case1402 {Sleuth2} | R Documentation |
Effect of Ozone, SO2 and Drought on Soybean Yield
Description
In a completely randomized design with a 2x3x5 factorial treatment structure, researchers randomly assigned one of 30 treatment combinations to open-topped growing chambers, in which two soybean cultivars were planted. The responses for each chamber were the yields of the two types of soybean.
Usage
case1402
Format
A data frame with 30 observations on the following 5 variables.
Stress
a factor indicating treatment, with two levels
"Well-watered"
and"Stressed"
SO2
a quantitative treatment with three levels 0, 0.02 and 0.06
O3
a quantitative treatment with five levels 0.02, 0.05, 0.07, 0.08 and 0.10
Forrest
the yield of the Forrest cultivar of soybean (in kg/ha)
William
the yield of the Williams cultivar of soybean (in kg/ha)
Source
Ramsey, F.L. and Schafer, D.W. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed), Duxbury.
References
Heggestad, H.E. and Lesser, V.M. (1990). Effects of Chronic Doses of Sulfur Dioxide, Ozone, and Drought on Yields and Growth of Soybeans Under Field Conditions, Journal of Environmental Quality 19: 488–495.
Examples
str(case1402)
plot(Forrest ~ O3, case1402, log="y", pch=ifelse(Stress=="Stressed",19,21))
plot(Forrest ~ SO2, case1402, log="y", pch=ifelse(Stress=="Stressed",19,21))
fitbig <- lm(log(Forrest) ~ O3*SO2*Stress, case1402)
# Residual plot does not indicate any problem.
plot(fitbig)
# The 3-factor interaction is not statistically significant.
anova(fitbig)
# Drop the three-factor interaction
fit2 <- update(fitbig, ~ . - O3:SO2:Stress)
anova(fit2)
fitadditive <- lm(log(Forrest) ~ O3 + SO2 + Stress, case1402)
summary(fitadditive)