soil_G2F: Maize experimental multi-environment data sets (Genomes to...
In cjubin/learnMET: Predictions with Machine Learning methods in Multi Environment Trials (MET)
soil_G2F R Documentation
Maize experimental multi-environment data sets (Genomes to Fields Initiative)
Description
This data are used as toy data for several functions of
learnMET package.
Soil data for 22 environments of the maize MET dataset.
Format
data.frame object with 3 columns.
year: numeric Year label of the environment
location: character Name of the location
SandProp: Sand composition (%)
ClayProp: Clay composition (%)
SiltProp: Silt composition (%)
OM: Percentage of organic matter (%)
Author(s)
Cathy C. Westhues cathy.jubin@uni-goettingen.de
Source
Subset of the publicly available datasets from the Genomes to Fields Initiative.
All data are publicly available at: https://www.genomes2fields.org/resources/,
References
\insertRefmcfarland2020maizelearnMET
\insertRefalkhalifah2018maizelearnMET
cjubin/learnMET documentation built on Nov. 4, 2024, 6:23 p.m.
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| soil_G2F | R Documentation |
Maize experimental multi-environment data sets (Genomes to Fields Initiative)
Description
This data are used as toy data for several functions of
learnMET package.
Soil data for 22 environments of the maize MET dataset.
Format
data.frame object with 3 columns.
year:
numericYear label of the environmentlocation:
characterName of the locationSandProp: Sand composition (%)
ClayProp: Clay composition (%)
SiltProp: Silt composition (%)
OM: Percentage of organic matter (%)
Author(s)
Cathy C. Westhues cathy.jubin@uni-goettingen.de
Source
Subset of the publicly available datasets from the Genomes to Fields Initiative.
All data are publicly available at: https://www.genomes2fields.org/resources/,
References
\insertRefmcfarland2020maizelearnMET
\insertRefalkhalifah2018maizelearnMET
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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