Description Usage Format Examples
The purpose was to see if the amount of evaporation could be predicted by the temperature humidity and wind speed
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A data frame with 46 observations on the following 11 variables:
avstaverage soil temperature over 24 hour period (x10)
minstminimum soil temperature over 24 hour period (x10)
maxstmaximum soil temperature over 24 hour period (x10)
avataverage air temperature over 24 hour period (x10)
minatminimum air temperature over 24 hour period (x10)
maxatmaximum air temperature over 24 hour period (x10)
avhaverage humidity over 24 hour period (x10)
minhminimum humidity over 24 hour period (x10)
maxhmaximum humidity over 24 hour period (x10)
windaverage wind speed over a 24 hour period (x100)
evapamount of evaporation over 24 hour period
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Loading required package: s20x
Loading required package: leaps
Loading required package: rgl
Loading required package: lattice
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE
3: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
Call:
lm(formula = evap ~ avat + avh + wind, data = evap.df)
Residuals:
Min 1Q Median 3Q Max
-31.343 -2.032 2.160 4.768 14.630
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -43.822649 128.616172 -0.341 0.735
avat 2.086122 0.303887 6.865 2.27e-08 ***
avh -1.198666 1.286493 -0.932 0.357
wind 0.009861 0.010383 0.950 0.348
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 10.21 on 42 degrees of freedom
Multiple R-squared: 0.5457, Adjusted R-squared: 0.5132
F-statistic: 16.81 on 3 and 42 DF, p-value: 2.528e-07
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