Data on soil evaporation.
Data from 46 consecutive days on weather variables used to estimate amount of evaporation from the soil.
data(evap)
A data frame with 46 observations on the following 14 variables.
ObsObservation number
MonthMonth (6-June, 7-July)
dayDay of the month
MaxSTMaximum Soil Temperature
MinSTMinimum Soil Temperature
AvSTAverage (integrated) Soil Temperature
MaxATMaximum Air Temperature
MinATMinimum Air Temperature
AvATAverage (integrated) Air Temperature
MaxHMaximum Relative Humidity
MinHMinimum Relative Humidity
AvHAverage (integrated) Relative Humidity
WindTotal Wind
EvapTotal evoporation from the soil
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.
Freund, R.J. (1979) Multicollinearity etc., Some "New" Examples. Proceedings of the Statistical Computing Section, *4*, 111-112.
data(evap) pairs(evap[,-c(1,2,3)], panel=panel.smooth) ## maybe str(evap) ; plot(evap) ...
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