Lattice: Lattice design for a variety trial of soybeans

In dengfei2013/learnasreml: The package is to help learn the asreml

Lattice design for a variety trial of soybeans

Description

This partially balanced lattice design can be used to illustrate the use of pseudo-factors in msanova. It has a single treatment factor, variety of soybeans, with number of levels equal to the square of an integer k; here k=5. To form the design, this factor is arbitrarily represented as the factorial combinations of two pseudo-factors, here called A and B, each with k levels. A is confounded in the first replicate, and B is confounded in the second replicate. The response variable is the yield.

Usage

Lattice

Format

A data frame with 32 observations on the following six variables:

Rep

a factor specifying the replicates.

Block

a factor specifying the blocks within replicates.

Plot

a factor specifying plots within blocks.

A

a factor specifying the confounding of variety effects in replicate 1.

B

a factor specifying the confounding of variety effects in replicate 2.

Variety

a factor specifying the varieties.

Yield

a numerical vector recording the yields.

Source

Cochran, W.G. & Cox, G.M. (1957). Experimental Designs (2nd edition), page 406.

dengfei2013/learnasreml documentation built on Oct. 25, 2024, 7 a.m.