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Add predictions to the data set. A dplyr compatible way to add predictions to a data set.
add_model_predictions(model = NULL, old_data = NULL, new_data = NULL)
A data.frame object with a new column for predicted values
A model object from `fit_model`
The data set to which predicted values will be added.
The data set to use for predicting.
fit_model
extract_model_info
data("yields", package="manymodelr")
yields1 <- yields[1:50,]
yields2<- yields[51:100,]
lm_model <- fit_model(yields1,"weight","height","lm")
head(add_model_predictions(lm_model,yields1,yields2))
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