I really want to know how to calculate the predicted valued when I use
gam.predict .
my model is:
newSO2 ~ s(pressure, bs = "cr") + s(maxtemp, bs = "cr") + mintemp +
RH + solar + s(windspeed, bs = "cr") + s(transport, bs = "cr")
> my new dataset is :
pressure: -7.056847826
maxtemp: 2.737507877
mintemp: 3.51959342
RH: 8.772944565
Solar:0.200563855
Windspeed: -6.319313706
Transport:-380.5588726
the coefficient of formula is:
> coef(so2e)
(Intercept) mintemp RH solar s(pressure).1
s(pressure).2 s(pressure).3 s(pressure).4 s(pressure).5 s(pressure).6
s(pressure).7 s(pressure).8 s(pressure).9 s(maxtemp).1 s(maxtemp).2
0.91148590 0.20798857 0.15072713 0.17296204 0.46080941
0.23503683 0.09166914 0.06353043 -0.83130850 -1.36714869
-0.84320333 -0.48964922 -4.85825675 0.55672881 0.26108141
s(maxtemp).3 s(maxtemp).4 s(maxtemp).5 s(maxtemp).6 s(maxtemp).7
s(maxtemp).8 s(maxtemp).9 s(windspeed).1 s(windspeed).2 s(windspeed).3
s(windspeed).4 s(windspeed).5 s(windspeed).6 s(windspeed).7 s(windspeed).8
0.11775489 0.52515021 -0.47438941 -1.23068993 -1.01401703
-0.97945967 -3.47972451 2.59486238 0.80366715 0.87556554
0.88319105 1.64710232 1.39131761 1.03058868 1.10496623
s(windspeed).9 s(transport).1 s(transport).2 s(transport).3 s(transport).4
s(transport).5 s(transport).6 s(transport).7 s(transport).8 s(transport).9
0.86143533 -0.92804349 -0.81012945 -1.75752608 -1.20780659
-1.00271267 -1.79162143 -1.77980726 -1.80950105 -1.32644421
the predict value is:
15531.17181
does anyone can help me and let me know how to calculate this predict
value?!
I really want to know!
Thank!
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