Package '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

Author(s)

Baidya Nath Mandal <[email protected]>

Examples

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))

---

Data from an experiment using incomplete split-plot design

Description

Data from an experiment using incomplete split-plot design where blocks are complete with respect to main plot treatments and main plots are incomplete with respect to subplot treatments

Usage

data("cmis")

Format

A data frame with 36 observations on the following 5 variables.

obs

Observations

block

Blocks

mp

Main plot treatments

sp

Subplot treatments

y

The response variable

Examples

data(cmis)

---

Data from an experiment using incomplete split-plot design

Description

Data from an experiment using incomplete split-plot design where blocks are incomplete with respect to main plot treatments and main plots are complete with respect to subplot treatments

Usage

data("imcs")

Format

A data frame with 18 observations on the following 5 variables.

obs

Observations

block

Blocks

mp

Main plot treatments

sp

Subplot treatments

y

The response variable

Examples

data(imcs)

---

Data from an experiment using incomplete split-plot design

Description

Data from an experiment using incomplete split-plot design where blocks are incomplete with respect to main plot treatments and main plots are also incomplete with respect to subplot treatments

Usage

data("imis")

Format

A data frame with 36 observations on the following 5 variables.

obs

Observations

block

Blocks

mp

Main plot treatments

sp

Subplot treatments

y

The response variable

Examples

data(imis)

---

Incomplete split-plot design for given number of blocks, number of main plot treatments, number of subplot treatments, number of main plot treatments in blocks and / or number of subplot treatments in main plots

Description

This function generates an incomplete split-plot design with given number of main plot treatments(v1), number of subplot treatments (v2), number of blocks(b) and block size(k). The incomplete split-plot design may be one of the three kinds: (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

ispd(v1,v2,b,k1 = NULL,k2 = NULL)

Arguments

v1	number of main plot treatments
v2	number of subplot treatments
b	number of blocks
k1	number of main plot treatments in each block. If k1 is not specified, it is assumed that k1 = v1
k2	number of subplot treatments in each main plot. If k2 is not specified, it is assumed that k2 = v2

Value

A list containing parameters, design layout and column layout of design

Author(s)

Baidya Nath Mandal <[email protected]>

Examples

ispd(v1 = 3, v2 = 4, b = 3, k1 = 2)
ispd(v1 = 3, v2 = 3, b = 3, k2 = 2)
ispd(v1 = 4, b = 6, k1 = 2, v2 = 3, k2 = 2)

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