regD {sasLM}

Regression of Conventional Way with Rich Diagnostics

Description

regD provides rich diagnostics such as student residual, leverage(hat), Cook's D, studentized deleted residual, DFFITS, and DFBETAS.

Usage

regD(Formula, Data)

Arguments

Formula

a conventional formula for a linear model

Data

a data.frame to be analyzed

Details

It performs the conventional regression analysis. This does not use g2 inverse, therefore it cannot handle a singular matrix. If the model(design) matrix is not full rank, use REG or fewer parameters.

Value

Coefficients

conventional coefficients summary with Wald statistics

Diagnostics

Diagnostics table for detecting outlier or influential/leverage points. This includes fitted (Predicted), residual (Residual), standard error of residual(se_resid), studentized residual(RStudent), hat(Leverage), Cook's D, studentized deleted residual(sdResid), DIFFITS, and COVRATIO.

DFBETAS

Column names are the names of coefficients. Each row shows how much each coefficient is affected by deleting the corressponding row of observation.

Author(s)

Kyun-Seop Bae [e-mail]

Examples

  regD(uptake ~ conc, CO2)