grass: Agricultural factorial design
In asbio: A Collection of Statistical Tools for Biologists
grass R Documentation
Agricultural factorial design
Description
Littell et al. (2006) describe an experiment to distinguish the effects of three seed growing methods
on the yield of five turf grass varieties. The seed growing methods were applied to seed from each grass variety.
Six pots were planted with each variety \times method combination. The pots were placed in a growth chamber with
uniform conditions and dry matter (in grams) was weighed from above ground clips after four weeks.
Usage
data(grass)
Format
The dataframe has three columns:
yieldRefers to grass yield.
methodSeed growing method. A factor with three levels: a,b,c.
varietyGrass variety. A factor with five levels: 1,2,3,4,5.
Source
Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D., and O. Schabenberger
(2006) SAS for mixed models 2nd ed. SAS press.
asbio documentation built on May 29, 2024, 5:57 a.m.
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| grass | R Documentation |
Agricultural factorial design
Description
Littell et al. (2006) describe an experiment to distinguish the effects of three seed growing methods
on the yield of five turf grass varieties. The seed growing methods were applied to seed from each grass variety.
Six pots were planted with each variety \times method combination. The pots were placed in a growth chamber with
uniform conditions and dry matter (in grams) was weighed from above ground clips after four weeks.
Usage
data(grass)Format
The dataframe has three columns:
yieldRefers to grass yield.
methodSeed growing method. A factor with three levels:
a,b,c.varietyGrass variety. A factor with five levels:
1,2,3,4,5.
Source
Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D., and O. Schabenberger (2006) SAS for mixed models 2nd ed. SAS 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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