predict.Ad: predicting yield adaptability from genotypic sensibility...

In gcostaneto/frGIS: Yield adaptability analysis based on factorial regression and environmental covariates

predicting yield adaptability from genotypic sensibility coefficients and raster files.

Description

predicting yield adaptability from genotypic sensibility coefficients and raster files.

Usage

## S3 method for class 'Ad'
predict(coef, cov.raster, df.x = NULL, yx = NULL,
  intercept = T)

Arguments

coef	data.frame containing genotype id (gid) and genotypic sensibility coefficients
cov.raster	is a raster or a raster stack file for environmental covariates
df.x	data.frame containing environmental covarites per pixel (used when cov.raster is NULL)
yx	data.frame containing geographic coordinates (latitude and longitude) per pixel (used when cov.raster is NULL)
intercept	TRUE (default) or FALSE if considering include fixed genotypic intercept

Author(s)

Germano M F Costa Neto

gcostaneto/frGIS documentation built on Jan. 4, 2024, 1:41 p.m.