estimate_extraction: Extract estimates/statistics from a model

Description

Note: These functions are deprecated in the supernova package and have been moved to the coursekata package which can be found at https://github.com/UCLATALL/coursekata-r

This collection of functions is useful for extracting estimates and statistics from a fitted model. They are particularly useful when estimating many models, like when bootstrapping confidence intervals. Each function can be used with an already fitted model as an lm object, or a formula and associated data can be passed to it. All of these assume the comparison is the empty model.

b0: The intercept from the full model.
b1: The slope b1 from the full model.
fVal: The F value from the full model.
PRE: The Proportional Reduction in Error for the full model.
SSE: The SS Error (SS Residual) from the model.
SSM: The SS Model (SS Regression) for the full model.
SSR: Alias for SSM.

Usage

b0(object, data = NULL, ...)
b1(object, data = NULL, ...)
f(object, data = NULL, ...)
pre(object, data = NULL, ...)
sse(object, data = NULL, ...)
ssm(object, data = NULL, ...)
ssr(object, data = NULL, ...)
fVal(object, data = NULL, ...)
PRE(object, data = NULL, ...)
SSE(object, data = NULL, ...)
SSM(object, data = NULL, ...)
SSR(object, data = NULL, ...)

Value

The value of the estimate as a single number.

Arguments

object: A lm object, or formula.
data: If object is a formula, the data to fit the formula to as a data.frame.
...: Additional arguments passed through to lm.