# whiteside

##### House Insulation: Whiteside's Data

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.

- Keywords
- datasets

##### 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.

##### References

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

##### Examples

```
# NOT RUN {
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)
coef(summary(gasQ))
gasPR <- lm(Gas ~ Insul + Temp, whiteside)
anova(gasPR, gasBA)
options(contrasts = c("contr.treatment", "contr.poly"))
gasBA1 <- lm(Gas ~ Insul*Temp, whiteside)
coef(summary(gasBA1))
# }
```

*Documentation reproduced from package MASS, version 7.3-51.1, License: GPL-2 | GPL-3*