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:
avst
average soil temperature over 24 hour period (x10)
minst
minimum soil temperature over 24 hour period (x10)
maxst
maximum soil temperature over 24 hour period (x10)
avat
average air temperature over 24 hour period (x10)
minat
minimum air temperature over 24 hour period (x10)
maxat
maximum air temperature over 24 hour period (x10)
avh
average humidity over 24 hour period (x10)
minh
minimum humidity over 24 hour period (x10)
maxh
maximum humidity over 24 hour period (x10)
wind
average wind speed over a 24 hour period (x100)
evap
amount 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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