ICAR Research Data Repository for Knowledge Management
R-Code Tutorial: Revisiting linear regression to test agreement in continuous predicted-observed datasets
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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| Title |
R-Code Tutorial: Revisiting linear regression to test agreement in continuous predicted-observed datasets
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| Identifier |
https://doi.org/10.7910/DVN/EJS4M0
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| Creator |
Correndo, Adrian Alejandro
Hefley, Trevor Holzworth, Dean Ciampitti, Ignacio A. |
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| Publisher |
Harvard Dataverse
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| Description |
This dataset contains an R-script (rmd format) to assist potential users of the model evaluation approach proposed by Correndo et al. (2021). The strategy encompasses of the use of symmetric linear regression (Standardized Major Axis) to evaluate the agreement between predicted and observed values.
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| Subject |
Agricultural Sciences
Computer and Information Science Mathematical Sciences Other |
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| Contributor |
Correndo, Adrian Alejandro
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