant to open files as 'dataframes'. Instead of trying to make a single 'csv-reader' that can handle any format, 'LoggerReadR' treats each data logger manufacturer separately; this makes it possible to open files automatically with greater confidence that they're being read properly. 'LoggerReadR' can be used as a standalone library for interactive data analysis and exploration, or can be integrated into other programs. Currently, data from the following sensors are supported: ('Geoprecision', 'HoboWare').
Package details |
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Maintainer | |
License | GPL-3 |
Version | 0.1.0 |
URL | https://github.com/nicholas512/LoggerReadR |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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