mildew: Mildew control
In sm: Smoothing Methods for Nonparametric Regression and Density Estimation
mildew R Documentation
Mildew control
Description
The data refer to study of mildew control sponsored by Bainbridge,
Jenkyn and Dyke at Rothamsted Experimental Station. There were four
treatments, one of which was a control. There were 36 adjacent plots,
with an extra plot at each end. Nine blocks were created by grouping
the plots in fours.
The variables are:
t1, t2, t3 indicators of the four treatment groups
p1, ..., p8 indicators of the nine blocks
Yield tons of grain per hectare
Draper & Guttman (1980). Incorporating overlap effects from
neighbouring units into response surface models.
Applied Statistics 29, 128-134.
sm documentation built on July 4, 2022, 5:06 p.m.
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| mildew | R Documentation |
Mildew control
Description
The data refer to study of mildew control sponsored by Bainbridge, Jenkyn and Dyke at Rothamsted Experimental Station. There were four treatments, one of which was a control. There were 36 adjacent plots, with an extra plot at each end. Nine blocks were created by grouping the plots in fours.
The variables are:
t1, t2, t3 | indicators of the four treatment groups |
p1, ..., p8 | indicators of the nine blocks |
Yield | tons of grain per hectare |
Draper & Guttman (1980). Incorporating overlap effects from neighbouring units into response surface models. Applied Statistics 29, 128-134.
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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