Spread_level_plot: Spread-Level Plot

In Kale-S/isnormalr: olsdiagnosticR

Description

Creates plots for examining the possible dependence of spread on level, or an extension of these plots to the studentized residuals from linear models.

Usage

Spread_level_plot(fitted.value, influence_obs)

Arguments

fitted.value	a single numeric vector of data values
influence_obs	a list with following values: leverage.value, cooks.distance, studentized.residuals

Details

Plots abs(studentized residuals) vs. fitted values.

Value

qqplot-object

References

Fox, J. (1997) Applied Regression, Linear Models, and Related Methods. Sage. Hoaglin, D. C., Mosteller, F. and Tukey, J. W. (Eds.) (1983) Understanding Robust and Exploratory Data Analysis. Wiley.

Examples

## Not run: 
y_hat <- rnorm(100)
X <- (matrix(rnorm(1000), nrow = 100))
resid <- rnorm(100)
inf_obs <- olsdiagnosticR:::influence_observation(X = X, e = error)
olsdiagnosticR:::Spread_level_plot(fitted.value = y_hat,
                                   influence_obs = inf_obs)

## End(Not run)

Kale-S/isnormalr documentation built on Sept. 23, 2019, 5:48 a.m.