| multi_model_2 {manymodelr} | R Documentation | 
Fit and predict in one function
Description
Fit and predict in one function
Usage
multi_model_2(old_data, new_data, yname, xname, modeltype, ...)
Arguments
old_data | 
 The data set to which predicted values will be added.  | 
new_data | 
 The data set to use for predicting.  | 
yname | 
 The outcome variable  | 
xname | 
 The predictor variable(s)  | 
modeltype | 
 A character specifying the model type e.g lm for linear model  | 
... | 
 Other arguments to specific model types.  | 
Examples
# fit a linear model and get predictions
multi_model_2(iris[1:50,],iris[50:99,],"Sepal.Length","Petal.Length","lm")
# multilinear
multi_model_2(iris[1:50,],iris[50:99,],"Sepal.Length",
    "Petal.Length + Sepal.Width","lm")
# glm
multi_model_2(iris[1:50,],iris[50:99,],"Sepal.Length","Petal.Length","glm")
[Package manymodelr version 0.3.7 Index]