Predict environmental effects

A function to train a random forest model to predict environmental effects defined from a MET mixed model analysis with ECs as predictors.

Usage

pred.env.effs(train.ECs, new.ECs, E.effs, verbose = TRUE)

Arguments

train.ECs

A data frame of weather and/or soil ECs for observed environments as output from the get.W.ECs() or get.S.ECs() functions.

new.ECs

A data frame of weather and/or soil ECs for new environments as output from the get.W.ECs() or get.S.ECs() functions.

E.effs

A data frame of several or a vector of a single environmental effects parameters fitted from a multi-environmnet trial analysis mixed model. Latent environmental effect factor loadings that decompose GxE can be defined as described by Smith et al (2021)

verbose

Logical. Should progress be printed? Default = TRUE.

Value

A data frame of environmental effect predictions for the new environments with environments as rows and environmental effect variates as columns.

References

Smith, A., Norman, A., Kuchel, H., & Cullis, B. (2021). Plant Variety Selection Using Interaction Classes Derived From Factor Analytic Linear Mixed Models: Models With Independent Variety Effects. Frontiers in Plant Science, 12. https://doi.org/10.3389/fpls.2021.737462

Author

Nick Fradgley