Yahoo! JAPAN

model.matrix creates a design (or model) matrix, eg, by expanding factors to a set of dummy variables (depending on the contrasts) and expanding interactions ...

model.matrix function in R is a convenient way to transform training dataset for modeling. But it does not save any parameter used in transformation.

First, build a simple data frame with time as a factor and Time as a continuous, numeric variable. The two variables look alike when you print the data ...

2022/9/22 -model.matrix() is designed to take the variables in your data set and transform them into a matrix format that is suitable for linear regression.

model.matrix creates a design (or model) matrix, eg, by expanding factors to a set of dummy variables (depending on the contrasts) and expanding interactions ...

model.matrix creates a design (or model) matrix, eg, by expanding factors to a set of dummy variables (depending on the contrasts) and expanding interactions ...

2022/2/16 -In R, the model.matrix function is used to create the design matrix for regression. In particular, it is used to expand factor variables ...

model.Matrix creates design matrix, very much like the standard R function model.matrix, however returning a dense or sparse object of class modelMatrix.

Creating tables of dummy variables for use in statistical modelling is extremely easy with the model.matrix function.