effect.fit {pda}R Documentation

Effects Plot

Description

Get fit effects and plot beside residuals. Visually assess MS as spread of effects. See Emerson chapter in Hoaglin, Mosteller and Tukey (1991, ch. 8C) Fundamentals of Exploratory Analysis of Variance (Wiley).

Usage

effect.fit(object, ...)
## Default S3 method:
effect.fit(object, data, factors, adjust=TRUE, influence=FALSE,
  terms.fit, ...)
## S3 method for class 'listof':
effect.fit(object, data, factors, terms.fit, stratum, ...)
effect.plot(object, effect, adjust=TRUE, boxplot.min=10,
  jitter=0.1, width=jitter, xlim, ylim, xaxt, xlab, ylab, ...)

Arguments

object linear model (lm) fit
data Data used in object fit
factors Character string of factor names
influence Include influence if TRUE
terms.fit Character string of terms in object fit
stratum Identifier of stratum to examine
effect effect fit of object
adjust adjust effects so that the average of squared effects is the mean squarefor that term
boxplot.min use boxplot instead if more than this many values
jitter uniform sideways jitter of plotted points (default=.1)
width width of boxplot (default=jitter)
xlim Plot parameters
ylim Plot parameters
xaxt Plot parameters
xlab Plot parameters
ylab Plot parameters
... Plot parameters

Value

list of effects

See Also

effect.plot.

Examples

data(ToothGrowth)
ToothGrowth$dose = ordered(ToothGrowth$dose)
effect.plot(lm(len~dose*supp, ToothGrowth))

[Package pda version 1.2-3 Index]