effect.plot: Effects Plot

In byandell/pda: Practial Data Analysis for Designed Experiments

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))

byandell/pda documentation built on May 13, 2019, 9:27 a.m.