oats: Yield of oats with different fertilizer treatments in a...

Description Usage Format Details Source Examples

Description

Results of a classic split-plot experiment, carried out at Rothamsted in 1931; also see Yates, F. (1937) The Design and Analysis of Factorial Experiments, page 74; John, P.W.M. (1971) Statistical Design and Analysis of Experiments, page 99.

Usage

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Format

A data frame with 72 observations on the following six variables:

blcoks

a factor specifying six blocks.

wplots

a factor specifying three whole-plots for each block.

blcoks

a factor specifying six blocks.

subplots

a factor specifying four subplots for each whole-plot

variety

a factor specifying three varieties of oats (Victory, Golden rain and Marvellous).

nitrogen

a factor specifying four different amounts of nitrogen fertilizer (0, 0.2, 0.4 and 0.6 cwt).

yield

a numerical vector recording yield of oats.

Details

The design has two treatment factors: three varieties of oats (Victory, Golden rain and Marvellous), and four levels of nitrogen (0, 0.2, 0.4 and 0.6 cwt). Because of limitations on the machines for sowing seed, the different varieties could not conveniently be applied to plots as small as those that could be used for the different rates of fertilizer. So the design was set up in two stages. First of all, the blocks were each divided into three plots of the size required for the varieties, and the three varieties were randomly allocated to the plots within each block (exactly as in a randomized-block design). Then each of these plots, or whole-plots as they are usually known, was split into four sub-plots (one for each rate of nitrogen), and the allocation of nitrogen was randomized independently within each whole-plot.

Source

VSN International (2014). Genstat for Windows 17th Edition. VSN International, Hemel Hempstead, UK. Web page: Genstat.co.uk

Examples

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library(VSNEDU)
data(oats)
moda <- aov(yield ~ Nitrogen*Variety + Error(Blocks/Wplots),data= oats)
summary(moda)

VSNC/VSN-EDU documentation built on May 17, 2019, 10:11 p.m.