日本語のみで絞り込む
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.
A design matrix, also known as model matrix or regressor matrix and often denoted by X, is a matrix of values of explanatory variables of a set of objects.
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 ...
In R, 'model.matrix' is a useful tool for seeing the design matrices that are in play when you build regression models. Build a simple ...
The model.matrix function. Creating tables of dummy variables for use in statistical modelling is extremely easy with the model.matrix function.
model.Matrix creates design matrix, very much like the standard R function model.matrix, however returning a dense or sparse object of class modelMatrix.
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 ...