whiteside {MASS} | R Documentation |

## House Insulation: Whiteside's Data

### Description

Mr Derek Whiteside of the UK Building Research Station recorded the
weekly gas consumption and average external temperature at his own
house in south-east England for two heating seasons, one of 26 weeks
before, and one of 30 weeks after cavity-wall insulation was
installed. The object of the exercise was to assess the effect of the
insulation on gas consumption.

### Usage

whiteside

### Format

The `whiteside`

data frame has 56 rows and 3 columns.:

`Insul`

- A factor, before or after insulation.
`Temp`

- Purportedly the average outside temperature in degrees Celsius. (These
values is far too low for any 56-week period in the 1960s in
South-East England. It might be the weekly average of daily minima.)
`Gas`

- The weekly gas consumption in 1000s of cubic feet.

### Source

A data set collected in the 1960s by Mr Derek Whiteside of the
UK~Building Research Station. Reported by

Hand, D. J., Daly, F., McConway, K., Lunn, D. and Ostrowski, E. eds (1993)
*A Handbook of Small Data Sets.*
Chapman & Hall, p. 69.

### References

Venables, W. N. and Ripley, B. D. (2002)
*Modern Applied Statistics with S.* Fourth edition. Springer.

### Examples

require(lattice)
xyplot(Gas ~ Temp | Insul, whiteside, panel =
function(x, y, ...) {
panel.xyplot(x, y, ...)
panel.lmline(x, y, ...)
}, xlab = "Average external temperature (deg. C)",
ylab = "Gas consumption (1000 cubic feet)", aspect = "xy",
strip = function(...) strip.default(..., style = 1))
gasB <- lm(Gas ~ Temp, whiteside, subset = Insul=="Before")
gasA <- update(gasB, subset = Insul=="After")
summary(gasB)
summary(gasA)
gasBA <- lm(Gas ~ Insul/Temp - 1, whiteside)
summary(gasBA)
gasQ <- lm(Gas ~ Insul/(Temp + I(Temp^2)) - 1, whiteside)
summary(gasQ)$coef
gasPR <- lm(Gas ~ Insul + Temp, whiteside)
anova(gasPR, gasBA)
options(contrasts = c("contr.treatment", "contr.poly"))
gasBA1 <- lm(Gas ~ Insul*Temp, whiteside)
summary(gasBA1)$coef

[Package

*MASS* version 7.2-23

Index]