goulden.splitsplit: Split-split plot experiment of wheat

Description Usage Format Details Source References Examples

Description

Split-split plot experiment of wheat

Usage

1
data("goulden.splitsplit")

Format

A data frame with 160 observations on the following 9 variables.

row

row

col

column

yield

yield

inoc

inoculate

trt

treatment number

gen

genotype

dry

dry/wet dust application

dust

dust treatment

block

block

Details

An interesting split-split plot experiment in which the sub-plot treatments have a 2*5 factorial structure.

An experiment was conducted in 1932 on the experimental field of the Dominion Rust Research Laboratory. The study was designed to determine the effect on the incidence of root rot, of variety of wheat, kinds of dust for seed treatment, method of application of the dust, and efficacy of soil inoculation with the root-rot organism.

The field had 4 blocks.

Each block has 2 whole plots for the genotypes.

Each whole-plot had 10 sub-plots for the 5 different kinds of dust and 2 methods of application.

Each sub-plot had 2 sub-sub-plots, one for inoculated soil and the other one for uninoculated soil.

Source

C. H. Goulden, (1939). Methods of statistical analysis, 1st ed. Page 18. https://archive.org/stream/methodsofstatist031744mbp

References

None

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
data(goulden.splitsplit)
dat <- goulden.splitsplit

if(require(desplot)) {

  ## Experiment design. Goulden p. 152-153
  ## desplot(gen ~ col*row, data=dat,
  ##         out1=block, out2=trt, text=dust, col=inoc, cex=1,
  ##         main="goulden.splitsplit")
  
  desplot(yield ~ col*row, data=dat,
          out1=block, out2=gen, col=inoc, num=trt, cex=1,
          main="goulden.splitsplit")

}

# Match Goulden table 40
m1 <- aov(yield ~ gen
          + dust + dry + dust:dry + gen:dust + gen:dry + gen:dust:dry
          + inoc + inoc:gen + inoc:dust + inoc:dry
          + inoc:dust:dry +inoc:gen:dust + inoc:gen:dry
          + Error(block/(gen+gen:dust:dry+gen:inoc:dry)), data=dat)
summary(m1)

agridat documentation built on May 2, 2019, 4:01 p.m.