af.sensitivity: Function af.sensitivity

In AndreasFischer1985/qqBaseX: Basic functions for analyzing qualitative and quantitative data based on R's default packages.

Function af.sensitivity

Description

Plots Lek-Pofiles and Fischer's Deltas.

Usage

af.sensitivity(model, x = NULL, y = NULL, steps = 100,
  splitseq = seq(0, 1, by = 0.25), plot = T, verbose = T, ...)

Arguments

model	Any object that works as input for function predict.
x	data.frame with numeric predictor variables.
y	numeric criterion variable.

Details

Plots Lek-Pofiles and Fischer's Deltas (i.e., the difference in R^2 that results from omitting a predictor for each predictor, as described by Fischer(2015)).

Examples

data=data.frame(y=rnorm(100)+scale(1:100),x1=rnorm(100)+scale(1:100),x2=rnorm(100));
l=lm(y~.,data=data)
sensitivity(l,data[c("x1","x2")],data["y"])

AndreasFischer1985/qqBaseX documentation built on Aug. 28, 2022, 11:30 a.m.