evap {TeachingDemos}

Data on soil evaporation.

Description

Data from 46 consecutive days on weather variables used to estimate amount of evaporation from the soil.

Usage

data(evap)

Format

A data frame with 46 observations on the following 14 variables.

Obs

Observation number

Month

Month (6-June, 7-July)

day

Day of the month

MaxST

Maximum Soil Temperature

MinST

Minimum Soil Temperature

AvST

Average (integrated) Soil Temperature

MaxAT

Maximum Air Temperature

MinAT

Minimum Air Temperature

AvAT

Average (integrated) Air Temperature

MaxH

Maximum Relative Humidity

MinH

Minimum Relative Humidity

AvH

Average (integrated) Relative Humidity

Wind

Total Wind

Evap

Total evoporation from the soil

Details

The idea of the data is to predict the amount of evaporation given the other variables. Note that the "average" values are scaled differently from the others, this is more an area under the curve measure representing the total/average value.

This dataset was entered by hand from a low quality copy of the paper. If you find any typos, please e-mail them to the package maintainer.

Source

Freund, R.J. (1979) Multicollinearity etc., Some "New" Examples. Proceedings of the Statistical Computing Section, *4*, 111-112.

Examples

data(evap)
pairs(evap[,-c(1,2,3)], panel=panel.smooth)
## maybe str(evap) ; plot(evap) ...