SPLGrass.dat: Data for an experiment to investigate the effects of grazing...
In dae: Functions Useful in the Design and ANOVA of Experiments
SPLGrass.dat R Documentation
Data for an experiment to investigate the effects of grazing patterns on
pasture composition
Description
The response variable is the percentage area covered by the principal grass
(Main.Grass). The design for the experiment is a split-unit design. The main units
are arranged in 3 Rows x 3 Columns. Each main unit is split into
2 SubRows x 2 SubColumns.
The factor Period, with levels 3, 9 and 18 days, is assigned to the main units
using a 3 x 3 Latin square. The two-level factors Spring and Summer are
assigned to split-units using a criss-cross design within each main unit.
The levels of each of Spring and Summer are two different grazing patterns in its season.
Usage
data(SPLGrass.dat)
Format
A data.frame containing 36 observations of 8 variables.
Source
Example 14.1 from Mead, R. (1990). The Design of Experiments:
Statistical Principles for Practical Application. Cambridge,
Cambridge University Press.
dae documentation built on June 22, 2024, 9:07 a.m.
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| SPLGrass.dat | R Documentation |
Data for an experiment to investigate the effects of grazing patterns on pasture composition
Description
The response variable is the percentage area covered by the principal grass (Main.Grass). The design for the experiment is a split-unit design. The main units are arranged in 3 Rows x 3 Columns. Each main unit is split into 2 SubRows x 2 SubColumns.
The factor Period, with levels 3, 9 and 18 days, is assigned to the main units using a 3 x 3 Latin square. The two-level factors Spring and Summer are assigned to split-units using a criss-cross design within each main unit. The levels of each of Spring and Summer are two different grazing patterns in its season.
Usage
data(SPLGrass.dat)Format
A data.frame containing 36 observations of 8 variables.
Source
Example 14.1 from Mead, R. (1990). The Design of Experiments: Statistical Principles for Practical Application. Cambridge, Cambridge University Press.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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