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]