Format Ridge Model Output as LaTeX Tables

Formats and displays ridge regression model output from ridge.regression() as LaTeX tables for PDF rendering or plain text for console viewing.

Usage

ridge.summary(x, ..., include.cv.trace = TRUE, latex = TRUE)

Arguments

x

A ridge model object returned by ridge.regression() (class "ridge.model").

...

Further arguments passed to or from methods (unused).

include.cv.trace

Logical. Whether to include cross-validation trace information. Default is TRUE.

latex

Logical; if TRUE (default), returns LaTeX-formatted tables using kableExtra. If FALSE, prints plain-text summary tables to the console.

Value

If latex = TRUE, returns a knitr::asis_output object (LaTeX code) for PDF rendering. If latex = FALSE, prints formatted summary tables to the console and returns the underlying data frames.

Examples

# Load example data
data(mtcars)

# Fit ridge regression model
ridge.fit <- ridge.regression(mpg ~ wt + hp + disp, data = mtcars)

# Print a LaTeX-formatted summary
ridge.summary(ridge.fit, include.cv.trace = FALSE)
#> [1] "\\begin{minipage}[t]{0.48\\linewidth}\n\\begin{table}[H]\n\\centering\n\\caption{Ridge Model Information}\n\\centering\n\\begin{tabular}[t]{|>{}l>{}l|}\n\\toprule\nParameter & Value\\\\\n\\midrule\n\\textbf{Optimal Lambda} & 6.195699\\\\\n\\textbf{CV-MSE} & 7.555243\\\\\n\\textbf{Training MSE} & 6.525974\\\\\n\\textbf{Number of Predictors} & 3\\\\\n\\textbf{CV Folds} & 5\\\\\n\\textbf{Intercept} & 20.090625\\\\\n\\bottomrule\n\\end{tabular}\n\\end{table}\n\\end{minipage}\\begin{minipage}[t]{0.48\\linewidth}\n\\begin{table}[H]\n\\centering\n\\caption{Ridge Regression Coefficients}\n\\centering\n\\begin{tabular}[t]{|>{}ll>{}l|}\n\\toprule\nPredictor & Coefficient & Std.~Error\\\\\n\\midrule\n\\textbf{wt} & -2.444446 & 0.444444\\\\\n\\textbf{hp} & -1.667335 & 0.457401\\\\\n\\textbf{disp} & -1.349117 & 0.428700\\\\\n\\bottomrule\n\\end{tabular}\n\\end{table}\n\\end{minipage}\n\n\\begin{table}[H]\n\\centering\n\\caption{Variable Standardization Information}\n\\centering\n\\begin{tabular}[t]{|>{}ll>{}l|}\n\\toprule\nVariable & Mean & Std..Dev.\\\\\n\\midrule\n\\textbf{wt} & 3.21725 & 0.978457\\\\\n\\textbf{hp} & 146.68750 & 68.562868\\\\\n\\textbf{disp} & 230.72188 & 123.938694\\\\\n\\textbf{Response (y)} & 20.09062 & N/A\\\\\n\\bottomrule\n\\end{tabular}\n\\end{table}"
#> attr(,"class")
#> [1] "knit_asis"
#> attr(,"knit_cacheable")
#> [1] NA

# Print a plain-text summary
ridge.summary(ridge.fit, include.cv.trace = FALSE, latex = FALSE)
#> === Ridge Model Information ===
#> 
#> 
#> Parameter              Value     
#> ---------------------  ----------
#> Optimal Lambda         6.195699  
#> CV-MSE                 7.555243  
#> Training MSE           6.525974  
#> Number of Predictors   3         
#> CV Folds               5         
#> Intercept              20.090625 
#> 
#> === Ridge Regression Coefficients ===
#> 
#> 
#> Predictor    Coefficient   Std.Error
#> ----------  ------------  ----------
#> wt             -2.444446    0.444444
#> hp             -1.667335    0.457401
#> disp           -1.349117    0.428700
#> 
#> === Variable Standardization Information ===
#> 
#> 
#> Variable             Mean  Std.Dev.   
#> -------------  ----------  -----------
#> wt                3.21725  0.978457   
#> hp              146.68750  68.562868  
#> disp            230.72188  123.938694 
#> Response (y)     20.09062  N/A        
#>