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neonOS  

Basic Data Wrangling for NEON Observational Data
View on CRAN: Click here


Download and install neonOS package within the R console
Install from CRAN:
install.packages("neonOS")

Install from Github:
library("remotes")
install_github("cran/neonOS")

Install by package version:
library("remotes")
install_version("neonOS", "1.0.0")



Attach the package and use:
library("neonOS")
Maintained by
Claire Lunch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-29
Latest Update: 2022-09-29
Description:
NEON observational data are provided via the NEON Data Portal and NEON API, and can be downloaded and reformatted by the 'neonUtilities' package. NEON observational data (human-observed measurements, and analyses derived from human-collected samples, such as tree diameters and algal chemistry) are published in a format consisting of one or more tabular data files. This package provides tools for performing common operations on NEON observational data, including checking for duplicates and joining tables.
How to cite:
Claire Lunch (2022). neonOS: Basic Data Wrangling for NEON Observational Data. R package version 1.0.0, https://cran.r-project.org/web/packages/neonOS
Previous versions and publish date:
No previous versions
Other packages that cited neonOS R package
View neonOS citation profile
Other R packages that neonOS depends, imports, suggests or enhances
Functions, R codes and Examples using the neonOS R package
Some associated functions: brd_countdata . brd_perpoint . cfc_lignin_test_dups . cfc_lignin_variables . getAPI . getSampleTree . getTaxonList . idSampleParents . joinTableNEON . removeDups . 
Some associated R codes: data.R . getAPI.R . getSampleTree.R . getTaxonList.R . idSampleParents.R . joinTableNEON.R . removeDups.R .  Full neonOS package functions and examples
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