ispd (version 0.2)

aov.ispd: Analysis of variance of data from an incomplete split-plot design

Description

This function performs analysis of variance of data from experiments using an incomplete split-plot design for three types of situations namely (i) blocks are complete with respect to main plot treatments and mainplots are incomplete with respect to subplot treatments, (ii) blocks are incomplete with respect to main plot treatments and mainplots are complete with respect to subplot treatments and (iii) blocks are incomplete with respect to main plot treatments and mainplots are also incomplete with respect to subplot treatments.

Usage

aov.ispd(obs, block, mp, sp, y, incomplete.block = FALSE, incomplete.mp = TRUE)

Arguments

obs

observation numbers

block

block

mp

main plot treatment

sp

subplot treatment

y

response variable

incomplete.block

Are blocks incomplete? Default is FALSE

incomplete.mp

Are main plots incomplete? Default is TRUE

Value

Returns ANOVA table of incomplete split-plot design

Examples

# NOT RUN {
data(cmis)
with(cmis, aov.ispd(obs, block, mp, sp, y, incomplete.block = FALSE, incomplete.mp = TRUE))
data(imcs)
with(imcs, aov.ispd(obs, block, mp, sp, y, incomplete.block = TRUE, incomplete.mp = FALSE))
data(imis)
with(imis, aov.ispd(obs, block, mp, sp, y, incomplete.block = TRUE, incomplete.mp = TRUE))
# }