Fertilizer {mvinfluence} | R Documentation |
Fertilizer Data
Description
A small data set on the use of fertilizer (x) in relation to the amount of grain (y1) and straw (y2) produced.
Format
A data frame with 8 observations on the following 3 variables.
- grain
amount of grain produced
- straw
amount of straw produced
- fertilizer
amount of fertilizer applied
Details
The first observation is an obvious outlier and influential observation.
Source
Anderson, T. W. (1984). An Introduction to Multivariate Statistical Analysis, New York: Wiley, p. 369.
References
Hossain, A. and Naik, D. N. (1989). Detection of influential observations in multivariate regression. Journal of Applied Statistics, 16 (1), 25-37.
Examples
data(Fertilizer)
# simple plots
plot(Fertilizer, col=c('red', rep("blue",7)),
cex=c(2,rep(1.2,7)),
pch=as.character(1:8))
# A biplot shows the data in 2D. It gives another view of how case 1 stands out in data space
biplot(prcomp(Fertilizer))
# fit the mlm
mod <- lm(cbind(grain, straw) ~ fertilizer, data=Fertilizer)
Anova(mod)
# influence plots (m=1)
influencePlot(mod)
influencePlot(mod, type='LR')
influencePlot(mod, type='stres')
[Package mvinfluence version 0.9.0 Index]