Nothing
# Example of "Add predictions to existing dataset..."
# Load data "Chile" selecting from Rcmdr menu:
# "Data" -> "Data in packages" -> "Read data set from an attached package..."
# then double-click on "car", click on "Chile" and "OK".
# Rcmdr reply with the following command in source pane (R Script)
data(Chile, package="car")
# To build a model select from Rcmdr menu:
# "Statistics" -> "Model fit" -> "Linear Regresion..."
# As "Variable explicada" select income and age as "Variables explicativas" and click on "OK"
# Rcmdr reply with the following command in source pane (R Script)
RegModel.1 <- lm(income~age, data=Chile)
summary(RegModel.1)
# Note that the active model is set to RegModel.1
# So if you want to predict the values for income for age data in Chile dataset
# Select from Rcmdr menu:
# "Models" -> "Predict using active model" -> "Add predictions to existing dataset..."
# In the dialog select a compatible dataset with the model
# In this case select Chile
# Rcmdr reply with the following command in source pane (R Script)
Chile$fitted <- predict(RegModel.1, Chile)
# The predicted value of income has been saved as fitted in the selected dataset (Chile)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.