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    2024/4/1 -The formula is coerced to a Formula , using the Formula package. ... matrix.Formula in order to extract the covariates and instruments model matrices: ... () ):.

    2024/5/3 -ExploreModelMatrix is an R package for visualizing design matrices generated by the model.matrix(). R function. Provided with a sample data table and a design ...

    2024/4/15 -Random matrix theory (RMT) is the study of properties of random matrices, often as they become large. RMT provides techniques like mean-field theory, ...

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    2024/3/15 -I did this by model.matrix() function. I checked the results, and I got the two (k-1) new dummy variables. res <- model.matrix(~Category, data = data) head ...

    2024/4/26 -Model matrix of the linear model. The top 500 rows of BY are 'functional' attributes that discriminate between the cases and controls.

    2024/3/31 -In control engineering and system identification, a state-space representation is a mathematical model of a physical system specified as a set of input, ...

    2024/5/9 -Matrix is a two-dimensional array or table consisting of rows and columns. The intersection of a row and column is called a cell. All the data is stored across ...

    2024/3/20 -Talk about the model.matrix() function; Talk about how to set your pairwise comparisons using the contrast.matrix() function; Use the limma package to ...

    2024/3/6 -matrix() would do. The documentation for parsnip models provides details about how the data given in the formula are encoded for the model if they diverge from ...

    2024/3/27 -A model matrix mm and corresponding response vector y used in an example by Koenker and Ng. The matrix mm is a sparse matrix with 1850 rows and 712 columns but ...

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